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  <div>Ready for an interactive learning experience to develop applications and chatbots for diverse use cases using generative AI? <br /><br />This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain.<br /><br />In the course, you will work on hands-on projects to build chatbots and apps by utilizing popular large language models (LLMs) such as GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. Additionally, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating external information beyond their training data. This course also equips you to build voice-enabled chatbots and apps using IBM Watson® Speech Libraries for Embed.<br /><br />To develop these projects, you'll be using Python, making it essential to have a basic understanding of the language. While knowing some HTML, CSS, and JavaScript can be beneficial, it's not a requirement. The course includes supporting videos and readings to build a foundational understanding of models, frameworks, and technologies used in the projects.</div><div><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Image Captioning with Generative AI</strong></div><ul><li>Welcome to the Course</li><li>Captioning Photos with Generative AI</li><li>Module Summary and Assessment</li></ul><div><strong>Module 2: Create Your Own ChatGPT-like Website</strong></div><ul><li>Create Chatbot with Open Source LLMs</li><li>Module Summary and Assessment</li></ul><div><strong>Module 3: Create a Voice Assistant</strong></div><ul><li>Create a Voice Assistant with GPT-3 and IBM Watson</li><li>Module Summary and Assessment</li></ul><div><strong>Module 4: Generative AI-Powered Meeting Assistant</strong></div><ul><li>Create an App for Summarizing Meetings</li><li>Module Summary and Assessment</li></ul><div><strong>Module 5: Summarize Your Private Data with Generative AI</strong></div><ul><li>Create an App for Summarizing Your Private Data</li><li>Module Summary and Assessment</li></ul><div><strong>Module 6: Babel Fish with LLM and STT TTS</strong></div><ul><li>Create a Translation Assistant</li><li>Module Summary and Assessment</li></ul><div><strong>Module 7: Build an AI Career Coach</strong></div><ul><li>Create a Personalized Job Application Coach</li><li>Module Summary and Assessment</li><li>Course Wrap up</li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is suitable for individuals with a fundamental knowledge of generative AI, Python programming, and an interest in developing apps and chatbots. </div><div>To learn about the fundamentals of generative AI, please consider the following course:</div><ul><li><a href="https://www.coursera.org/learn/generative-ai-introduction-and-applications?specialization=generative-ai-for-everyone">Generative AI: Introduction and Applications</a></li></ul><div>To learn about development with Python programming, please consider the following course:</div><ul><li><a href="https://www.coursera.org/learn/python-for-applied-data-science-ai?specialization=applied-artifical-intelligence-ibm-watson-ai">Python for Data Science, AI, &amp; Development</a></li></ul><div>In addition, it can be beneficial, but not mandatory, if you have a basic knowledge about HTML, CSS, and JavaScript.  You may take the following course for a basic understanding:</div><ul><li> <a href="https://www.coursera.org/learn/introduction-html-css-javascript">Introduction to HTML, CSS, &amp; JavaScript | Coursera</a></li></ul><h1>Course Learning Objectives</h1><ul><li>Explain the core concepts of generative AI models, AI technologies, and AI platforms such as IBM watsonx and Hugging Face.  </li><li>Integrate and enhance large language models (LLMs) using RAG technology to infuse intelligence into apps and chatbots. </li><li>Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models. </li><li>Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.</li></ul>
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Building Generative AI-Powered Applications with Python

This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain.

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  <div>Welcome to the <strong>Project: Generative AI Applications with RAG and LangChain</strong> course. We are thrilled to have you embark on this advanced journey to apply your knowledge and skills in Generative AI, focusing on Retrieval-Augmented Generation (RAG) and LangChain. This capstone project will allow you to build practical applications that harness the power of these technologies.</div><div><strong>Prerequisites</strong></div><div>To get the most out of this course, you should be comfortable with the following topics and technologies:</div><ul><li>Basic understanding of generative AI concepts and models.</li><li>Familiarity with Python programming, particularly in AI/ML contexts.</li><li>Experience with libraries such as LangChain and frameworks for document processing and retrieval.</li></ul><div>If you need to learn more about these topics before taking this course, the following courses will offer the experience you need for success:</div><ul><li><br /><a href="https://www.coursera.org/learn/generative-ai-llm-architecture-data-preparation">Course 1: Generative AI and LLMs: Architecture and Data Preparation</a><br /><br /></li><li><br /><a href="https://www.coursera.org/learn/gen-ai-foundational-models-for-nlp-and-language-understanding">Course 2: Generative AI Model Foundations for NLP and Language Understanding</a><br /><br /></li><li><br /><a href="https://www.coursera.org/learn/generative-ai-language-modeling-with-transformers">Course 3: Generative AI Language Modeling with Transformers</a><br /><br /></li><li><br /><a href="https://www.coursera.org/teach/generative-ai-engineering-with-transformer-based-llms">Course 4: Generative AI Engineering and Fine-Tuning Transformers</a><br /><br /></li><li><br /><a href="https://coursera.org/learn/advanced-fine-tuning-for-generative-llms">Course 5: Advanced Fine-Tuning with Generative LLMs</a><br /><br /></li><li><br /><a href="https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain">Course 6: Fundamentals of AI Agents using RAG and LangChain</a><br /><br /></li></ul><div>After completing this course, you will be able to:</div><ul><li>Use LangChain to load documents from various sources such as PDF, CSV, URLs, and text. </li><li>Apply text-splitting techniques with RAG and LangChain to enhance model responsiveness. </li><li>Create and configure a vector database to store document embeddings and then develop a retriever to fetch document segments based on queries. </li><li>Set up a simple Gradio interface for model interaction and construct a QA bot using LangChain and LLM to answer questions from loaded documents.</li></ul><div><strong>Course Outline</strong></div><div>This course consists of three comprehensive modules:</div><div><strong>Module 1: Document Loader using LangChain</strong></div><ul><li><strong>Description:</strong> Learn to load documents from various sources and apply text-splitting techniques to enhance model responsiveness.</li><li><strong>Key topics:</strong></li><li>Different document loaders from LangChain</li><li>Text-splitter strategies</li></ul><div><strong>Module 2: RAG using LangChain</strong></div><ul><li><strong>Description:</strong> Create and configure a vector database, develop a retriever for document segments, and embed documents using watsonx’s embedding model.</li><li><strong>Key topics:</strong></li><li>Embedding the document</li><li>Advanced retrievers in LangChain</li></ul><div><strong>Module 3: Create a QA Bot to Read Your Document</strong></div><ul><li><strong>Description:</strong> Set up a Gradio interface for model interaction and construct a QA bot to answer questions based on loaded documents.</li><li><strong>Key topics:</strong></li><li>Introduction to Gradio</li><li>Wrapping the model into a QA bot</li></ul><div><strong>Tools/Software</strong></div><div>In this course, you will use free versions or trials of several tools including:</div><ul><li><strong>LangChain</strong></li><li><strong>watsonx</strong></li><li><strong>Gradio</strong></li></ul><div><strong>Disclaimer:</strong> Some activities in this course involve using paid services/models in watsonx. These activities are optional, and you may incur additional costs if you choose to use them.</div><div><strong>Tips for success</strong></div><ul><li>Stay organized and keep track of deadlines.</li><li>Regularly practice using the tools and technologies discussed in the course.</li><li>Engage with the community and ask questions if you need help.</li><li>Experiment with the examples provided to deepen your understanding.</li></ul><div>Congratulations on taking this important step toward mastering Generative AI applications! Enjoy your learning journey!</div>
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Project: Generative AI Applications with RAG and LangChain

Unlocking the power of Generative AI, this course empowers learners with Intermediate skills in both RAG and LangChain. Participants will explore innovative AI applications, enhancing their proficiency in Genera. Through hands-on projects, the course fosters a practical understanding of AI's capabilities and applications. Ideal for those seeking to deepen their AI expertise, the course bridges theory and practical implementation.

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  <div>Hello, and welcome to this course!</div><div>In this course, you will develop a strong understanding of database fundamentals, including database security and data protection strategies and injection vulnerabilities.</div><div>You will begin with an introduction to data and databases and explore various types of data, their sources, and applications. Additionally, you will learn SQL basics and gain a comprehensive understanding of essential database roles and permissions, effective management techniques, and the importance of regular database backups. You will also explore database injection vulnerabilities, data types, and classifications, along with a range of methods for securing data. Finally, you will gain a clear understanding of database injection vulnerabilities, including OS command injection and SQL injection.</div><div>This course is part of the<br /><a href="https://www.coursera.org/professional-certificates/ibm-cybersecurity-analyst"> IBM Cybersecurity Analyst Professional Certificate</a><br />, which is designed to equip learners with comprehensive skills and knowledge to secure the right career in the information security (Infosec) industry.</div><div>Prerequisites and Hardware Requirements</div><div>You will require basic computer and IT literacy. The course is suitable for professionals aspiring for a career in cybersecurity. It is also suitable for those working as IT professionals or aspiring network administrators seeking to advance their careers.</div><div>You can view videos and readings in the courses using any web-enabled device, including tablets and mobile phones. You will need a desktop or laptop computer, a modern web browser, such as Chrome, Firefox, Edge, or Safari, and a reliable internet connection to complete hands-on labs. You can complete labs and projects using virtual or cloud-based environments accessed using a web browser.</div><div>If you are new to cybersecurity, here are some courses that would be beneficial to take before starting this course:</div><div><strong>Course 1: </strong><br /><a href="https://www.coursera.org/learn/introduction-to-cybersecurity-careers">Introduction to Cybersecurity Careers</a><br /><br /></div><div><strong>Course 2: </strong><br /><a href="https://www.coursera.org/learn/introduction-to-cybersecurity-essentials">Introduction to Cybersecurity Essentials</a><br /><br /></div><div><strong>Course 3: </strong><br /><a href="https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks#modules">Introduction to Cybersecurity Tools &amp; Cyberattacks</a><br /><br /></div><div><strong>Course 4: </strong><br /><a href="https://www.coursera.org/learn/operating-systems-overview-administration-security?">Operating Systems: Overview, Administration, and Security</a><br /><br /></div><div><strong>Course 5: </strong><br /><a href="https://www.coursera.org/learn/network-security-database-vulnerabilities">Network Security &amp; Database Vulnerabilities</a><br /><br /></div><div>Course Objectives</div><div>After completing this course, you will be able to:</div><ul><li>Discuss job-ready data management skills employers need, including how to implement various data protection techniques to secure sensitive information</li><li>Describe how to configure and manage database user profiles, password policies, privileges, and roles</li><li>Analyze database injection vulnerabilities, including OS command and SQL injection</li><li>Practice how to design and implement comprehensive database and application auditing models</li></ul><div>Course Outline</div><div>This information-packed short course has three modules that should take approximately eight hours to complete. We encourage you to set aside time to complete all the modules. Consistency will help you achieve your learning goals!</div><div>To derive maximum benefit from this course, ensure to watch all the videos and go through the readings. Then, reinforce your learning by completing all the hands-on activities, such as the labs, the practice and graded quizzes, and the final project.</div><div>This course consists of four modules:</div><div><strong>Module 1: Database Fundamentals</strong></div><div>In this module, you will explore various data types, their sources, and their uses, gaining a solid understanding of both relational and non-relational databases. The module also covers core database fundamental and relational data concepts. Practical application is emphasized through hands-on labs, where you will work with relational data. Finally, a practice and graded quiz will help reinforce your understanding of these essential concepts.</div><div><strong>Module 2: SQL Basics and Database Management Fundamentals</strong></div><div>In this module, you will learn SQL basics and master essential SQL operations, including retrieving data using SELECT statements and WHERE clauses, employing expressions like COUNT, DISTINCT, and LIMIT, and modifying data with INSERT, UPDATE, and DELETE statements. Additionally, the module covers database structures, backup techniques, and managing database roles and permissions, enhancing your ability to maintain and optimize databases. The hands-on labs will emphasize practical application, where you will learn to write and execute various SQL commands and perform basic database operations. Finally, a practice and graded quiz will ensure you thoroughly understand these fundamental concepts.</div><div><strong>Module 3: Database Security and Data Protection Strategies</strong></div><div>In this module, you will gain the knowledge and skills to protect sensitive information, beginning with data types, classifications, and essential data protection practices to ensure integrity and confidentiality. You will also learn about database application security models and database auditing models. The module covers data security methods like encryption, hashing, masking, and access control, with hands-on labs to reinforce practical application. Finally, a practice and graded quiz will strengthen your grasp of these core concepts.</div><div><strong>Module 4: Injection Vulnerabilities</strong></div><div>In this final module, you will explore injection vulnerabilities, a crucial aspect of database security. You'll begin with an overview of injection flaws before diving into OS command injection, examining its techniques and security implications. The module also covers SQL injection and other injection vulnerabilities, expanding your understanding of potential threats. It concludes with resources to further enhance your knowledge and application of these concepts. You will also have access to a comprehensive glossary that defines key terms covered in this course.</div><div><strong>Tools/Software Used</strong></div><div>In this course, you will apply all the skills learned throughout the course in a concluding final project on Secure Online Retail Database System.</div><div>Congratulations on taking these steps to further your knowledge and career! Enjoy your journey.</div>
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Database Fundamentals and Vulnerabilities

Boost your database security knowledge with this intermediate course designed to strengthen your understanding of critical vulnerabilities. Learn to secure user profiles and implement robust password policies effectively. Gain practical skills in identifying and mitigating database injection vulnerabilities. Master database auditing models to ensure comprehensive protection.

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  <div>Explain to a potential learner why this course is important/interesting and what they can gain from taking your course.<br /><br /></div><h1>Course Syllabus</h1><div>This course is divided into six modules. It is recommended that you complete one module per week.<br /><br /></div><div><strong>Week 1, Module 1: Introduction to Business Intelligence (BI)</strong></div><div>This module introduces you to the field of business intelligence (BI). You will gain insight into the key concepts of BI and understand its importance in modern business operations. You will explore the benefits and challenges of implementing BI solutions through various examples. You will also gain insight into how BI, data analytics, data science, and data engineering are different. Additionally, you will learn about the career opportunities and roles in BI and the skills and qualifications to develop a successful career in the BI field. By the end of the module, you will have a fundamental foundation in BI and be able to apply your knowledge to understand its significance in real-world business scenarios.<br /><br /></div><div><strong>Week 2, Module 2: The Data Ecosystem</strong></div><div>In this module, you will learn about the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain insight into various types of data repositories, such as databases, data warehouses, data marts, data lakes, and data pipelines. In addition, you will learn about the extract, transform, and load (ETL) process, which is used to extract, transform, and load data into data repositories. Finally, the module also provides an overview of big data and big data processing tools such as Apache Hadoop, Hadoop Distributed File System (HDFS), Hive, and Spark.<br /><br /></div><div><strong>Week 3, Module 3: BI Analytics Landscape</strong></div><div>In this module, you will attempt a graded quiz to test and reinforce your understanding of the concepts covered in the course. The module also includes a glossary to enhance your comprehension of generative AI-related terms. Finally, this module will guide you toward the next steps in your learning journey. <br /><br /></div><div><strong>Week 4, Module 4: Gathering and Wrangling Data</strong></div><div>In this module, you will learn how to identify, gather, and import data from disparate sources. You will learn about the tasks involved in wrangling and cleaning data to prepare it for analysis. In addition, you will learn about different tools that can be used for gathering, importing, wrangling, and cleaning data, along with some of their characteristics, strengths, limitations, and applications.<br /><br /></div><div><strong>Week 5, Module 5: Mining and Visualizing Data and Communicating Results</strong></div><div>In this module, you will learn about the role of statistical analysis in mining and visualizing data. You will also be introduced to various statistical and analytical tools and techniques that can be used to gain a deeper understanding of your data. These tools help you analyze the patterns, trends, and correlations in data. Additionally, you will learn about various types of data visualizations to communicate and tell a compelling story and different tools that can be used for mining and visualizing data, along with some of their characteristics, strengths, limitations, and applications. Finally, the module delves into how you can effectively present the BI insights you have gained.<br /><br /></div><div><strong>Week 6, Module 6: BI Techniques and Final Project</strong></div><div>In this module, you will identify and apply the right BI techniques and tools to various real-world business scenarios and develop a comprehensive BI project. You will also gain the opportunity to apply your acquired knowledge and skills in a hands-on assignment. </div><div><br /></div><h1>General Information</h1><div>This course is for you if you are:</div><ul><li>An individual seeking an introduction to business intelligence and its tools and technologies </li><li>A professional who wants to improve their work by leveraging the power of BI and expanding their skill set</li><li>A manager or executive who wants to explore the use of BI tools or technologies in their organization </li><li>A student who wishes to gain knowledge and skills about BI to enhance their job readiness as a BI analyst</li><li>An IT or analytics professional who wants to transition from some other data specialization into BI</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is relevant for anyone interested in exploring the field of business intelligence and does not require any specific prerequisites or experience in data analysis or related fields.</div><div>The course uses simple, easy-to-understand language to explain the important concepts of BI without relying on technical jargon. The hands-on lab and activities don’t require any programming experience. Additionally, no specific education degree is required.</div><div>To derive maximum learning from this course, you only require active participation in and completion of the various learning engagements offered across the modules.</div>
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Business Intelligence (BI) Essentials

This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions. It also discusses career opportunities and roles available in the BI arena and the skills and qualifications required.You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process.

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  <div>Would you like to explore the complete process of developing cloud-native applications from inception to implementation? This course covers essential cloud concepts such as Cloud Native Applications and CNCF and their impact on cloud application developers. You'll delve into specific tools and techniques for building cloud-native apps. <br /><br /></div><div>Next, you'll discover how to enhance your organization's culture through DevOps. You'll ensure consistent behavior and maintain high code quality by experimenting with various approaches, such as test-driven and behavior-driven development. <br /><br />Furthermore, you will explore the benefits of implementing Continuous Integration and Continuous Delivery practices alongside Agile methodologies and Scrum practices and how aligning teams and promoting autonomy contributes to developing superior systems. The course also covers critical MongoDB principles, offering an in-depth understanding of its characteristics. Additionally, you'll gain insights into IBM Cloudant, exploring its architecture, technologies, advantages, and everyday use cases. <br /><br />Finally, you'll undertake a final project where you'll deploy and modernize an application, create user stories, enhance functionality, and redeploy using CI/CD. This project will be an excellent addition to your portfolio, displaying your newfound skills.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Introduction to Cloud Native</strong></div><ul><li>Welcome to Developing Cloud Native Applications</li><li>Cloud Computing Overview</li><li>Cloud Native Applications</li><li>CNCF</li><li>Hybrid Cloud (Optional)</li><li>Modernizing with Cloud Native Technologies</li></ul><div><strong>Module 2: DevOps &amp; CI/CD</strong></div><ul><li>Introduction to DevOps &amp; CI/CD</li><li>Definition of DevOps</li><li>Essential Characteristics of DevOps</li><li>Test Driven Development</li><li>Behavior Driven Development (BDD)</li><li>What Is CI/CD?</li><li>Benefits of CI/CD</li><li>Tools for DevOps, CI and CD</li><li>DevOps Tools Categories and Their Available Tools</li><li>Hands-on Lab: CI/CD in Action</li><li>Everyone is Responsible for Success</li></ul><div><strong>Module 3: Agile and Scrum</strong></div><ul><li>Introduction to Agile Development and Scrum</li><li>Agile Principles</li><li>Scrum Overview</li><li>Organizational impact of Agile</li><li>Mistaking Iterative Development for Agile</li><li>Destination Unknown</li><li>Agile Roles and the Need for Training</li><li>Creating Good User Stories</li><li>Effectively using Story Points</li><li>Building the Product Backlog</li><li>Sprint Planning</li><li>The Sprint Review</li><li>The Sprint Retrospective</li><li>Hands-on Lab: Get Set Up in ZenHub</li><li>Hands-on Lab: Creating stories in ZenHub</li></ul><div><strong>Module 4: NoSQL Databases in Cloud</strong></div><ul><li>Overview of NoSQL</li><li>Overview of MongoDB</li><li>Advantages of MongoDB</li><li>Use Cases for MongoDB</li><li>MongoDB in the Cloud IDE</li><li>Hands-on Lab: Getting Started with MongoDB</li><li>Hands-on Lab: MongoDB CRUD</li><li>CRUD Operations</li><li>Hands-On Lab: Accessing MongoDB from Python (Optional)</li></ul><div><strong>Final Project</strong></div><ul><li>Final Project Overview</li><li>Final Project Instruction</li><li>Peer Graded Assignment</li></ul><h1><strong>What you'll learn</strong></h1><div>After completing this course, a learner will be able to:</div><ul><li>Explore cloud-native applications concepts and methodologies.</li><li>Recognize CNCF’s impact, and analyze the benefits of CI/CD, Agile, and Scrum.</li><li>Recognize the DevOps culture and its significance.</li><li>Differentiate between TDD and BDD and explore the principles and characteristics of MongoDB.</li><li>Implement CI/CD practices and connect and integrate user stories to facilitate the Agile development process.</li><li>Enhance application functionality using tools and techniques.</li><li>Perform basic data operations using MongoBD and CRUD operations</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><ul><li>Familiarity with Cloud concepts and terminology </li><li>Basic literacy in Cloud Application Development </li><li>Basic knowledge of HTML and Javascript </li></ul>
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Get Started with Cloud Native, DevOps, Agile, and NoSQL

Learn to develop cloud-native applications from scratch in this comprehensive course. Covering key cloud concepts, tools, and techniques, you'll also explore DevOps culture, CI/CD practices, and MongoDB principles.

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  <div>If you’re just starting your project management career, or switching into the field, a capstone project is an excellent way to showcase your practical experience to a prospective employer. This Capstone for Project Management course is designed for professionals who have some experience in project management, or have completed introductory training in project management and are now ready to apply their new skills in a real-world scenario.<br /><br /></div><div>During this course, you’ll take on the role of a project manager and gain hands-on experience in managing a project from start to finish.<br /><br /></div><div>As you work through the modules, you’ll produce common project deliverables. Using a predictive methodology, you’ll create artifacts such as a work breakdown structure, network diagram, budget, quality and communications management plans, and a risk register. You’ll develop user stories, examples of product and sprint backlogs, and a burndown chart analysis. Plus, you’ll produce a project status report, a change form, and a closeout report.<br /><br /></div><div>By the end of the course, you’ll have created numerous artifacts that demonstrate your knowledge of predictive and adaptive methodologies which you can add to your portfolio.<br /><br /></div><div>If you’re keen to build practical experience as a project manager that you can talk about in interviews, ENROLL TODAY and get ready to power up your resume with skills employers are looking for.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Scenario Introduction and Project Initiation</strong></div><ul><li>Reading: Module 1 Overview and Activity Requirements</li><li>Video: Project Scenario Introduction</li><li>Reading: Project Scenario</li><li>Reading: Business Case</li><li>Reading: Stacey Analysis</li><li>Screencast Video: Project Initiation Review</li><li>Hands-on Lab: Create a Project Charter and Stakeholder Register</li><li>Reading: Module 1 Summary</li><li>Reading: Module 1 Glossary of Terms</li><li>Quiz</li></ul><div><strong>Module 2: Predictive Project Planning</strong></div><ul><li>Reading: Module 2 Overview and Activity Requirements</li><li>Screencast Video: Review Scope, Time, and Cost Planning Review</li><li>Hands-on Lab: WBS, Project Network Diagram and High-level budget</li><li>Quiz</li><li>Screencast Video: Review of Quality, Communications, and Risk</li><li>Hands-on Lab: Quality, Communications Plans and Risk Register</li><li>Reading: Module 2 Summary</li><li>Reading: Module 2 Glossary of Terms</li><li>Quiz</li></ul><div><strong>Module 3: Adaptive Project Planning and Execution</strong></div><ul><li>Reading: Module 3 Overview and Activity Requirements</li><li>Screencast Video: Review of User Story, Product Backlog, and Sprint Backlog Review</li><li>Hands-on Lab: User Stories,</li><li>Quiz</li><li>Graded quiz (7 Questions)</li><li>Agile Execution</li><li>Reading: Review a Project and Scenario Update</li><li>Hands-on Lab: Lab Burndown Chart Analysis</li><li>Reading: Module 2 Summary</li><li>Reading: Module 2 Glossary of Terms</li><li>Quiz</li></ul><div><strong>Module 4: Adaptive Planning and Execution</strong></div><ul><li>Reading: Module 4 Overview and Activity Requirements</li><li>Reading: Review a Project and Scenario Update</li><li>Screencast Video: Status Reporting</li><li>Hands-on Lab: Status Report and Change Analysis</li><li>Quiz</li><li>Reading: Lessons Learned Report and Retrospective</li><li>Screencast Video: Close Out Reporting</li><li>Hands-on Lab: Project Close Out Report</li><li>Reading: Module 3 Summary</li><li>Reading: Module 3 Glossary of Terms</li><li>Quiz</li></ul><div><strong>Module 5: Final Submission and Evaluation</strong></div><ul><li>Reading: Module 5 Overview and Project Submission Requirements</li><li>Reading: Submission Rubric and Grading</li><li>Submit Required Deliverables</li><li>Reading: Congratulations from the Team</li><li>Reading: Introduction to Bonus Module 6</li><li>Reading: Introduction to the Project Management</li><li>CAPM Preparation Course</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Basic computer literacy and familiarity with Office productivity software such as Microsoft Word, Excel, and PowerPoint.<br /><br /></div><h1>Course objectives</h1><ul><li>Build valuable hands-on experience as a project manager you can showcase to an employer in just 3 weeks.</li><li>Demonstrate end-to-end project knowledge of project manager capabilities.</li><li>Manage scope and resources, and kick off a project as a project manager.</li><li>Plan a project using adaptive methodologies such as Scrum and Sprints.</li><li>Create predictive method artifacts such as a work breakdown structure, network diagram, quality and communications plans, and a risk register.</li></ul>
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Project Management Capstone

Gain valuable hands-on experience as a project manager. Build a portfolio of key deliverables that showcase your skills in predictive and adaptive methodologies and will catch the eye of a prospective employer.

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  <div>In today’s fast-changing global market, companies need skilled product managers to develop breakthrough products or to expand their existing offerings. By the end of this course, you will understand what a product manager does in their role and the skills you need to become one. <br /><br /></div><div>This introductory course is a valuable investment for those looking to start a career in product management.   <br /><br />Learn key product management concepts such as the product lifecycle, personas, value creation, and SWOT analysis. Gain an understanding of the job opportunities in product management and the industry-standard Guide to the Product Management Body of Knowledge, ProdBoK®.   <br /><br />The hands-on labs provide opportunities to investigate product management in simulated real-world settings. You’ll hear from industry experts discussing their points of view, so you learn about their first-hand experiences.   <br /><br />This course is the first in a series of courses, which, once completed, will earn you the IBM Product Management Professional Certificate. Anyone can take this beginner-level course, which does not require any prior Product Management skills or background.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Video: Introduction to IBM Product Management Professional Certificate </li><li>Video: Meet the Experts </li><li>Reading: Helpful Tips for Course Completion </li></ul><div><strong>Module 1: Product Manager Profession Overview</strong> </div><ul><li>Reading: Module 1 Introduction and Objectives </li><li>Video: Define Product Management </li><li>Video: Role of a Product Manager </li><li>Video: Expert Viewpoints: Role of Product Manager </li><li>Reading: Product Manager Skill Inventory </li><li>Video: Expert Viewpoints: Product Manager Skills </li><li>Video: The Product Manager’s Business Acumen </li><li>Video: Expert Viewpoints: Business Acumen and the Product Manager </li><li>Lab: Review a Product Development Scenario </li><li>Practice Quiz: Module 1: Product Manager Profession Overview </li><li>Video: Expert Viewpoints: A Top Executive’s View on Product Management – Part 1 </li><li>Lab: New Plugin Item </li><li>Reading: Module 1 Summary: Product Manager Profession Overview </li><li>Activity: Guage Your Interest in Typical Product Management Tasks </li><li>Reading: Module 1 Glossary: Product Manager Profession Overview </li><li>Module 1 Quiz: Product Manager Profession Overview </li></ul><div><strong>Module 2: The Product Lifecycle and the Product Manager</strong> </div><ul><li>Reading: Module 2 Introduction and Objectives </li><li>Video: What Is a Product? </li><li>Video: Expert Viewpoints: Your Experience </li><li>Video: A Day in the Life of a Product Manager </li><li>Video: Expert Viewpoints: Challenges of Product Management </li><li>Video: Soft Skills for a Product Manager </li><li>Reading: Forming the Right Personality </li><li>Video: Expert Viewpoints: Personality Traits of a Product Manager </li><li>Lab: The Role of a Product Manager </li><li>Practice Assignment: Product and Product Management </li><li>Video: Expert Viewpoints: A Top Executive’s View on Product Management – Part 2 </li><li>Video: The Product Lifecycle </li><li>Video: The Product Management Lifecycle </li><li>Video: Expert Viewpoints: The Product Management Lifecycle </li><li>Reading: Product Management Lifecycle Key Deliverables </li><li>Video: Product Management Functional Areas </li><li>Video: The Product Management Team and Stakeholders </li><li>Video: Expert Viewpoints: Critical Roles and Collaboration  </li><li>Lab: Case Study – Review a Product Concept </li><li>Practice Quiz: Module 2: The Product Lifecycle and the Product Manager </li><li>Reading: Module 2 Summary: The Product Lifecycle and the Product Manager </li><li>Activity: Identify Tasks in the Product Management Lifecycle </li><li>Reading: Module 2 Glossary: The Product Lifecycle and the Product Manager </li><li>Module 2 Graded Quiz: The Product Lifecycle and the Product Manager </li></ul><div> </div><div><strong>Module 3: Product Management Fundamentals</strong> </div><ul><li>Reading: Module 3 Introduction and Objectives </li><li>Video: Value Creation </li><li>Video: Expert Viewpoints: Creating Value </li><li>Reading: Describe an Entrepreneur </li><li>Video: The Product Manager and Entrepreneurial Connection </li><li>Video: Critical Thinking and the Product Manager </li><li>Video: Expert Viewpoints: Thoughts on Critical Thinking </li><li>Video: Summarize the Portfolio Approach </li><li>Video: Portfolio Approach: Benefits and Challenges </li><li>Reading: Portfolio Approach Cheatsheet </li><li>Video: Expert Viewpoints: Product Strategy Challenges </li><li>Video: The Product Manager and the Project Manager </li><li>Video: Expert Viewpoints: Project and Product Manager Relationship </li><li>Video: Project Management Lifecycles </li><li>Reading: Case Study: Developing a High-Impact Product </li><li>Practice Quiz: Module 3: Product Management Fundamentals </li><li>Reading: Module 3 Summary: Product Management Fundamentals </li><li>Activity: Identify Product and Product Manager Tasks </li><li>Reading: Module 3 Glossary: Product Management Fundamentals </li><li>Module 3 Graded Quiz: Product Management Fundamentals </li></ul><div><strong>Module 4: Product Management Opportunities and Certifications</strong> </div><ul><li>Reading: Module 4 Introduction and Objectives </li><li>Video: Employment Opportunities in Product Management </li><li>Reading: Current State of Product Management  </li><li>Video: Expert Viewpoints: Preparation to Become a Product Manager </li><li>Lab: Identifying How Product Management Can Help </li><li>Reading: Introduction to the Product Management and Marketing Body of Knowledge (ProdBOK) </li><li>Practice Quiz: Module 4: Product Management Opportunities and Certifications </li><li>Video: Improve Your Product Manager Resume </li><li>Video: Expert Viewpoints: Product Manager Certification and Resume Building  </li><li>Reading: Module 4 Glossary: Product Management Opportunities and Certifications </li><li>Reading: Module 4 Summary: Product Management Opportunities and Certifications </li><li>Module 4 Graded Quiz: Product Management Opportunities and Certifications </li></ul><div><strong>Module 5: Final Project, Assessment, and Course Wrap-up</strong> </div><ul><li>Reading: Module 5 Introduction and Objectives </li><li>Reading: Final Project Scenario </li><li>Reading: Final Project Lab </li><li>Graded Quiz: Final Exam </li><li>Reading: Re-take Exam </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Thanks from the Course Team </li><li>Reading: Copyrights and Trademarks </li><li>Reading: Feedback </li><li>Reading: How to Claim your Certificate </li><li>Reading: Claim your Badge here </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>No prior product management skills or background is required. This course is ideal for beginners looking to start a career in product management. </div><div><br /></div><h1>Course objectives</h1><ul><li>Understand the roles, responsibilities, and key competencies required for a successful product manager. </li><li>Analyze the product life cycle and product management life cycle </li><li>Explore “value creation” and analyze how product managers contribute to creating value in products. </li><li>Compare career paths in product management and discover certifications that can help you advance in the field. </li><li>Gain insights into the Guide to the Product Management Body of Knowledge (ProdBOK) to align with industry standards. </li></ul>
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Product Management: An Introduction

Gain hands-on experience in product management, mastering the product lifecycle, value creation, and SWOT analysis. 

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  <div>Building flexible, fast, and responsive websites and front-ends with a consistent look and feel has become a basic requirement. To accomplish this, the use of libraries and frameworks is trending. As a front-end developer, it is important that you know at least one front-end framework.<br /><br /></div><div>Bootstrap is a CSS framework that provides an extensive set of templates that help with speeding up the website development process. According to W3Tech.com, Bootstrap is a popular CSS framework that is used by 18.7% of all the websites, that is a CSS framework market share of 78.6%. <br /><br />In this short course, which is part of the IBM Front-End Developer Professional Certificate, you will not only equip yourself with concepts but get several opportunities to practice building website components using Bootstrap. <br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Getting Started with Bootstrap</strong><br />The first module will take you through the basics of Bootstrap. Starting with the definition of Bootstrap, you will learn to set up Bootstrap for your project and some Bootstrap-related concepts. Then, you will initiate your learning into Bootstrap-related features for basic components, such as layouts and contents. The module will also provide a brief overview of how Bootstrap manages browser compatibility.<br /> <br /><strong>Module 2: Intermediate Bootstrap</strong><br />Module 2 begins with an introduction to the different components that have readily available classes in Bootstrap. You will then get familiar with utility and Helper classes in Bootstrap. You will also learn about Bootstrap icons and how to use them in your websites. After a short reading on how React integrates with Bootstrap, you will learn about card components and the grid system. <br /><br /><strong>Module 3: Final Project and Quiz</strong><br />In the last module, you will include a final project overview and a module-end assessment. While the project will not be scored, make sure to attempt it as it will be a good addition to your portfolio!<br /><br /></div><h1>What you'll learn</h1><div>After completing this course, you will be able to:<br />- Describe the features of Bootstrap<br />- Set up Bootstrap for a project using a suitable method<br />- Outline key classes and components offered by Bootstrap<br />- Create a simple React app and use Bootstrap for styling<br />- Create a responsive grid layout<br />- Demonstrate your proficiency in using Bootstrap classes and components to build responsive websites<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course is intended for anyone interested in learning Bootstrap or is looking at a career in the front-end and web development.</div><div>A good knowledge and some hands-on experience in HTML, CSS, JavaScript is essential to make the most of this course. It is also recommended that you have a basic knowledge of React.</div>
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Developing Websites and Front-Ends with Bootstrap

Welcome to this course on Bootstrap! In this course you will be introduced to Bootstrap, its key concepts, and applications. The final project will guide you through developing a website using Bootstrap classes and components. Upon course completion, you will receive a Certificate and Badge from IBM.

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  <div>According to internetlivestats.com, there are over 1.58 billion websites of which 200 million are active websites. This number is constantly growing with most businesses leaning towards building their own websites or enhancing them. This requires skilled web developers to get the job done. </div><div> </div><div>In this capstone project to the IBM Front-End Developer Professional Certificate you will use all of the design and coding skills you gained through the program to implement a responsive website. Not only will this hands-on experience help you gain confidence and comfort in building websites, but your will have a portfolio of examples to show employers. </div><div> </div><div>In this five-week capstone project, you will design and develop website component layouts and push them to a GitHub repository. The comprehensive website you build will use HTML, CSS, and React.  </div><div>This capstone project is an advanced level course that builds upon what was learned in the previous courses in the e <a href="https://www.coursera.org/professional-certificates/ibm-frontend-developer"><strong>IBM Front-End Developer Professional Certificate</strong></a>. It is highly recommended that learners complete all prior courses in the program, or possess equivalent knowledge, before launching this capstone project. </div><div> </div><div><strong>Course Syllabus</strong></div><div><strong>Module 1: Getting Started with the Capstone</strong></div><ul><li><strong>Lesson 0:</strong> Course Overview</li><li><strong>Lesson 1:</strong> Introduction to the Capstone Project</li><li><strong>Lesson 2:</strong> Designing Website Layouts</li></ul><div><strong>Module 2: Developing Static Website Pages using HTML &amp; CSS</strong></div><ul><li><strong>Lesson 1: </strong>Setting Up the GitHub Repository</li><li><strong>Lesson 2: </strong>Developing Static Website Layouts</li></ul><div><strong>Module 3: Developing Dynamic React Components – Part I</strong></div><ul><li><strong>Lesson 1:</strong> Setting Up the React Environment</li><li><strong>Lesson 2:</strong> Converting Static Website Pages to Dynamic Components</li><li><strong>Lesson 3:</strong> Building and Integrating Dynamic React Components</li></ul><div><strong>Module 4: Developing Dynamic React Components – Part II</strong></div><ul><li><strong>Lesson 1:</strong> Building the Notification Component</li><li><strong>Lesson 2:</strong> Building the Reviews Component</li><li><strong>Lesson 3:</strong> Building the Profile Component</li></ul><div><strong>Module 5: Building, Deploying, and Updating the Website</strong></div><ul><li><strong>Lesson 1: </strong>Building and Deploying the Website</li><li><strong>Lesson 2: </strong>Making Changes and Updating the Website Post Production</li></ul><div><strong>Module 6: Final Project Submission and Peer Review</strong></div><ul><li><strong>Lesson 1: </strong>Submit Your Project and Grade Peer Submission</li><li><strong>Lesson 2: </strong>Course Wrap-Up</li></ul><div><br /></div>
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Front-End Development Capstone Project

Enhance your expertise in advanced front-end web development through a focused capstone project. Master cloud development skills using HTML, CSS, and React while integrating cutting-edge web technologies. Develop your ability to create seamless user interfaces by utilizing comprehensive web development frameworks. Elevate your capabilities in front-end and cloud environments to deliver high-quality web solutions.

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  <div>Have you encountered a website with stunning design, user-friendly interactivity, and dynamic elements and wondered how it was put together? If so, this course is designed for you! It is tailored for aspiring front-end developers or those who want to get started in this field. <br /><br /></div><div>In this course, you will gain an understanding of front-end and web development, exploring the significance of User Interface (UI) and User Experience (UX) design. You will delve into the workings of web browsers and the internet, learning about the tools and technologies that enable you to create interactive and engaging websites and applications. Additionally, you'll explore No-Code development and be introduced to Content Management Systems (CMS). <br /><br />Throughout this course, we will provide step-by-step instructional guidance to help you engage in hands-on activities. You will also discover various job opportunities and potential career paths in the front-end development field and hear from industry professionals about their roles and experience as front-end developers. <br /><br />This course is designed for beginners in Front-end development and does not require prior programming or web development experience.</div><h1><br /><strong>Course Syllabus</strong></h1><div><strong>Module 1: Introduction to Web and Front-End Development</strong></div><div><strong>Lesson 0:</strong> Welcome</div><div><strong>Lesson 1:</strong> Introduction to Front-End and Web Development</div><div><strong>Lesson 2:</strong> Module Summary and Assessment<br /><br /></div><div><strong>Module 2: Web Infrastructure Basics and Terminology</strong></div><div><strong>Lesson 1: </strong>Introduction to Website Basics</div><div><strong>Lesson 2: </strong>Web Hosting, Protocols, and Languages</div><div><strong>Lesson 3:</strong> Module Summary and Assessment<br /><br /></div><div><strong>Module 3: Introduction to Application Development</strong></div><div><strong>Lesson 1:</strong> Application Development Essentials</div><div><strong>Lesson 2:</strong> Module Summary and Assessment<br /><br /></div><div><strong>Module 4: Get Started with No-Code Development</strong></div><div><strong>Lesson 1:</strong> Introduction to No-Code</div><div><strong>Lesson 2:</strong> Content Management Systems</div><div><strong>Lesson 3:</strong> Module Summary and Assessment<br /><br /></div><div><strong>Module 5: Front-End Developer Skills and Career Paths</strong></div><div><strong>Lesson 1: </strong>Front-End Development Career Roadmap</div><div><strong>Lesson 2:</strong> Module Summary and Assessment<br /><br /></div><div><strong>Module 6: Final Project and Course Wrap-up</strong></div><div><strong>Lesson 1: </strong>Final Project</div><div><strong>Lesson 2: </strong>Course Wrap-Up</div><div><strong>Lesson 3:</strong> HONORS Project</div>
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Getting Started with Front-End and Web Development

Discover cloud development foundations with this beginner-friendly course. Learn key skills: web development, WordPress setups, and front-end design. Explore no-code tools for seamless UI/UX projects. Empower innovation in web projects easily.

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  <div>Generative AI is now mainstream. Boost your career with a course that features leading-edge, in-demand, generative AI skills tuned to the needs of data scientists. <br /><br /></div><div>This course is suitable for existing and aspiring data scientists, data professionals, analysts, and engineers.  <br /><br />The course addresses real-world data science problems data scientists encounter—across multiple industries— with data generation, data augmentation, and feature engineering. Gain skills you can immediately put to use implementing generative AI models and techniques that address these real-world issues. <br /><br />Then, learn how to use generative AI to speed data visualizations, build models and to produce data insights. You’ll also learn about key ethics considerations around generative AI and data, key concerns for executives across industries.  <br /><br />Demonstrate your new generative AI skills in a hands-on data augmentation and feature engineering project that you can apply in your real-life profession.  <br /><br />Then complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.<br /><br /></div><h1><strong>Course Syllabus </strong></h1><div><strong>Module 1: Data Science and Generative AI </strong></div><ul><li>Welcome</li><li>Data Science and Generative AI  </li><li>Generative AI for Data Preparation and Querying</li><li>Module Summary and Quiz</li></ul><div><strong>Module 2: Use of Generative AI for Data Science</strong></div><ul><li>Generative AI for Understanding Data and Model Building</li><li>Generative AI Considerations for Data Professionals </li><li>Module Summary and Quiz</li></ul><div><strong>Module 3: Guided Project and Exam  </strong></div><ul><li>Final Project</li><li>Final Exam</li><li>Course Wrap-Up</li></ul><div><br /><br /></div>
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Generative AI: Elevate your Data Science Career

Enhance your data science career by learning intermediate-level generative AI skills. This course teaches you how to excel in artificial intelligence and data science through practical applications. Gain expertise in data generation, querying databases, and data analysis, essential for modern data professionals. Equip yourself with the knowledge to innovate and lead in the AI-driven world.

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  <div>This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape. <br /><br /></div><div>In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries.<br /><br />You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more.<br /><br />Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate. <br /><br />This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics. It requires some basic knowledge of data analytics, prompt engineering, Python programming and generative artificial intelligence.<br /><br /></div><h1><strong>Course Syllabus</strong></h1><div><strong>Module 1: Data Analytics and Generative AI</strong></div><ul><li>Welcome</li><li>Data Analytics and Generative AI  </li><li>Generative AI for Data Preparation and Insights</li><li>Module Summary &amp; Assessment</li></ul><div><strong>Module 2: Use of Generative AI for Data Analytics</strong></div><ul><li>Generative AI for Data Visualization and Storytelling</li><li>Generative AI Considerations in Data Analytics<em> </em></li><li>Module Summary &amp; Assessment</li></ul><div><strong>Module 3: Final Project and Final Exam</strong></div><ul><li>Final Project</li><li>Final Exam</li><li>Course Wrap-Up</li></ul><div><br /></div>
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Generative AI: Enhance your Data Analytics Career

Enhance your data analytics career by mastering generative AI for data analysis. Learn intermediate-level skills in artificial intelligence and data augmenting techniques. Explore querying databases to improve data insights. Unlock new potential in your analytics projects.

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  <div>With this beginner friendly course, learn fundamental Cybersecurity skills that are crucial for anyone using computing devices and connecting to the Internet.  <br /><br /></div><div>You will first learn to recognize common security threats and risks that individuals and organizations may face, such as theft, tampering, and destruction of sensitive information. You’ll then discover the characteristics of cyberattacks and learn how you can employ best practices to guard against them.  <br /><br /></div><div>Next, you’ll learn about the best practices against cyberattacks. These include using strong passwords, good password management, and multi-factor authentication. You’ll learn ways in which you can strengthen your security plan with techniques like device hardening, encryption and more. <br /><br /></div><div>You’ll then learn about safe browsing practices. You’ll gain an understanding of why you must practice safe browsing; to protect yourself against hackers, phishing, identity theft, security leaks, privacy issues and more. You’ll also explore methods for securing and managing confidential information. Then, discover how to configure browsers to help reduce security breaches. <br /><br /></div><div>Throughout this course you will complete many hands-on labs which will enhance your understanding of course material. At the end of this course, you will have the opportunity to complete a final project where you will demonstrate your proficiency in cybersecurity. <br /><br /></div><div>Designed specifically for beginners and those who are interested in a Cybersecurity Specialist or Analyst roles as well as entry-level roles in Information Security (Infosec) engineering. This course dives into the world of cybersecurity to give you the critical skills employers need. It also supports the needs of technical and IT support roles, who can find themselves on the front lines of defense for cybersecurity issues.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Common Security Threats and Risks</strong></div><ul><li>Confidentiality, Integrity, and Availability</li><li>Security and Information Privacy </li><li>Activity: Exploring Information Privacy</li><li>Threats and Breaches</li><li>Hands-on Lab: Windows Update</li><li>Threat Types</li><li>Phishing, Social Engineering, and Other Attacks</li><li>Activity: Identifying an Attack</li><li>Case Study</li><li>Activity: Identifying Malware Threats </li><li>Hands-on Lab: Windows Defender Antivirus </li><li>(Optional Activity) Cybersecurity Ops: Terminal</li><li>Just for Fun - Hands-on Lab: Hacker Typer</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Common Security Threats and Risks</li><li>Graded Quiz: Common Security Threats and Risks</li></ul><div><strong>Module 2: Security Best Practices </strong></div><ul><li>Password Management Techniques  </li><li>Authentication and SSO</li><li>Hands-on Lab: Enforce Strong Password Policies</li><li>Security Threats: Access Control, Authorization, and Authentication</li><li>Hardening Devices  </li><li>Firewalls</li><li>Hands-on Lab: Windows Defender Firewall</li><li>Security Threats: Validation and Device Usage</li><li>Security Threats: Encryption Concepts</li><li>Managing Email and Spam</li><li>Activity: Identifying Phishing Attempts</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Security Best Practices </li><li>Graded Quiz: Security Best Practices </li></ul><div><strong>Module 3: Safe Browsing Practices</strong></div><ul><li>Safe Browsing Practices: Application Ecosystem Security</li><li>Safe Browsing Practices: Public Browsing Risks</li><li>Safe Browsing Practices: Plug-ins, Extensions, and Toolbars</li><li>Security Threats: Safe Browsing Techniques</li><li>Hands-on Lab: Managing Browser Security and Privacy Settings</li><li>Virtual Private Networks</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Safe Browsing Practices</li><li>Graded Quiz: Safe Browsing Practices</li></ul><div><strong>Module 4: Final Quiz </strong></div><ul><li>Graded Quiz: Final Quiz</li></ul><div><strong>Course Wrap Up</strong></div><ul><li>Glossary: Introduction to Cybersecurity Essentials</li><li>Congrats &amp; Next Steps</li><li>Thanks from the Course Team</li></ul><div>[Optional] <strong>Final Project</strong></div><ul><li>About this Honors Project</li><li>Hands-on Lab: Perform Final Project Tasks</li><li>Submit your Assignment and Grade your Peers</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Basic computer operating skills, including using a web browser.<br /><br /></div><h1>What You'll Learn</h1><ul><li>Recognize the importance of data security, maintaining data integrity, and confidentiality</li><li>Demonstrate the installation of software updates and patches</li><li>Identify preferred practices for authentication, encryption, and device security</li><li>Discuss types of security threats, breaches, malware, social engineering, and other attack vectors</li></ul>
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Beginners Guide to Cybersecurity

This course teaches key skills to protect against security threats, breaches, and risks, with best practices for everyone, especially those interested in Cyber Analyst or Cloud & Security Engineer roles.You’ll then learn about safe browsing practices. You’ll gain an understanding of why you must practice safe browsing; to protect yourself against hackers, phishing, identity theft, security leaks, privacy issues and more. You’ll also explore methods for securing and managing confidential information. Then, discover how to configure browsers to help reduce security breaches. 

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  <div>Today’s businesses are investing significantly in capabilities to harness the massive amounts of data that fuel Business Intelligence (BI). Working knowledge of Data Warehouses and BI Analytics tools are a crucial skill for Data Engineers, Data Warehousing Specialists and BI Analysts, making who are amongst, the most valued resources for organizations.<br /><br /></div><div>This course prepares you with the skills and hands-on experience to design, implement and maintain enterprise data warehouse systems and business intelligence tools. You’ll gain extensive knowledge on various data repositories including data marts, data lakes and data reservoirs, explore data warehousing system architectures, deepen on data cubes and data organization using related tables. And analyze data using business intelligence like Cognos Analytics, including its reporting and dashboard features, and interactive visualization capabilities.<br /><br /></div><div>This course provides hands-on experience with practice labs and a real-world inspired project that can be added to your portfolio and will demonstrate your proficiency in working with data warehouses. Skills you will gain include building data warehouses, Star/Snowflake schemas, CUBEs, ROLLUPs, Materialized Views/MQTs, reports and dashboards.<br /><br /></div><div>This course assumes prior SQL and relational database experience.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Data Warehouses, Data Marts, and Data Lakes</strong></div><ul><li>Data Warehouse Overview</li><li>Popular Data Warehouse Systems</li><li>Selecting a Data Warehouse System</li><li>IBM Db2 Warehouse (Optional)</li><li>Data Marts Overview</li><li>Data Lakes Overview</li></ul><div><strong>Module 2: Designing, Modeling, and Implementing Data Warehouses</strong></div><ul><li>Overview of Data Warehouse Architectures</li><li>CUBEs, ROLLUPs, Materialized Views and Tables</li><li>Facts and Dimensional Modeling</li><li>Data Modeling using Star and Snowflake Schemas</li><li>Staging Areas for Data Warehouses</li><li>Verify Data Quality</li><li>Populating a Data Warehouse</li><li>Querying the Data</li></ul><div><strong>Module 3: Data Warehouse Analytics</strong></div><ul><li>Introduction to Analytics and Business Intelligence (BI) Tools</li><li>Cognos Analytics: Introduction and How to Sign Up</li><li>Navigating in Cognos Analytics</li><li>Creating a Simple Dashboard in Cognos</li><li>Advanced Capabilities in Cognos Analytics Dashboards</li><li>Accessing Your Warehouse with Cognos</li></ul><div><strong>Module 4: Final Assignment<br /></strong><br /></div><h1>What you will learn: </h1><div>After completing this course, you will be able to: </div><ul><li>Explain the architecture, features, and benefits of data warehouses, data marts, and data lakes and identify popular data warehouse system vendors. </li><li>Design and populate a data warehouse, and model and query data using SQL to build CUBEs, ROLLUPs, and Materialized Views.  </li><li>Analyze warehouse data using popular Business Intelligence (BI) tools such as Cognos Analytics to create reports and dashboards.  </li><li>Demonstrate loading data into a data warehouse, writing aggregation queries, creating materialized query tables, and building an analytics dashboard.</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><ul><li>Learners should have a working knowledge of SQL and relational databases.</li></ul>
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Data Warehousing and BI Analytics

This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools.

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  <div>The demand for data analysts is projected to grow by over 30 percent (US Bureau of Labor Statistics). Businesses need data analysis skills! In this course, you’ll explore the fundamentals of data analysis and kickstart your data analytics journey.  </div><div>  </div><div>During this course, which is also part of the IBM Data Analyst Professional Certificate, you’ll explore the modern data ecosystem and the roles of data engineers, data analysts, data scientists, business analysts, and business intelligence analysts. You’ll learn about a data analyst's daily tasks and responsibilities, looking at techniques for gathering, cleaning, and preparing data for analysis. Plus, you'll gain a comprehensive understanding of the tools and technologies data professionals use.   </div><div> </div><div>You will learn about:  </div><ul><li>Various data storage solutions like RDBMS and NoSQL databases.  </li><li>Important concepts like data marts, data lakes, ETL, and big data processing tools.  </li><li>Techniques for identifying valuable data sources, including collecting and importing data, and cleaning it for accurate analysis.  </li><li>Foundational knowledge of statistical analysis and data mining techniques. </li><li>How to create compelling data visualizations and dashboards to communicate your findings to both technical and non-technical audiences.  </li></ul><div>As you progress through the course, you will also gain insights into various data analyst career paths that will help you envision your roadmap to becoming a successful data analyst.  </div><div> </div><div>You will then apply your new knowledge in a final project that challenges you with a real-world scenario in data analysis so you can showcase your skills to prospective employers. </div><div> </div><div>Enroll today and kickstart your data analytics career... You have a lot to look forward to! <br />    </div><h1>Course Syllabus</h1><div><strong>Module 1: What is Data Analytics </strong></div><ul><li>Modern Data Ecosystem  </li><li>Key Players in the Data Ecosystem </li><li>Defining Data Analysis </li><li>What is Data Analytics?  </li><li>Data Analytics vs. Data Analysis </li></ul><div><strong>Module 2: The Data Analyst Role </strong></div><ul><li>Responsibilities of a Data Analyst  </li><li>Qualities and Skills to be a Data Analyst </li><li>A Day in the Life of a Data Analyst  </li><li>Applications of Data Analytics </li></ul><div><strong>Module 3: The Data Ecosystem and Languages for Data Professionals </strong></div><ul><li>Overview of Data Repositories </li><li>Types of Data   </li><li>Understanding Different Types of File Formats </li><li>Sources of Data </li><li>Languages for Data Professionals </li></ul><div><strong>Module 4: Understanding Data Repositories and Big Data Platforms </strong></div><ul><li>RDBMS </li><li>NoSQL </li><li>Data Marts, Data Lakes, ETL, and Data Pipelines </li><li>Foundations of Big Data </li><li>Big Data Processing Tools </li></ul><div><strong>Module 5: Gathering Data </strong></div><ul><li>Identifying Data for Analysis </li><li>Data Sources </li><li>How to Gather and Import Data  </li></ul><div><strong>Module 6: Wrangling Data </strong></div><ul><li>What is Data Wrangling? </li><li>Tools for Data Wrangling </li><li>Data Cleaning  </li><li>Data Preparation and Reliability </li></ul><div><strong>Module 7: Analyzing and Mining Data </strong></div><ul><li>Overview of Statistical Analysis </li><li>What is Data Mining? </li><li>Tools for Data Mining  </li></ul><div><strong>Module 8: Communicating Data Analysis Findings </strong></div><ul><li>Overview of Communicating and Sharing Data Analysis Findings </li><li>Introduction to Data Visualization </li><li>Introduction to Visualization and Dashboarding Software </li></ul><div><strong>Module 9: Opportunities and Learning Paths </strong></div><ul><li>Career Opportunities in Data Analysis </li><li>Get into Data Profession </li><li>The Many Paths to Data Analysis </li><li>Career Options for Data Professionals </li></ul><h1>Learning Objectives:</h1><ul><li>Explain what Data Analytics is and the key steps in the Data Analytics process. </li><li>Differentiate between data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst. </li><li>Describe the different types of data structures, file formats, and data sources. </li><li>Explain the use of different types of data repositories, the ETL process, and Big Data platforms. </li><li>List the different career opportunities in data analysis and the resources needed to become skilled in this domain.  </li><li>Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data. </li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>This is a beginner-friendly introduction to data analysis; therefore, no prior experience is necessary. However, basic knowledge of using a computer, navigating files and folders, and using basic software applications is recommended. To get the most out of this course, you need to have basic computer skills, foundational mathematics and statistics, and familiarity with spreadsheets.  </div>
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Data Analytics Basics for Everyone

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

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  <div>Hello, and welcome to this course!<br /><br /></div><div>In this course, you will develop a strong understanding of database fundamentals, including database security and data protection strategies and injection vulnerabilities.</div><div>You will begin with an introduction to data and databases and explore various types of data, their sources, and applications. Additionally, you will learn SQL basics and gain a comprehensive understanding of essential database roles and permissions, effective management techniques, and the importance of regular database backups. You will also explore database injection vulnerabilities, data types, and classifications, along with a range of methods for securing data. Finally, you will gain a clear understanding of database injection vulnerabilities, including OS command injection and SQL injection.<br /><br /></div><div>This course is part of the<a href="https://www.coursera.org/professional-certificates/ibm-cybersecurity-analyst"> IBM Cybersecurity Analyst Professional Certificate</a>, which is designed to equip learners with comprehensive skills and knowledge to secure the right career in the information security (Infosec) industry.</div><div>Prerequisites and Hardware Requirements</div><div>You will require basic computer and IT literacy. The course is suitable for professionals aspiring for a career in cybersecurity. It is also suitable for those working as IT professionals or aspiring network administrators seeking to advance their careers.</div><div>You can view videos and readings in the courses using any web-enabled device, including tablets and mobile phones. You will need a desktop or laptop computer, a modern web browser, such as Chrome, Firefox, Edge, or Safari, and a reliable internet connection to complete hands-on labs. You can complete labs and projects using virtual or cloud-based environments accessed using a web browser.<br /><br /></div><div>If you are new to cybersecurity, here are some courses that would be beneficial to take before starting this course:</div><div><strong>Course 1: </strong><a href="https://www.coursera.org/learn/introduction-to-cybersecurity-careers">Introduction to Cybersecurity Careers</a></div><div><strong>Course 2: </strong><a href="https://www.coursera.org/learn/introduction-to-cybersecurity-essentials">Introduction to Cybersecurity Essentials</a><br /><strong>Course 3: </strong><a href="https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks#modules">Introduction to Cybersecurity Tools &amp; Cyberattacks</a></div><div><strong>Course 4: </strong><a href="https://www.coursera.org/learn/operating-systems-overview-administration-security?">Operating Systems: Overview, Administration, and Security</a></div><div><strong>Course 5: </strong><a href="https://www.coursera.org/learn/network-security-database-vulnerabilities">Network Security &amp; Database Vulnerabilities</a><br /><br /></div><h1>Course Objectives</h1><div>After completing this course, you will be able to:</div><ul><li>Discuss job-ready data management skills employers need, including how to implement various data protection techniques to secure sensitive information</li><li>Describe how to configure and manage database user profiles, password policies, privileges, and roles</li><li>Analyze database injection vulnerabilities, including OS command and SQL injection</li><li>Practice how to design and implement comprehensive database and application auditing models</li></ul><div><strong>Course Outline</strong></div><div>This information-packed short course has three modules that should take approximately eight hours to complete. We encourage you to set aside time to complete all the modules. Consistency will help you achieve your learning goals!</div><div>To derive maximum benefit from this course, ensure to watch all the videos and go through the readings. Then, reinforce your learning by completing all the hands-on activities, such as the labs, the practice and graded quizzes, and the final project.<br /><br /></div><div>This course consists of four modules:<br /><br /></div><div><strong>Module 1: Database Fundamentals</strong></div><div>In this module, you will explore various data types, their sources, and their uses, gaining a solid understanding of both relational and non-relational databases. The module also covers core database fundamental and relational data concepts. Practical application is emphasized through hands-on labs, where you will work with relational data. Finally, a practice and graded quiz will help reinforce your understanding of these essential concepts.<br /><br /></div><div><strong>Module 2: SQL Basics and Database Management Fundamentals</strong></div><div>In this module, you will learn SQL basics and master essential SQL operations, including retrieving data using SELECT statements and WHERE clauses, employing expressions like COUNT, DISTINCT, and LIMIT, and modifying data with INSERT, UPDATE, and DELETE statements. Additionally, the module covers database structures, backup techniques, and managing database roles and permissions, enhancing your ability to maintain and optimize databases. The hands-on labs will emphasize practical application, where you will learn to write and execute various SQL commands and perform basic database operations. Finally, a practice and graded quiz will ensure you thoroughly understand these fundamental concepts.<br /><br /></div><div><strong>Module 3: Database Security and Data Protection Strategies</strong></div><div>In this module, you will gain the knowledge and skills to protect sensitive information, beginning with data types, classifications, and essential data protection practices to ensure integrity and confidentiality. You will also learn about database application security models and database auditing models. The module covers data security methods like encryption, hashing, masking, and access control, with hands-on labs to reinforce practical application. Finally, a practice and graded quiz will strengthen your grasp of these core concepts.<br /><br /></div><div><strong>Module 4: Injection Vulnerabilities</strong></div><div>In this final module, you will explore injection vulnerabilities, a crucial aspect of database security. You'll begin with an overview of injection flaws before diving into OS command injection, examining its techniques and security implications. The module also covers SQL injection and other injection vulnerabilities, expanding your understanding of potential threats. It concludes with resources to further enhance your knowledge and application of these concepts. You will also have access to a comprehensive glossary that defines key terms covered in this course.<br /><br /></div><div><strong>Tools/Software Used</strong></div><div>In this course, you will apply all the skills learned throughout the course in a concluding final project on Secure Online Retail Database System.</div><div>Congratulations on taking these steps to further your knowledge and career! Enjoy your journey.</div><h1><strong><br />What you'll learn</strong></h1><ul><li>Explore the essential data management skills that make you job-ready, with a focus on data protection techniques to effectively protect sensitive information.</li><li>Describe how to configure and manage database user profiles, set up password policies, and assign privileges and roles.</li><li>Analyze potential vulnerabilities in databases, including OS command and SQL injection, and learn how to protect against such security threats.</li><li>Develop robust database and application auditing models to ensure transparency and security in data management processes.</li></ul>
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Database Basics and Security

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  <div><em>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /></em><br /></div><div>In this capstone project, you'll use a Deep Learning library of your choice to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.<br /><br /></div><div>Finally, you will present a project report to demonstrate the validity of your model and your proficiency in the field of deep learning.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Chapter 1 - Loading Data</strong></div><div><strong>1.1 Loading Data - PyTorch</strong></div><ul><li>Video: Loading Data - PyTorch</li><li>Lab: Loading Data - PyTorch</li><li>Quiz: Loading Data - PyTorch</li></ul><div><strong>1.2 Loading Data - Keras</strong></div><ul><li>Video: Loading Data -Keras</li><li>Lab: Loading Data - Keras</li><li>Quiz: Loading Data - Keras</li></ul><div><strong>Chapter 2 - Data Preparation</strong></div><ul><li>Learning Objectives</li></ul><div><strong>2.1 Processing Data - PyTorch</strong></div><ul><li>Video: Image Preprocessing PyTorch</li><li>Lab: Processing Data - PyTorch</li><li>Quiz: Processing Data - PyTorch</li></ul><div><strong>2.2 Processing Data - Keras</strong></div><ul><li>Video: Processing Data - Keras</li><li>Lab: Processing Data - Keras</li><li>Quiz: Processing Data - Keras</li></ul><div><strong>Chapter 3 - Assessment Training Model</strong></div><ul><li>Learning Objectives</li></ul><div><strong>3.1 Training Models - PyTorch</strong></div><ul><li>Video: Pre-trained Models PyTorch</li><li>Lab: Training Model - PyTorch</li><li>Peer Review: Training Models - PyTorch</li></ul><div><strong>3.2 Training Models - Keras</strong></div><ul><li>Video: Pre-trained Models in Keras</li><li>Lab: Training Models - Keras</li><li>Peer Review: Training Models - Keras</li></ul><div><strong>Chapter 4 - Compare Two Models</strong></div><ul><li>Learning Objectives</li></ul><div><strong>4.1 Compare Two Models - PyTorch</strong></div><ul><li>Instruction: Compare Two Models - PyTorch</li><li>Lab: Compare Two Models - PyTorch</li><li>Quiz: Compare Two Models - PyTorch</li></ul><div><strong>4.2 Compare Two Models - Keras</strong></div><ul><li>Instruction: Compare Two Models - Keras</li><li>Lab: Compare Two Models - Keras</li><li>Quiz: Compare Two Models - Keras</li></ul><h1><strong>What you'll learn</strong></h1><ul><li>Determine what kind of Deep Learning method to use in which situation</li><li>Know how to build a Deep Learning model to solve a real problem</li><li>Master the process of creating a Deep Learning pipeline</li><li>Apply knowledge of Deep Learning to improve models using real data</li><li>Demonstrate ability to present and communicate outcomes of Deep Learning projects</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>Completed all courses in the Deep Learning Professional Certification Program</div>
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Applied Deep Learning Capstone Project

In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

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  <div>Course outline</div><div><strong>Module 1: Getting Ready for a Cybersecurity Career</strong></div><ul><li>Welcome to the Course</li><li>Cybersecurity as a Career</li><li>Creating a Professional Portfolio</li><li>Module 1 Glossary and Graded Quiz: Getting Ready for a Cybersecurity Career</li></ul><div><strong>Module 2: Identifying Jobs, Creating Resumes, and Drafting Cover Letters </strong></div><ul><li>Identifying Jobs</li><li>Drafting Resumes and Cover Letters</li><li>Module 2 Glossary and Graded Quiz: Identifying Jobs, Creating Resumes, and Drafting Cover Letters</li></ul><div><strong>Module 3: The Interview Process</strong></div><ul><li>Initial Interview Rounds</li><li>Final Interview</li><li>Module 3 Glossary and Graded Quiz: The Interview Process</li></ul><div><strong>Module 4: Understanding Interview Questions and Post-Interview Next Steps </strong></div><ul><li>Interview Questions</li><li>Post-Interview Next Steps</li><li>Module 4 Glossary and Graded Quiz: Understanding Interview Questions and Post-Interview Next Steps</li><li>Course Wrap-Up</li></ul>
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Ace Your Cybersecurity Job Search: Resume & Interview Tips

During the course, you’ll fine-tune your understanding of cybersecurity roles, career opportunities, and the skills you need on your resume. You’ll learn the best way to search for jobs, build your portfolio, and draft an elevator pitch. You’ll create your resume, draft a cover letter based on job requirements, and learn how to prepare for interviews. Plus, you’ll review potential interview questions and responses, and look at the post-interview actions you need to take to achieve success.

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  <div><strong>Module 1: Get Started with Generative AI in Cybersecurity<br /></strong><br /></div><ul><li>Video: Course Introduction</li><li>Reading: Prerequisites and Course Syllabus</li><li>Reading: Helpful Tips for Course Completion</li><li>Video: Transition from Conventional AI to Generative AI and its Benefits in Cybersecurity</li><li>Reading: Applications of Generative AI on Different Tasks of Cybersecurity</li><li>Video: The Future of Cybersecurity in the Era of Generative AI</li><li>Video: [Optional] Prompt Injection Attack</li><li>Video: Generative AI and LLM Risk</li><li>Hands-on Labs: Generative AI Foundation Models</li><li>Video: Security Risks Associated with Using Generative AI Tools</li><li>Hands-on Lab: Malicious Code Generation Using Generative AI</li><li>Video: Cybersecurity Analytics Using Generative AI</li><li>Reading: Application of Generative AI in Content Filtering and Monitoring</li><li>Hands-on Lab: Using Generative AI to Block/Remove Offensive Content</li><li>Reading: Threats on Generative AI Models</li><li>Video: Guarding against NLP-based Attacks on Generative AI</li><li>Video: Unleashing the Power of Generative AI for Cybersecurity</li><li>Reading: The Cost of a Data Breach (CoDB) and the Impact of AI</li><li>Demo: Using the Power of Generative AI in Data Security</li><li>Hands-on Lab: Applying Generative AI for Attack Pattern Analysis</li><li>Video: Overview of Incident Response and Forensic Analysis</li><li>Video: Using Generative AI for Cybersecurity Report Summarization and Playbooks</li><li>Hands-on Lab: Applying Generative AI for Attack Pattern Analysis</li><li>Video: Overview of Incident Response and Forensic Analysis</li><li>Video: Using Generative AI for Cybersecurity Report Summarization and Playbooks</li><li>Hands-on Lab: Cyber Incident Reports and Playbook using Generative AI</li><li>Practice Quiz: Introduction to Generative AI in Cybersecurity</li><li>Reading: Module Summary</li><li>Graded Quiz: Get Started with Generative AI in Cybersecurity</li></ul><div><strong>Module 2: SIEM and SOC Tasks Using Generative AI<br /></strong><br /></div><ul><li>Video: Triage Potential Incidents, Analyze Logs, and Assist Investigations.</li><li>Reading: Incident Response using Generative AI</li><li>Hands-on Lab: Incident Response and Alerts Generation Using Generative AI</li><li>Video: Enhancing Vulnerability Management with Generative AI</li><li>Video: Demo - Augmenting Threat Hunting and Security Analysis</li><li>Video: Demo - Streamlining Vulnerability Management</li><li>Video: Advanced Threat Detection Using Generative AI in SIEM</li><li>Video: Ways to Integrate Generative AI into SIEM</li><li>Reading: ChatGPT with QRadar/any SIEM tool</li><li>Reading: Optimizing Cybersecurity with Generative AI Integration in SIEM</li><li>Hands-on Lab: Training Generative AI with Incident Data for Better Pattern Recognition</li><li>Video: Decoding UBEA Using Generative AI</li><li>Reading: SOAR in Cybersecurity: Enhancing Security Operations with Generative AI</li><li>Reading: Securing the Future with Generative AI: Building Proactive and Cost-effective Cybersecurity Solutions</li><li>Video - Demo: Real-Time Assistance Using Generative AI</li><li>Hands-on Lab: Using Generative AI for Threat Intelligence</li><li>Video: Issues, Concerns, and Considerations Using Generative AI in Cybersecurity</li><li>Video: Ethical Concerns of AI in Cybersecurity</li><li>Reading: Generative AI and Cybersecurity: Balancing Benefits and Ethical Concerns</li><li>Practice Quiz: Integrating Generative AI Models with Security Systems</li><li>Reading: Module Summary</li><li>Graded Quiz: SIEM and SOC Tasks Using Generative AI</li></ul><div><strong>Module 3: Final Project and Exam<br /></strong><br /></div><ul><li>Reading - Review What You Have Learned</li><li>Glossary: Generative AI: Boost Your Cybersecurity Career</li><li>Reading: Final Project Overview</li><li>Final Project: Cybersecurity with Generative AI</li><li>Graded Assignment: Final Exam</li><li>Cheatsheet: Generative AI for Cybersecurity</li><li>Reading: Congratulations and Next Steps</li><li>Reading: Thanks from the Course Team</li></ul><div><br /><br /></div>
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Mastering Generative AI for Cybersecurity

During the course, you’ll explore undetected vulnerabilities by leveraging AI and machine learning. You’ll learn the foundational principles of gen AI and their practical applications in cybersecurity, including user and entity behavior analytics (UEBA), threat intelligence, report summarization, automated playbooks, countering phishing, malware, misinformation, and deepfakes. Plus, you’ll look at natural language processing attack techniques, such as prompt injection, and the strategies to counteract them.

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  <div>Maintaining and updating software is an important activity for a Technical Support role. There are many types of software, and understanding software can be overpowering. This course introduces the fundamentals of software and how to manage software from an information technology (IT) perspective. You'll be introduced to various types of software, ranging from the operating system running on your mobile phone to the applications that run databases on your computer at work. You'll also learn about cloud computing, web browsers, software development, programming languages, and database fundamentals.<br /><br /></div><div>After completing this course, you will better understand software processes and gain confidence in using and securing software applications. You will also review installing and managing web browsers, extensions, and plug-ins and keeping web browsers secure and updated.<br /><br /></div><div>Additionally, you'll discover how cloud-based technologies help businesses create and deploy applications faster. This course provides several real-world inspired hands-on labs and activities to demonstrate your skills in programming with Python and working with a database.<br /><br /></div>
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Software, Programming and Database Basics

This course covers the fundamentals of software and maintenance, from mobile OS to cloud computing and Python programming. Gain confidence and knowledge in using and securing software applications.

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  <div>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /><br /></div><div><br />In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.<br /><br /></div><div><br />You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.<br /><br /></div><div><br />This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.<br /><br /></div>
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AI for Everyone: Master the Basics

Learn the basics of AI and its applications, understand its impacts on society, and explore a potential career in AI with this course. Earn a skill badge upon completion.

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  <div>The global economy will need 25 million more project managers by 2030 (Project Management Institute). Demand for skilled practitioners is booming. If you’re just starting your project management journey, this course provides the ideal introduction to this in-demand field. It’s specifically designed for beginners, career starters, or career switchers, and no prior experience is required. <br /><br /></div><div>What do project managers do? Project managers plan, organize, and oversee projects to ensure they are completed on time, within budget, and meet the desired objectives. <br /><br /></div><div>In this course, you’ll explore the core principles of project management, its benefits, and the challenges faced by professionals in the field. You’ll discover how current trends, such as remote work, Agile practices, and artificial intelligence, are reshaping the way projects are managed today. Plus, you’ll learn about the diverse career paths available in project management, and look at roles across various industries, skill requirements, and experience levels.  <br /><br /></div><div>Throughout the course, you’ll access lectures, interviews with experienced project managers, readings, activities, and quizzes to build a solid appreciation of project management. And by the end, you’ll have gained valuable insights and practical knowledge from industry experts.  <br /><br /></div><div>If you’re looking for the perfect introduction to the exciting world of project management, ENROLL TODAY and get started on your path to your first project management role. <br /><br /><br />You will learn:</div><ul><li>Start your project management journey exploring the core principles of project management, its benefits, and the role it plays in projects.  </li><li>Discover who project managers work with, different project management methodologies, and recent trends in project management.  </li><li>Understand the typical responsibilities of a project manager and the skill sets needed to fulfill those responsibilities.  </li><li>Investigate different industries, paths, and possible career progressions available to project management professionals. </li></ul><div><br /><br /><br /></div><h1>Course Syllabus</h1><div><strong>Welcome  </strong></div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most Out of This Course </li><li>Reading: Introduction to PMP-CAPM Certification </li></ul><div><br /><strong>Module 1: What Is Project Management?  </strong></div><ul><li>Reading: Module 1 Introduction and Learning Objectives</li><li>Video: What Is Project Management? </li><li>Video: Expert Viewpoints: What Do Project Managers Do? </li><li>Video: Program, Project, Portfolio - What's the Difference? </li><li>Video: The Role Project Management Plays in Projects </li><li>Lab: Activity: Program, Project or Portfolio? </li><li>Video: Expert Viewpoints: What's a Project? </li><li>Video: Expert Viewpoints: Misconceptions about Project Management </li><li>Reading: Module 1 Summary: What is Project Management? </li><li>Practice Quiz: Module 1: What Is Project Management? </li><li>Graded Quiz: What Is Project Management?</li></ul><div><br /><strong>Module 2: Working as a Project Manager  </strong></div><ul><li>Reading: Reading: Module 2 Introduction and Learning Objectives </li><li>Video: Who Project Managers Work With </li><li>Reading: Working Across Teams, Functions, and Different Organization Structures </li><li>Video: Project Management Methodologies </li><li>Video: Expert Viewpoints: Project Management Methodologies </li><li>Video: Traditional vs Modern Project Management </li><li>Video: Recent Trends in Project Management </li><li>Activity: Project Management Modernization </li><li>Video: Expert Viewpoints: Trends in Project Management </li><li>Practice Quiz: Module 2: Working as a Project Manager </li><li>Reading: Module 2 Summary: Working as a Project Manager </li><li>Graded Quiz: Working as a Project Manager  </li></ul><div><br /><strong>Module 3: What Does Being a Project Manager Require?  </strong></div><ul><li>Reading: Module 3 Introduction and Learning Objectives </li><li>Video: Expert Viewpoints: Traits of a Project Manager </li><li>Video: Soft Skills for Project Management  </li><li>Video: Technical Skills for Project Management </li><li>Video: Expert Viewpoints: Necessary Project Management Skills  </li><li>Video: Interpersonal Skills and Leadership in Project Management  </li><li>Reading: Transferable Project Management Skills </li><li>Video: Project Manager Responsibilities </li><li>Video: A Day in the Life of a Project Manager </li><li>Video: Expert Viewpoints: A Day in the Life of a Project Manager </li><li>Activity: Typical Tasks and Their Frequencies </li><li>Practice Quiz: Module 3: What Does Being a Project Manager Require? </li><li>Reading: Module 3 Summary: What does being a project manager require? </li><li>Graded Quiz: What Does Being a Project Manager Require? </li></ul><div><br /><strong>Module 4: Careers in Project Management  </strong></div><ul><li>Reading: Module 4 Introduction and Learning Objectives</li><li>Video: Careers in Project Management: Overview </li><li>Video: Project Management Across Industries  </li><li>Video: Information Technology Project Management  </li><li>Video: Expert Viewpoints: Industry-Specific Skills </li><li>Video: Path to Becoming a Project Manager  </li><li>Video: Career Progression in Project Management </li><li>Video: Expert Viewpoints: Describe Your Career Path </li><li>Video: Expert Viewpoints: Job Hunting and Career Progression Tips </li><li>Practice Quiz: Module 4: Careers in Project Management </li><li>Reading: Module 4 Summary: Careers in Project Management </li><li>Graded Quiz: Careers in Project Management </li></ul><div><br /><strong>Module 5: Final Quiz and Final Project  </strong></div><ul><li>Reading: Module 5 Introduction and Learning Objectives </li><li>Practice Quiz: Project Management Fundamentals </li><li>Graded Quiz: Project Management Fundamentals</li><li>Retake Exam</li><li>Peer Review: Final Project: Project Management Job Postings </li><li>Reading: Key Takeaways from This Course </li><li>Reading: Key Project Management Resources </li><li>Reading: Congratulations and Next Steps </li><li>Reading: Copyrights and Trademarks </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Basic skills in communication, collaboration, problem-solving, and critical thinking. </div>
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Project Management Basics

Start your project management journey learning the core principles of project management and valuable insights from industry experts. Ideal for beginners. No prior experience required.

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  <div>With 25 million more project managers needed globally by 2030 (Project Management Institute), job vacancies for talented professionals are increasing every year. This Job Search, Resume, and Interview Prep for Project Managers course gives job-ready candidates the preparation needed to stand out to employers throughout the job hunt and recruitment process. <br /><br /></div><div>During this course, you’ll fine-tune your understanding of the project manager role, career opportunities, and skills a successful project manager needs on their resume. You’ll explore the best way to search for jobs, build your portfolio, and draft an elevator pitch. You’ll create your resume, draft a cover letter based on job requirements, and learn how to prepare for interviews. Plus, you’ll consider potential interview questions and responses, and discover the post-interview actions you need to take to position yourself for success.  <br /><br /></div><div>You’ll also learn about job recruitment best practices and get useful checklists that will help you find and land the right job. And you’ll gain insights from project management experts, who’ll provide tips and tricks on how to get hired. <br /><br /></div><div>If you have the project management skills employers are looking for and are ready to start applying for your next role, ENROLL TODAY and give yourself the best chance of getting your dream project management job! <br /><br /><a><strong>What You'll Learn</strong></a><strong><br /></strong><br /></div><div>Get interview-ready and craft an eye-catching resume that will stand out to employers in just 3 weeks.  <br /><br /></div><div>Fine-tune your understanding of the role and responsibilities of a project manager, career opportunities, and required skills to highlight on your resume.  <br /><br /></div><div>Create your resume, portfolio, and a cover letter tailored to job requirements.  <br /><br /></div><div>Prepare for various interview question types, including industry-specific, skills-based, and behavioral questions, to improve your interview performance.  <br /><br /></div><div>Understand the best practices for post-interview strategies, salary negotiation, and how to yourself for career growth. <br /><br /></div><div><strong><br /></strong><br /></div><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction  </li><li>Reading: General Information  </li><li>Reading: Learning Objectives and Syllabus  </li><li>Reading: Grading Scheme  </li><li>Reading: How to make the most out of this course  </li></ul><div><strong>Module 1: Building a Foundation</strong> </div><ul><li>Reading: Module 1 Introduction and Learning Objectives  </li><li>Video: Role of the Project Manager  </li><li>Reading: PMI Talent Triangle Skill Overview  </li><li>Video: Expert Viewpoints: Project Manager Roles and Skills   </li><li>Hands-on Lab: Perform Skills' Readiness Check  </li><li>Video: IBM Project Manager Professional Certificates  </li><li>Reading: Additional Program Recommendations  </li><li>Video: Project Management Career Opportunities  </li><li>Reading: Introduction to Project Management Certifications   </li><li>Video: Expert Viewpoints: Project Management as a Career   </li><li>Reading: The Purpose and Value of a Personal Portfolio   </li><li>Video: Illustrating a Personal Portfolio   </li><li>Video: Expert Viewpoints: Personal Portfolios   </li><li>Hands-on Lab: Develop a Personal Portfolio  </li><li>Video: Creating Profiles for Online Sites   </li><li>Video: Drafting the Elevator Pitch  </li><li>Video: Expert Viewpoints: Elevator Pitch  </li><li>Hands-on Lab: Develop an Elevator Pitch  </li><li>Summary: Module 1: Building a Foundation  </li><li>Practice Quiz: Module 1: Building a Foundation  </li><li>Glossary: Module 1 Building a Foundation  </li><li>Graded Quiz: Module 1 Building a Foundation  </li></ul><div><strong>Module 2: Identifying Jobs, Creating Resumes, and Drafting Cover Letters</strong> </div><ul><li>Reading: Module 2 Introduction and Learning Objectives  </li><li>Video: Conducting Company and Industry Research   </li><li>Reading: Finding Job Postings  </li><li>Hands-on Lab: Assess Job Postings  </li><li>Video: Expert Viewpoints: Conducting Research   </li><li>Reading: Networking Online and Offline  </li><li>Video: Working with a Third-Party Recruiter  </li><li>Video: Drafting a Resume  </li><li>Reading: Gathering Professional References  </li><li>Video: Expert Viewpoints: Developing a Project Management Resume   </li><li>Hands-on Lab: Draft a Basic Resume  </li><li>Video: Drafting a Cover Letter  </li><li>Hands-on Lab: Draft a Cover Letter  </li><li>Summary: Module 2: Identifying Jobs, Creating Resumes, and Drafting Cover Letters  </li><li>Practice Quiz: Module 2: Identifying Jobs, Creating Resumes, and Drafting Cover Letters  </li><li>Glossary: Module 2 Identifying Jobs, Creating Resumes, and Drafting Cover Letters  </li><li>Graded Quiz: Module 2 Identifying Jobs, Creating Resumes, and Drafting Cover Letters  </li></ul><div><strong>Module 3: The Interview Process</strong> </div><ul><li>Reading: Module 3 Introduction and Learning Objectives  </li><li>Reading: End-to-End Interview Process  </li><li>Video: Submitting Your Application   </li><li>Video: Preparing for the Interview  </li><li>Reading: Human Resources (HR) Screening  </li><li>Reading: First Stage Interview Process   </li><li>Video: Expert Viewpoints: The First Stage Interview   </li><li>Video: Project Manager Mock Interview: The First Round Interview  </li><li>Reading: Technical Screening   </li><li>Video: Project Manager Mock Interview: The Technical Interview  </li><li>Hands-on Lab: Develop Responses to Common Interview Questions  </li><li>Reading: Final Interview Checklist   </li><li>Video: Final Interview: Pre-Interview Steps   </li><li>Reading: The Remote or Virtual Interview  </li><li>Video: Expert Viewpoints: Interview Preparation   </li><li>Video: Attending an Interview   </li><li>Video: Answering Questions  </li><li>Video: Expert Viewpoints: Responding to Questions   </li><li>Reading: Closing the Interview  </li><li>Video: Project Manager Mock Interview: The Final Interview  </li><li>Hands-on Lab: Respond to Questions Using the STAR Technique   </li><li>Summary: Module 3: The Interview Process  </li><li>Practice Quiz: Module 3: The Interview Process  </li><li>Glossary: Module 3 The Interview Process  </li><li>Graded Quiz: Module 3 The Interview Process  </li></ul><div><strong>Module 4: Understanding Interview Questions and Post-Interview Next Steps </strong>  </div><ul><li>Reading: Module 4 Introduction and Learning Objectives  </li><li>Video: Core and Behavioral Interview Questions   </li><li>Reading: Case Study Questions   </li><li>Video: Expert Viewpoints: Interview Questions   </li><li>Hands-on Lab: Critique Mock Interview Responses  </li><li>Reading: Other Interview Methods  </li><li>Video: Trick Questions and Illegal Questions   </li><li>Video: Expert Viewpoints: Difficult Questions  </li><li>Reading: Post-Interview Checklist  </li><li>Reading: If You Get an Offer  </li><li>Video: Salary Negotiation   </li><li>Reading: If You Don’t Get an Offer  </li><li>Video: Expert Viewpoints: Job Offers   </li><li>Reading: Final Course Checklist   </li><li>Summary: Module 4: Understanding Interview Questions and Post-Interview Next Steps   </li><li>Practice Quiz: Module 4: Understanding Interview Questions and Post-Interview Next Steps   </li><li>Glossary: Module 4 Understanding Interview Questions and Post-Interview Next Steps  </li><li>Graded Quiz:<strong> </strong>Module 4 Understanding Interview Questions and Post-Interview Next Steps   </li></ul><div><strong>Module 5: Final Project, Final Quiz, and Course Wrap-Up</strong> </div><ul><li>Reading: Module 5 introduction and learning objectives  </li><li>Final Project: Apply for a Project Management Position  </li><li>Graded Quiz: Final Quiz  </li><li>Retake Exam  </li></ul><div><strong>Module 6: Course Wrap-Up</strong> </div><ul><li>Course Summary  </li><li>Congratulations and Next Steps  </li><li>Thanks from the Course Team  </li><li>Copyrights and Trademarks  </li></ul><div><strong><br />Module 7: Course Rating &amp; Feedback</strong>  <br /><br /></div><ul><li>Reading: Feedback  </li></ul><div><strong>Module 8: Badge</strong>  </div><ul><li>Reading: How to claim your certificate  </li><li>Reading: Claim your badge here </li></ul><div><br /></div><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div><br />This course is most suited for budding professionals who are eager to dive into the world of project management. While prior project management knowledge is not required, a basic understanding of its principles will certainly enhance your experience and learning. best suited for budding professionals who are eager to learn project management. While prior <br /><br /></div><div><br />To get the most out of this course, it is essential to have access to a computer with a reliable internet connection. <br /><br /></div>
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Job Search, Resume, and Interview Prep for Project Managers

  Give yourself the best chance of getting your dream project management job with an eye-catching resume and stand-out interview skills. Plus, get tips and tricks from industry experts on how to get hired.  

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  <div>With 25 million more project professionals being needed globally by 2030 (Project Management Institute), the demand for talented individuals with good underpinning IT knowledge is exploding. This Information Technology (IT) Fundamentals course is designed specifically for non-technical professionals who want to collaborate effectively with IT teams and make informed decisions. <br /><br /></div><div>In this course, you'll learn the essentials of hardware, operating systems, and the foundational concepts of software, programming, and databases. You’ll explore how different types of hardware function, from printers to display devices, and how operating systems manage files and folders. Plus, you’ll discover the basics of software applications, web browsers, programming languages, and how databases store and manipulate data.  <br /><br /></div><div>You'll also gain an understanding of networking, including network topologies, cables, and how to manage network settings. You’ll learn about storage solutions, from local devices to hosted systems. Plus, you’ll be introduced to cybersecurity fundamentals, covering key concepts like data integrity, threat management, and safe browsing practices.  <br /><br /></div><div>As you learn, you’ll work on hands-on labs that enable you to apply your new skills in a practical setting. And you’ll test your knowledge with a comprehensive assessment and gain insights into troubleshooting and ticketing systems for IT support. <br /><br /></div><div>If you’re a project-oriented professional looking to build a strong, non-technical understanding of IT for your job, ENROLL TODAY and build the job-ready IT skills you need in just 6 weeks.<br /><br /><strong>You will learn:</strong> </div><div> </div><ul><li>Job-ready IT skills non-technical project professionals need in just 6 weeks, supported by practical experience employers look for on a resume and an industry-recognized credential.  </li><li>The essentials of operating systems, computer components, programming concepts, databases, and the difference between commercial and open software.  </li><li>The importance of computer networks, including wired and wireless connections; explore network resources and storage types in MS Windows.   </li><li>How to protect against security threats, address public browsing security concerns, and list password management best practices.   </li><li>The benefits of cloud computing and an understanding of the cloud infrastructure layer, virtual machines, and the features of ticketing systems. </li></ul><div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 0 : Welcome</strong> </div><div> </div><ul><li>Video: Course Introduction </li><li>Reading: General Information </li><li>Reading: Learning Objectives and Syllabus </li><li>Reading: Grading Scheme </li><li>Reading: How to Make the Most of this Course </li></ul><div> <br /><strong>Module 1: Introduction to Hardware and Operating Systems</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Computing Fundamentals  </li><li>Video: Common Computing Devices and Platforms </li><li>Video: Identifying Hardware Components and Peripherals  </li><li>Reading: Input, Output, and Display Devices </li><li>Video: Internal Computer Component </li><li>Reading: Additional Internal Computer Components </li><li>Video: Identifying Ports and Connectors </li><li>Activity: Identifying Devices and Connectors </li><li>Reading: Lesson Summary: Introduction to Computing Fundamentals and Hardware </li><li>Video: An introduction to Operating System </li><li>Video: Getting Started with Microsoft Window </li><li>Video: Features and Functions of an Operating System </li><li>Video: Managing File and Folders </li><li>Video: Using Your Windows Lab Workspace </li><li>Lab: Using File Explorer to Manage Files and Folders </li><li>Reading: Lesson Summary: Operating Systems </li><li>Practice Quiz: Module 1: Introduction to Hardware and Operating Systems </li><li>Reading: Glossary: Introduction to Hardware and Operating Systems </li><li>Graded Quiz: Module 1: Introduction to Hardware and Operating Systems </li></ul><div> </div><div><strong>Module 2: Introduction to Software, Programming, and Databases</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Commercial and Open Source Software </li><li>Reading: Software Licenses </li><li>Video: Software Versions </li><li>Reading: File Formats and Productivity and Collaboration Software </li><li>Video: Software Installation Management </li><li>Video: Common Web Browser </li><li>Video: Browser Installs and Updates </li><li>Lab: Install, Update, and Remove Applications </li><li>Reading: Lesson Summary: Software Applications and Web Browsers </li><li>Video: Interpreted and Compiled Programming Languages </li><li>Reading: Scripting Languages </li><li>Video: Introduction to Programming Concepts </li><li>Video: Branching and Looping Programming Logic </li><li>Activity: Working with Programming Logic and Organizational Methods </li><li>Reading: Lesson Summary: Basics of Programming Languages  </li><li>Video: Types of Data, Sources, and Uses </li><li>Video: Overview of Data Repositories </li><li>Video: Introduction to SQL and Relational Databases </li><li>Video: Database Management </li><li>Reading: Database Roles and Permissions and Backing Up Databases </li><li>Lab: Basic Database Operations </li><li>Reading: Lesson Summary: Database Fundamentals </li><li>Practice Quiz: Module 2: Introduction to Software, Programming, and Databases </li><li>Reading: Glossary: Introduction to Software, Programming, and Databases </li><li>Graded Quiz: Module 2: Introduction to Software, Programming, and Databases </li></ul><div> </div><div><strong>Module 3: Introduction to Networking and Storage</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Computer Networks: Types and Topologies </li><li>Reading: Computer Networks: Cables </li><li>Video: Advantages and Disadvantages of Network Types </li><li>Reading: Computer Networks: Models, Standards, Protocols, and Ports </li><li>Video: Networking Hardware Devices </li><li>Video: Wired and Wireless Network Connections </li><li>Video: (Optional): Wired and Wireless SOHO Networks </li><li>Video: Network Settings in Windows </li><li>Lab: Exploring Windows Network Settings </li><li>Reading: Lesson Summary: Computer Networks </li><li>Video: Types of Local Storage Devices </li><li>Video: Types of Hosted Storage and Sharing </li><li>Video: Network Storage Types </li><li>Video: Troubleshooting Storage Issues </li><li>Lab: Disk Status and Repair Tools - Rhyme </li><li>Reading: Lesson Summary: Storage and Sharing </li><li>Practice Quiz: Module 3: Introduction to Networking and Storage </li><li>Reading: Glossary: Introduction to Networking and Storage </li><li>Graded Quiz: Module 3: Introduction to Networking and Storage </li></ul><div> </div><div><strong>Module 4: Introduction to Cybersecurity Essentials</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Confidentiality, Integrity, and Availability </li><li>Reading: Intellectual Property and Types of Confidential Information </li><li>Video: Threats and Breaches </li><li>Video: Phishing, Social Engineering, and Other Attacks </li><li>Video: Password Management Techniques  </li><li>Video: Security Threats: Access Control, Authorization, and Authentication </li><li>Video: Authentication and SSO </li><li>Reading: Firewalls </li><li>Activity: Identifying Phishing Attempts </li><li>Reading: Lesson Summary: Common Security Threats and Security Best Practices </li><li>Video: Safe Browsing Practices: Application Ecosystem Security </li><li>Video: Safe Browsing Practices: Public Browsing Risks </li><li>Video: Safe Browsing Practices: Plug-ins, Extensions, and Toolbars </li><li>Activity: Managing Browser Plug-ins and Extensions </li><li>Video: Security Threats: Safe Browsing Techniques </li><li>Lab: Managing Browser Security and Privacy Settings </li><li>Video: Virtual Private Networks </li><li>Reading: Lesson Summary: Safe Browsing Practices </li><li>Practice Quiz: Module 4: Introduction to Cybersecurity Essentials </li><li>Reading: Glossary: Introduction to Cybersecurity Essentials </li><li>Graded Quiz: Module 4: Introduction to Cybersecurity Essentials </li></ul><div> </div><div><strong>Module 5: Introduction to Cloud Computing</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Definition and Essential Characteristics of Cloud Computing </li><li>Reading: Cloud Adoption: No Longer a Choice </li><li>Video: Key Cloud Service Providers and Their Services </li><li>Video: Overview of Cloud Service Models </li><li>Video: Overview of Cloud Infrastructure </li><li>Video: Virtualization and Virtual Machines Explained </li><li>Reading: Types of Virtual Machines on Cloud </li><li>Video: Basics of Storage on Cloud </li><li>Activity: Identifying Storage Types </li><li>Reading: Lesson Summary: Introduction to Cloud Computing and Cloud Infrastructure </li><li>Video: Hybrid Multi-Cloud </li><li>Video: Containers </li><li>Video: Microservices </li><li>Video: Serverless Computing </li><li>Video: Cloud Native Applications </li><li>Video: DevOps on the Cloud </li><li>Reading: IoT, AI, Blockchain, and Analytics in the Cloud </li><li>Lab: Getting Started with Serverless </li><li>Reading: Lesson Summary: Emergent Trends and Practices in Cloud Computing </li><li>Practice Quiz: Module 5: Introduction to Cloud Computing </li><li>Lab: Glossary 5: Introduction to Cloud Computing </li><li>Graded Quiz: Module 5: Introduction to Cloud Computing </li></ul><div> </div><div><strong>Module 6: Final Assessment </strong> </div><ul><li>Reading: Module 6 Introduction and Learning Objectives </li><li>Final Exam: IT Fundamentals for Everyone </li></ul><div><strong>Module 7: (Bonus Lesson) Troubleshooting and Ticketing Systems</strong> </div><ul><li>Reading: Module Introduction and Learning Objectives </li><li>Video: Introduction to Troubleshooting </li><li>Video: Levels of Technical Support </li><li>Video: Service-Level Agreements (SLAs)  </li><li>Video: What are Ticketing Systems? </li><li>Video: Features and Benefits of Ticketing Systems </li><li>Activity: Exploring the Lifecycle of a Ticket </li><li>Reading: Module Summary: Troubleshooting and Ticketing Systems </li><li>Reading: Glossary 6: IT Support and Operations </li><li>Practice Quiz: Troubleshooting and Ticketing Systems </li></ul><div><strong>Module 8: Course Wrap-up</strong> </div><ul><li>Reading: Congratulations and Next Steps </li><li>Reading: Course Team and Acknowledgements </li><li>Reading: Copyrights and Trademarks </li><li>Course Rating and Feedback </li><li>Course Rating and Feedback </li><li>Badge </li><li>Frequently Asked Questions (FAQ) </li><li>Reading: Claim your badge here </li></ul><div><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>You should have a basic knowledge of information technology. No IT background is necessary. Some familiarity with ticketing systems may be useful. </div>
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Information Technology (IT) Fundamentals for Everyone

  Build the job-ready IT and non-technical IT skills in just six weeks. Plus, gain practical experience you can discuss in the interviews. No prior IT experience is required.    

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  <div><strong>Course Prerequisites</strong></div><div>You should be familiar with concepts and terminology associated with networks, cloud computing, and their security.<br /><strong>Course Syllabus</strong></div><div>Module 1: Cybersecurity Architecture Overview</div><ul><li>Lesson 0: Welcome</li><li>Lesson 1: Getting Started with Cybersecurity Architecture</li></ul><div>Module 2: Access Management and Endpoint Security</div><ul><li>Lesson 1: Identity and Access Management</li></ul><div>Module 3: Network, Application, and Data Security</div><ul><li>Lesson 1: Security Domains</li></ul><div>Module 4: Detection and Response</div><ul><li>Lesson 1: Detecting Cyberattacks and Creating a Response</li></ul><div>Module 5: Final Project, Exam, and Course Wrap-up</div><ul><li>Lesson 1: Final Project</li><li>Lesson 2: Case Study</li><li>Lesson 3: Glossary and Final Exam</li><li>Lesson 4: Course Wrap-Up</li></ul>
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Cyber Defense Architecture

Enhance your cybersecurity acumen with this intermediate course designed to fortify your understanding of network and data security. Delve into secure digital network architecture, applying robust application security measures to safeguard critical information. Gain essential skills for deploying and managing advanced security frameworks, ensuring comprehensive defense across all digital platforms. Perfect for professionals aiming to elevate their knowledge in cybersecurity and network security strategies.

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  <div>After successfully completing this course, you will be able to embrace the Agile concepts of adaptive planning, iterative development, and continuous improvement - resulting in early deliveries and value to customers. This course will benefit anyone who wants to get started with working the Agile way. It is particularly suitable for IT practitioners such as software developers, development managers, project managers, product managers, and executives.<br /><br /></div><div><br />You will learn to apply Agile practices derived from lean manufacturing concepts, like test-driven development. Learn how a scrum team functions. Learn how to write good user stories and track your team’s progress using a kanban board. Create and refine a product backlog collaboratively with the team and the customer, in a flexible and blameless culture. This approach will lead you to higher levels of efficiency, with the ability to plan and execute sprints with your development team, measuring success with actionable metrics.<br /><br /></div><div><br />This course is about more than facts and processes. It is about working collaboratively on a self-organizing team, coached by a scrum master, and building what is needed, rather than simply following a plan. Developed and taught by an experienced Agile practitioner, the course includes hands-on practice through realistic scenario-based labs using GitHub and ZenHub.<br /><br /></div>
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Agile and Scrum Fundamentals

This course will benefit anyone who wants to get started with working the Agile way. It is particularly suitable for IT practitioners such as software developers, development managers, project managers, product managers, and executives

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  <div>Employing monitoring and observability solutions are crucial skills for Software Developers and DevOps professionals to ensure continuous uptime and delivery for their applications. Monitoring is the practice of watching and understanding the state of systems using metrics and logs. <strong>Observability</strong> is a modern development practice that allows software developers to actively troubleshoot applications faster than ever. Observability and Monitoring work together, with observability detecting and investigating problems, and monitoring capturing the metrics and alerting you when an issue occurs.<br /><br /></div><div><br />This course provides a comprehensive overview of monitoring and observability, including why it’s essential for application development, popular tools for application monitoring, troubleshooting and logging, and leveraging insights to make the application more reliable. You’ll learn the fundamentals of monitoring, Golden signals, the difference between monitoring and evaluation, and terminology. You’ll also work with monitoring and alerting tools like <strong>Prometheus</strong> and <strong>Grafana</strong> and data visualization tools like <strong>Kibana</strong> and <strong>Splunk</strong>. You’ll understand the 3 Pillars of Observability and work with <strong>OpenTelemetry</strong> and implement logging with <strong>Mezmo</strong>.<br /><br /></div><div><br />This course includes multiple hands-on labs throughout the course for you to demonstrate your monitoring and observability skills and interact with popular tools used by professionals. In the final project, you’ll apply monitoring and observability skills to a real-world application scenario and demonstrate your working knowledge and gain the confidence to perform these tasks as if in a job setting.<br /><br /></div>
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Monitoring and Observability for Application Developers

Monitoring & Observability are must have skills for Developers and DevOps professionals. This course provides a comprehensive overview of these concepts and teaches you the hands-on skills to employ monitoring, observability, and logging for your application.

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  <div>The demand for software engineers doubled according to the “State of Software Engineers” report by the tech specialist Hired. Nearly every industry uses software to accelerate its growth, providing a vast number of opportunities. With the importance of software engineers and the technical skillset required, it isn’t surprising that according to Indeed.com, “The good starting software engineer salary in the US is considered to be $113,211 per year. Competitive starting salaries will vary depending on location and cost of living.”<br /><br /></div><div>This course is suitable for anyone wanting to start in a software development related role, including those aspiring to be Software Engineers, IT Product and Project Managers, Scrum Masters, Information Developers, UI/UX Designers, QA Engineers, as well as Sales Executives, and Marketing Managers in the Tech industry. No prior programming experience or degree is required.<br /><br /></div><div>This course teaches you about the power of the Software Development Lifecycle (SDLC) and software development methodologies such as Agile. You will explore fundamental programming principles and foundations of design, architecture, and deployment, investigate skills that a software engineer needs and identify job opportunities with hands-on projects. You will also learn about programming basics and software development tools and stacks.<br /><br /></div><div>Throughout this course, you’ll hear first-hand experiences from expert software engineers to geta feel for the job and their perspectives. After completing this introductory course, you will be familiar with the software engineering tools, technologies, terminology, processes, and practices. <br /><br /></div><h1><strong>Course Syllabus</strong></h1><div><strong>Module 1: SDLC – The Software Development Lifecycle</strong></div><ul><li>What is Software Engineering?</li><li>Insiders’ Viewpoint: What is software engineering?</li><li>Introduction to the SDLC</li><li>Activity: Phases in the SDLC</li><li>Building Quality Software</li><li>Requirements</li><li>Software Development Methodologies</li><li>Software Versions</li><li>Software Testing</li><li>Software Documentation</li><li>Roles in Software Engineering Projects</li><li>Insiders’ Viewpoint: Job Roles in Software Engineering Teams</li></ul><div><strong>Module 2: Introduction to Software Development</strong></div><ul><li>Overview of the Web and Cloud Development</li><li>Learning Front-End Development</li><li>The Importance of Back-End Development</li><li>Teamwork and Squads</li><li>Insiders’ Viewpoint: Teamwork in Software Engineering</li><li>Pair Programming</li><li>Insiders’ Viewpoint: Pair Programming</li><li>Activity: Categorizing Front-end and Back-end Technologies</li><li>Introducing Application Development Tools</li><li>More Application Development Tools</li><li>Introduction to Software Stacks</li><li>Hands-on Lab: Getting Started With an IDE</li><li>Insiders’ Viewpoint: Tools and Technologies</li></ul><div><strong>Module 3: Basics of Programming</strong></div><ul><li>Interpreted and Compiled Programming Languages</li><li>Comparing Compiled and Interpreted Programming Languages</li><li>Query and Assembly Programming Languages</li><li>Understanding Code Organization Methods</li><li>Insiders’ Viewpoint: Types of languages</li><li>Activity: Programming Logic and Organizational Methods</li><li>Branching and Looping Programming Logic</li><li>Introduction to Programming Concepts Part 1, Part 2</li><li>Hands-on Lab: Programming Fundamentals with Python</li></ul><div><strong>Module 4: Software Architecture, Design, and Patterns</strong></div><ul><li>Introduction to Software Architecture</li><li>Software Design and Modeling</li><li>Object-Oriented Analysis and Design</li><li>Insiders’ Viewpoint: Importance of Design and Software Architecture</li><li>Activity: Create an Architectural Diagram</li><li>Approaches to Application Architecture</li><li>Architectural Patterns in Software</li><li>Application Deployment Environments</li><li>Production Deployment Components</li><li>Insiders’ Viewpoint: Deployment Architecture</li></ul><div><strong>Module 5: Job Opportunities and Skillsets in Software Engineering</strong></div><ul><li>What Does a Software Engineer Do?</li><li>A Day in the Life of a Software Engineer</li><li>Skills Required for Software Engineering</li><li>Insiders’ Viewpoint: Advice to Future Software Engineers</li><li>Insiders’ Viewpoint: Women in Software Engineering</li><li>Job Outlook for Software Engineers</li><li>Career Paths in Software Engineering</li><li>Software Engineering Job Titles</li><li>Insiders’ Viewpoint: Career Paths</li><li>Activity: Matching Roles with Responsibilities</li><li>Software Engineering Code of Ethics</li></ul><div><strong>Module 6: Final Quiz</strong></div>
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Software Engineering Basics for Everyone

This course teaches you the power of software engineering, introducing programming basics and tools. Hear from experts and explore job opportunities, with hands-on projects. Learn the SDLC and key methodologies. No prior experience required.

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  <div>According to a recent IBM report, cyberattacks have surged 71%! This alarming statistic highlights a huge demand for cybersecurity professionals. This IBM course will introduce you to fundamental cybersecurity concepts, threats, and preventive measures to start your cybersecurity journey. <br /><br />In this course, you’ll explore the evolution of cybersecurity and discover the critical thinking model. You’ll also cover threat actors, malware, ransomware, and defenses against social engineering. <br /><br />Additionally, you’ll learn about internet security threats and security controls. You’ll explore the fundamentals of identity and access management (IAM), authentication, and access control. You’ll also look at the physical threats organizations encounter and consider effective security measures. <br /><br />Throughout, you’ll build practical knowledge through hands-on labs and gain technical expertise through insights from industry experts. Your final project will enable you to effectively demonstrate your understanding of cybersecurity principles. <br /><br />This course is for anyone who wants a basic understanding of cybersecurity and is part of a series designed to help you start a career as a Cybersecurity Analyst.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Cybersecurity Insights</strong></div><ul><li>Welcome to the Course</li><li>History of Cybersecurity</li><li>Critical Thinking</li><li>Module Summary and Assessment</li></ul><div><strong>Module 2: Cybersecurity Threats</strong></div><ul><li>Types of Actors and Their Motives</li><li>Malware and Ransomware</li><li>Social Engineering</li><li>Module Summary and Assessment</li></ul><div><strong>Module 3: Cybersecurity Controls</strong></div><ul><li>Internet Attacks</li><li>Cybersecurity Controls</li><li>Module Summary and Assessment</li></ul><div><strong>Module 4: Identity and Physical Controls</strong></div><ul><li>Authentication and Access Control</li><li>Physical Threats and Controls</li><li>Module Summary and Assessment</li></ul><div><strong>Module 5: Final Project - Secure Access</strong></div><ul><li>Final Project</li><li>Course Wrap-Up</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>As a prerequisite, it is recommended that you have basic knowledge of IT fundamentals.<br /><br /></div><h1>Course objectives</h1><ul><li>How to apply key cybersecurity concepts, tools, and methodologies to protect digital and physical assets</li><li>How to recognize various types of threat actors and malware and explore preventive measures</li><li> To identify various internet security threats and common cybersecurity best practices</li><li>To understand authentication and identity management concepts for safeguarding your organization</li></ul>
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Introduction to Cybersecurity Tools & Cyberattacks

You’ll build practical knowledge through hands-on labs and gain technical expertise through insights from industry experts. Your final project will enable you to effectively demonstrate your understanding of cybersecurity principles. 

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  <h1>Explore the World of GPT-like Models for Text Generation</h1><div>In today's digital era, the ability to generate coherent and meaningful text using AI technologies is transformative. This guided project opens the gateway to understanding and building GPT-like models, which are pivotal in natural language processing (NLP) tasks. These models have revolutionized how machines understand and generate human language, making them an essential skill for anyone looking to delve into deep learning and NLP. By engaging with this project, you will not only demystify the complexities of these models but also gain hands-on experience that empowers you to transform raw data into impactful textual outputs. Whether you aim to enhance chatbots, automate content creation, or explore creative writing with AI, this project equips you with the foundational skills to innovate and excel in any NLP endeavor.<br /><br /></div><h1>Learning outcomes</h1><div>By completing this project, you will be able to:</div><ul><li>Understand the architecture and mechanisms behind GPT-like models, including attention mechanisms.</li><li>Set up a suitable environment for model training and deployment, leveraging pre-installed tools to streamline the process.</li><li>Tokenize and preprocess text data effectively, preparing it for use in deep learning models.</li><li>Train a GPT-like model to generate coherent and contextually relevant text, improving your proficiency in machine learning and NLP applications.</li></ul><div><br /></div><h1>Prerequisites</h1><div>Before starting this guided project, you should have:</div><ul><li>A basic understanding of Python programming.</li><li>Familiarity with fundamental machine learning and NLP concepts.</li><li>Access to a system with the IBM Skills Network Labs environment, which comes pre-installed with essential tools like Docker.</li><li>A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for optimal platform performance.</li></ul><div><br /></div><h1>Who this project is for</h1><div>This project is designed for:</div><ul><li>Individuals looking to deepen their understanding of NLP and AI-driven text generation.</li><li>Developers and data scientists who wish to enhance their skills in building and deploying GPT-like models.</li><li>Content creators and technologists interested in leveraging AI for innovative content solutions.</li><li>Learners with a foundational knowledge of machine learning and programming who are eager to explore advanced NLP applications.</li></ul><div>Unlock the potential of AI in text generation and pave the way for innovation and creativity in your professional endeavors. Take the next step in mastering NLP tools and transform your understanding into actionable skills that can redefine your approach to AI-driven solutions.<br /><br /></div>
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Building Your Own GPT-Like Model

Build and train a GPT-like model for text generation and natural language processing tasks. In this tutorial, you'll set up your environment, tokenize data, and construct a model that employs attention mechanisms for text generation. You will gain hands-on experience in training the model with data, enabling it to generate coherent and meaningful text. This project is ideal for individuals seeking to delve into deep learning and enhance their understanding of NLP. 

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  <div>In this guided project, you'll delve into the integration of IBM Geospatial APIs with LangChain to develop a sophisticated bot capable of delivering dynamic environmental and geospatial insights. This project is not just about building a bot; it’s about empowering yourself with the ability to synthesize complex datasets into actionable intelligence. By harnessing vegetation health indices, weather metrics, sea level data, and Co2 emissions analysis, you'll gain a comprehensive understanding of environmental conditions. This knowledge is particularly crucial for professionals in agriculture and urban planning, where data-driven decision-making is essential to address environmental challenges effectively. In just 45 minutes, you will master the integration and functionality of this innovative bot, equipping you with cutting-edge tools to enhance your professional skill set.<br /><br /></div><h1><strong>What you'll learn</strong></h1><div><br /></div><div>After completing this project, you will be able to:<br /><br /></div><ul><li><strong>Integrate multiple data sources:</strong> Seamlessly combine various geospatial datasets to provide comprehensive environmental insights.</li><li><strong>Analyze and interpret environmental data:</strong> Gain the skills to analyze vegetation indices, weather metrics, sea level data, and Co2 emissions.</li><li><strong>Develop a functional bot:</strong> Create a bot that delivers real-time, actionable insights on environmental and geospatial conditions.</li><li><strong>Facilitate data-driven decision making:</strong> Use the bot to make informed decisions in fields such as agriculture and urban planning.</li></ul><div><br /></div><h1><strong>Who should enroll</strong></h1><div><br /></div><div>This project is perfect for:<br /><br /></div><ul><li><strong>Data scientists:</strong> Interested in integrating geospatial data into real-world applications.</li><li><strong>Tech enthusiasts &amp; developers:</strong> Eager to explore the integration of IBM Geospatial APIs and LangChain to build advanced bots for environmental analysis.</li></ul><div><br /></div><h1><strong>What you'll need</strong></h1><div><br /></div><div>Before beginning this guided project, you should have:<br /><br /></div><ul><li>Basic knowledge of Python programming.</li><li>Familiarity with web APIs and JSON data formats.</li><li>Access to a modern web browser like Chrome, Edge, Firefox, Internet Explorer, or Safari, as the IBM Skills Network Labs environment supports these for an optimal experience.</li></ul><div><br /></div><h1><strong>Why enroll</strong></h1><div><br /></div><div>By the end of this project, you’ll have created a fully functional bot that delivers geospatial and environmental insights in real-time. Whether you're working in agriculture, urban planning, or environmental science, this project will equip you with the skills and knowledge to integrate geospatial data and make data-driven decisions that contribute to solving global challenges. With the power of IBM Geospatial APIs and LangChain, you will enhance your professional skill set and be better prepared for the future of data-driven decision-making.</div>
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Build an AI-Powered Agent for Geospatial Insights

Unlock smarter environmental insights with AI and LangChain to tackle real-world challenges such as assessing coastal property risks or understanding how rising sea levels affect urban planning. In this hands-on guide, you'll learn how to leverage weather trends, Co2 emissions, and vegetation data to drive better decisions. Using IBM Geospatial APIs, you'll gain the tools to analyze critical datasets and turn environmental data into actionable insights in just 45 minutes.

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  <div>Discover how to identify and prevent data leakage while building machine learning models to predict student success. This project focuses on understanding and addressing data leakage, a critical challenge in machine learning that can compromise model validity. Additionally, the project emphasizes the importance of data preprocessing, feature engineering, and visualization to develop actionable models. Use Python, scikit-learn, and pandas to build decision trees and random forests that aid decision-making with data-driven insights. <br /><br /></div><h1><strong>Why this topic is important</strong></h1><div><br /></div><div>Predicting whether students drop out or graduate has significant real-world implications, enabling early interventions and better educational outcomes. By completing this project, you’ll learn how to identify data leakage, a common but often overlooked issue in machine learning workflows, and explore how preprocessing and modelling can support decision-making. This project builds your technical skills while demonstrating the importance of data handling in solving real-world challenges.  <br /><br /></div><h1><strong>A look at the project ahead </strong></h1><div><br /></div><div>In this project, you’ll focus on detecting and addressing data leakage while using Python, scikit-learn, and pandas to analyze student data and predict outcomes. Learn practical techniques to build decision trees and random forests while ensuring your models remain realistic and reliable.<br /><br /></div><div>By the end of the project, you will:  <br /><br /></div><ol><li><strong>Understand how to preprocess real-world datasets</strong> by identifying critical features prone to leakage and mapping data to ensure ethical and practical use.</li><li><strong>Build and evaluate machine learning models</strong> like decision trees and random forests, with a focus on preventing data leakage and interpreting results using metrics such as accuracy, recall, and confusion matrices.</li><li><strong>Recognize the signs of data leakage</strong> and implement techniques to mitigate its impact, ensuring model validity.</li></ol><div>  </div><h1><strong>What you’ll need</strong></h1><div><br /></div><div>To successfully complete this project, ensure you have:<br /><br /></div><ul><li>A basic understanding of Python programming and familiarity with libraries such as Pandas and scikit-learn.</li><li>A web browser for accessing tools and running code.</li></ul><div><br /></div>
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Identify Data Leakage in Machine Learning Models

Discover how to identify data leakage while implementing machine learning classifiers with real-world data. This project covers feature engineering and visualizing tree-based models to predict student dropout. Learn to build decision trees and random forests using Python, scikit-learn, and pandas, empowering you to make informed decisions. Designed for data science enthusiasts and professionals, this hands-on project sharpens your skills in handling classification challenges with real-world datasets. In just under 45 minutes, enhance your expertise and create impactful, data-driven outcome.

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  <div>If you’re just starting your project management career, or switching into the field, a capstone project is an excellent way to showcase your practical experience to a prospective employer. This Capstone for Project Management course is designed for professionals who have some experience in project management, or have completed introductory training in project management, and are now ready to apply their new skills in a real-world scenario.  <br /><br /></div><div>During this course, you’ll take on the role of a project manager and gain hands-on experience in managing a project from start to finish.  <br /><br /></div><div>As you work through the modules, you’ll produce common project deliverables. Using a predictive methodology, you’ll create artifacts such as a work breakdown structure, network diagram, budget, quality and communications management plans, and a risk register. You’ll develop user stories, examples of product and sprint backlogs, and a burndown chart analysis. Plus, you’ll produce a project status report, a change form, and a closeout report.  <br /><br /></div><div>By the end of the course, you’ll have created numerous artifacts that demonstrate your knowledge of predictive and adaptive methodologies which you can add to your portfolio.  <br /><br /></div><div>If you’re keen to build practical experience as a project manager that you can talk about in interviews, ENROLL TODAY and get ready to power up your resume with skills employers are looking for.</div><div> <br /><strong>What You'll Learn</strong></div><ul><li>Build valuable hands-on experience as a project manager you can showcase to an employer in just 3 weeks.  </li><li>Demonstrate end-to-end project knowledge of project manager capabilities. </li><li>Manage scope and resources, and kick off a project as a project manager.  </li><li>Plan a project using adaptive methodologies such as Scrum and Sprints. </li><li>Create predictive method artifacts such as a work breakdown structure, network diagram, quality and communications plans, and a risk register.  </li></ul><h1>Course Syllabus</h1><div><strong>Module 0: Welcome</strong> </div><ul><li>Video: Course Introduction  </li><li>Reading: General Information  </li><li>Reading: Learning Objectives and Syllabus  </li><li>Reading: Grading Scheme  </li><li>Reading: How to make the most out of this course  </li></ul><div><strong>Module 1: Initiating the Project</strong>  </div><ul><li>Reading: Module Introduction and Learning Objectives  </li><li>Reading: Overview and Activity Requirements   </li><li>Video: Project Scenario Introduction  </li><li>Reading: Project Scenario  </li><li>Reading: Business Case   </li><li>Reading: Stacey Analysis  </li><li>Video: Demo: Project Charter Review  </li><li>Video: Demo: Stakeholder Register  </li><li>Lab 1: Create a Project Charter and Stakeholder Register  </li><li>Lab 1 Checklist: Project Charter and Stakeholder Register  </li><li>Reading: Module 1 Summary: Initiating the Project  </li><li>Reading: Module 1 Glossary: Initiating the Project  </li><li>Module 1 Graded Quiz: Initiating the Project </li></ul><div><strong>Module 2: Predictive Project Planning </strong>  </div><ul><li>Reading: Module Introduction and Learning Objectives  </li><li>Reading: Overview and Activity Requirements  </li><li>Video: Demo: Work Breakdown Structure Review  </li><li>Video: Demo: Network Diagram Review   </li><li>Video: Demo: Budget Planning Review  </li><li>Lab 2: WBS, Project Network Diagram, and High-level budget  </li><li>Lab 2 Checklist: WBS, Project Network Diagram, and High-level budget  </li><li>Video: Demo: Communications Management Review  </li><li>Video: Demo: Quality Management Review   </li><li>Video: Demo: Risk Register Review  </li><li>Lab 3 : Create Quality Management, Communications Plans, and Risk Register  </li><li>Lab 3 Checklist: Create Quality Management, Communications Plans, and Risk Register  </li><li>Reading: Module 2 Summary: Predictive Project Planning   </li><li>Reading: Module 2 Glossary: Predictive Project Planning   </li><li>Module Graded 2 Quiz: Predictive Project Planning   </li></ul><div><strong>Module 3: Adaptive Project Planning and Execution</strong>  </div><ul><li>Reading: Module Introduction and Learning Objectives  </li><li>Reading: Overview and Activity Requirements   </li><li>Video: Demo: User Story Review  </li><li>Video: Demo: Product Backlog Review  </li><li>Video: Demo: Sprint Backlog Review  </li><li>Lab 4: User Stories, Product Backlog, and Sprint Backlog  </li><li>Lab 4 Checklist: User Stories, Product Backlog, and Sprint Backlog  </li><li>Reading: Kanban board and Burndown Chart Review  </li><li>Lab 5: Burndown Chart Analysis  </li><li>Lab 5 Checklist: Lab Burndown Chart Analysis  </li><li>Reading: Module 3 Summary: Adaptive Project Planning and Execution   </li><li>Reading: Module 3 Glossary: Adaptive Project Planning and Execution   </li><li>Module Graded 3 Quiz: Adaptive Project Planning and Execution  </li></ul><div><strong>Module 4: Predictive Monitoring and Controlling and Close Out</strong>  </div><ul><li>Reading: Module Introduction and Learning Objectives  </li><li>Reading: Overview and Activity Requirements   </li><li>Reading: Review a Project and Scenario Update   </li><li>Video: Demo: Status Reporting Review  </li><li>Video: Demo: Change Request Review  </li><li>Lab 6: Status Report and Change Analysis   </li><li>Lab 6 Checklist: Status Report and Change Analysis   </li><li>Reading: Lessons Learned Report and Retrospective  </li><li>Video: Demo: Project Closeout Report  </li><li>Lab 7: Project Close-Out Report  </li><li>Lab 7 Checklist: Project Close-Out Report  </li><li>Reading: Module 4 Summary: Predictive Monitoring and Controlling and Close Out  </li><li>Reading: Module 4 Glossary: Predictive Monitoring and Controlling and Close Out  </li><li>Module 4 Graded Quiz: Predictive Monitoring and Controlling and Close Out  </li></ul><div><strong>Module 5: Final Submission and Evaluation</strong>  </div><ul><li>Reading: Module Introduction and Learning Objectives  </li><li>Reading: Overview and Project Submission Requirements   </li><li>Project Submission and Evaluation  </li></ul><div><strong><br />Module 6: Course Wrap Up</strong>  <br /><br /></div><ul><li>Reading: Congratulations and Next Steps   </li><li>Reading: Thanks from the Course Team  </li><li>Reading: Copyrights and Trademarks </li></ul><div><strong><br />Module 7: (Bonus Content) Your Personal Portfolio and Job Search Guidance</strong> <br /><br /></div><ul><li>Reading: Introduction to Bonus lesson  </li><li>Reading: Introduction to the Project Management CAPM Practice Exam Course    </li><li>Reading: Guide to Developing a Personal Portfolio  </li><li>Video: Demo: Personal Portfolio Development  </li><li>Video: Resume and Job Search Tips  </li></ul><div><strong>Module 8: Course Rating and Feedback</strong> </div><ul><li>Course Rating and Feedback </li></ul><div><strong><br />Module 9: Badge</strong> </div><ul><li>Reading: Claim your badge here and Frequently Asked Questions (FAQ) </li></ul><div><strong>Prerequisite </strong><br />An understanding of the fundamentals of project management is essential for this course. While prior project management experience isn't essential, having a foundational knowledge of key principles will help you navigate the project effectively. You should also be comfortable with basic computer use and have access to a reliable internet connection. <br /><br /></div>
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Capstone for Project Management

  Gain valuable hands-on experience as a project manager. Build a portfolio of key deliverables that showcase your skills in predictive and adaptive methodologies and will catch the eye of a prospective employer.  

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  <div>In this Capstone course, you will apply your skills and knowledge acquired in previous courses and demonstrate your proficiency in DevOps practices. You’ll plan, develop, test, deploy, monitor, and enhance a secure microservices-based application on Cloud across several sprints, using a variety of Agile, Cloud Native, and CI/CD technologies and tools.<br /><br /></div><div><br />You will utilize, Agile development practices to plan for and progress your project. You will use REST APIs and Python to develop an application. You will create Docker images and orchestrate their deployment using Kubernetes and OpenShift. You will work with GitHub repositories, test your application using TDD/BDD practices, and build Continuous Integration and Deployment (CI/CD) pipelines.<br /><br /></div><div><br />Upon completing your capstone project, you’ll have applied your knowledge and skills with numerous tools and technologies and added a project to showcase in your portfolio that demonstrates your skills as a DevOps professional. It is highly recommended that before starting this course, you have completed the various courses in the IBM DevOps and Software Engineering Professional Certificate or have equivalent experience.<br /><br /></div>
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DevOps and Software Engineering Capstone Project

Gain hands-on experience in DevOps by planning, developing, testing, deploying, and monitoring a secure microservices application on Cloud. Utilize Agile, Cloud Native, and CI/CD technologies and tools.

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  <div>The DevOps Basics for Everyone course explores DevOps as a cultural movement. By thinking from a DevOps perspective, you will be able to build better products for your customer. This course provides views of DevOps from both a business perspective and as a DevOps engineer.<br /><br /></div><div><br />You will learn about building a business case for DevOps, the essentials of DevOps, and receive a brief history of DevOps. Additionally, new ways of thinking, working, organizing, and measuring to fully gain the benefits of DevOps methodologies will also be taught.<br /><br /></div><div><br />You will learn how breaking down silos and organizing developers and operators into single cross-functional teams is necessary for truly adopting DevOps. Having everyone contributing and being responsible is at the core of being successful at applying DevOps.<br /><br /></div><div><br />You will see how building a culture of shared responsibility and transparency is the foundation of every high performing DevOps team.<br /><br /></div><div><br />Exploring the key concepts of infrastructure for DevOps Continuous Integration and Continuous Delivery is taught during this course. You will be able to use actionable measures that apply directly to decision making that will ultimately result in continuous improvement.<br /><br /></div><div><br />The course wraps up with a case study of a DevOps scenario for you to test and apply your newly acquired DevOps knowledge.<br /><br /></div>
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DevOps Basics for Everyone

This course is intended to help launch your career as a DevOps Professional. In this course you will learn to think, work, organize and measure DevOps - skills that you can use to build better products.

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  <div>Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery, and more, to identify behaviors and preferences of prospects, clients, competitors, and others.<br /><br /></div><div><br />This course introduces you to Big Data concepts and practices. You will understand the characteristics, features, benefits, limitations of Big Data and explore some of the Big Data processing tools. You'll explore how Hadoop, Hive, and Spark can help organizations overcome Big Data challenges and reap the rewards of its acquisition.<br /><br /></div><div><br />Hadoop, an open-source framework, enables distributed processing of large data sets across clusters of computers using simple programming models. Each computer, or node, offers local computation and storage, allowing datasets to be processed faster and more efficiently. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets in various databases and file systems that integrate with Hadoop.<br /><br /></div><div><br />Open-source Apache Spark is a processing engine built around speed, ease of use, and analytics that provides users with newer ways to store and use big data. You will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the different components that make up Apache Spark. In this course, you will also learn how Resilient Distributed Datasets, known as RDDs, enable parallel processing across the nodes of a Spark cluster.<br /><br /></div><div><br />You'll gain practical skills when you learn how to analyze data in Spark using PySpark and Spark SQL and how to create a streaming analytics application using Spark Streaming, and more.<br /><br /></div>
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Big Data, Hadoop, and Spark Basics

This course introduces Big Data concepts and how to use Hadoop, Hive, Spark and other tools to process large datasets and gain insights. Learn to use PySpark and Spark SQL, and create streaming analytics applications. Unlock the power of Big Data.

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  <div>Explain to a pWith smartphone usage projected to grow by 30%, there's never been a better time to launch a career in mobile app development. This course provides aspiring software engineers with the ideal introduction to this high growth field with no prior experience required.<br /><br /></div><div>Mobile app developers design, code, and refine apps, combining technical skill with creativity to deliver engaging mobile experiences. <br /><br />In this course, you’ll explore what apps are, how they’ve evolved, and how the different parts of a mobile app work together, including the front end, back end, data management, and hosting. You will become familiar with various mobile platforms and operating systems such as iOS, Android, WatchOS, WearOS, and others.<br /><br />You’ll gain valuable knowledge of the overall mobile app development ecosystem and gain learn about mobile app types and their operating systems. You’ll delve into the languages and frameworks used to develop mobile apps such as Swift, Kotlin, Flutter, and React Native. Plus, you’ll explore different integrated development environments (IDEs) such as Android Studio and Xcode, as well as the tools used for mobile app development, including testing tools and emulators.<br /><br />Then, hear from seasoned experts what it's really like to work as part of a mobile app development team and the skills you'll need to excel as a mobile developer. Learn about employment opportunities, career paths and progression, and the future of mobile app development and use these insights to help you create your own mobile app developer career plan.<br /><br />If you’re an aspiring techie keen to move into the lucrative world of mobile app development, enroll to and begin your journey toward a rewarding career!<br /><br /></div><div><br /></div><h1>Course Syllabus</h1><div>Module 1: Introduction to the Mobile App Landscape</div><div>Module 2: Mobile App Development Ecosystem</div><div>Module 3: A Career in Mobile App Development<br /><br /></div><h1>General Information</h1><div>This information-packed course has three modules, each taking approximately three to four hours to complete. We encourage you to set aside time to complete all the modules. Consistency will help you achieve your learning goals!<br /><br />To maximize your course benefits, watch all the videos and complete the readings. Then, put your new knowledge to work and gain hands-on labs, assess your knowledge using the practice and graded quizzes, and evaluate your skills using the final project.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>This course requires fundamental knowledge and skills related to Information Technology (IT). The course is suitable for beginners in mobile development and does not require prior programming knowledge. Experienced developers who do not have iOS development experience can also benefit from this course. <br /><br />You will need a macOS laptop or desktop computer to get the most out of this course.</div>
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Introduction to Mobile App Development

You’ll explore what mobile apps are, how they’ve evolved, & how the different parts of a mobile app work, including front-end & back-end development, data management, and hosting. You will become familiar with various mobile platforms and operating systems, such as iOS, Android, WatchOS, WearOS. You’ll learn about the mobile app development ecosystem & different types of apps and operating systems. You’ll also gain foundational knowledge of the languages and frameworks used to develop mobile apps, such as Swift, Kotlin, Flutter, and React Native.

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  <div>Cyberattacks have surged by 71% and are predicted to continue increasing. This alarming statistic highlights the continued demand for cybersecurity professionals. Jumpstart your cybersecurity career with this introductory IBM course, which introduces you to fundamental cybersecurity concepts, threats, and preventive measures.<br /><br /></div><div>Explore the evolution of cybersecurity and the motivations of the actors behind cyberattacks, including types such as malware, ransomware, and other security threats. You'll also relate critical thinking to common cybersecurity practices and architecture.<br /><br /></div><div>Hear from industry experts regarding their own careers, skills, perspectives, and experiences. Frameworks, standards, and organizations play a fundamental role in cybersecurity, which you will also investigate.<br /><br /></div><div>Throughout, you’ll build practical knowledge and technical expertise through hands-on labs. Your final project will enable you to effectively demonstrate your understanding of cybersecurity principles.<br /><br /></div><div>This course is for anyone who wants to know the basics of cybersecurity and is part of a series designed to help you start a career as a Cybersecurity Analyst.<br /><br /></div><h1>Course Syllabus</h1><ul><li>Module 1: Cybersecurity Insights</li><li>Module 2: Cybersecurity Threats</li><li>Module 3: Cybersecurity Controls</li><li>Module 4: Identity and Physical Controls</li><li>Module 5: Final</li></ul><h1>Recommended Skills Prior to Taking this Course</h1><div>As a prerequisite, it is recommended that you have basic knowledge of IT fundamentals.<br /><br /></div><h1>Course objectives</h1><ul><li>How to apply key cybersecurity concepts, tools, and methodologies to protect digital and physical assets</li><li>How to recognize various types of threat actors and malware and explore preventive measures</li><li> To identify various internet security threats and common cybersecurity best practices</li><li>To understand authentication and identity management concepts for safeguarding your organization</li></ul>
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Cybersecurity Basics

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  <div>In this comprehensive capstone course, you’ll apply your product management skills to take on the role of a product manager and, using the scenario provided, produce 16 essential industry-recognized product management artifacts.  <br /> <br />You’ll create an Ansoff matrix, the product vision document, the Product Requirements Document (PRD), and the product roadmap. You’ll also develop the business case and create the product narrative, the positioning statement, marketing collateral recommendations, a demand generation plan, and an end-of-life plan. <br /> <br />You’ll submit your completed artifacts for peer review and grade your peers’ submissions. These artifacts can help you demonstrate your readiness for entry-level product manager roles to future employers.  <br /><br />Then, test your knowledge with questions similar to those you will experience when taking the Association of International Product Marketing &amp; Management (AIPMM) Certified Product Manager (CPM) certification exam. <br /> <br />Take advantage of the bonus module to get personal portfolio tips that can help you showcase your product management acumen to prospective employers. You’ll also get helpful resume tips and advice about starting your product manager job search.<br /><br /><strong>Recommended Background</strong><br />Course completion of previous courses in the IBM Product Management Professional Certificate or SkillUp Product Management Certification. <br /><br /><strong>Module 1: Product Management: The Fundamentals </strong></div><ul><li>Course Introduction</li><li>Welcome</li><li>Product Manager Role and Evaluation Techniques</li><li>Module 1 Summary and Assessment</li></ul><div><strong>Module 2: The Conceive and Plan Phases </strong></div><ul><li>The Conceive Phase Activities and Deliverables </li><li>The Plan Phase Activities and Deliverables</li><li>Module 2 Summary and Assessment</li></ul><div><strong>Module 3: The Develop and Qualify Phases</strong></div><ul><li>The Develop Phase</li><li>The Qualify Phase</li><li>Module 3 Summary and Assessment</li></ul><div><strong>Module 4: Launch, Delivery, and Retire Phases</strong></div><ul><li>Launching the Product </li><li>Delivering and Retiring the Product</li><li>Module 4 Summary and Assessment</li></ul><div><strong>Module 5: Final Submission and Evaluation</strong></div><ul><li>Final Project Submission</li><li>CPM Graded Practice Examination</li><li>Course Wrap Up</li></ul><div><strong>Module 6: (Bonus) Portfolio Development and Job Readiness</strong></div><ul><li>Your Personal Portfolio and Job Search Guidance</li></ul><div><br />This course contains a variety of learning assets: videos, activities, labs, projects, practice, graded quizzes, readings, and discussion prompts. The <strong>videos </strong>and<strong> readings</strong> present the instruction; <strong>labs </strong>support instruction with hands-on learning experiences; <strong>discussions</strong> allow you to interact and learn from your peers; a <strong>peer-review project</strong> that mimics real-world scenarios to showcase your skills; <strong>practice quizzes</strong> enable you to test your knowledge of what you learned; and <strong>graded quizzes</strong> indicate how well you have learned the course concepts.</div><div>Enjoy the course!</div>
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- Apply your product development lifecycle knowledge and prepare the key artifacts required to complete each phase.- Demonstrate product management proficiency by creating selected artifacts such as product concept, requirements, end-of-life plan.  - Illustrate your product management skills and accomplishments through the development of a personal portfolio.- Evaluate your readiness to pass the AIPMM Certified Product Manager (CPM) certification exam.

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  <div>In this Capstone, you will demonstrate your ability to perform in an Information Technology (IT) Support role by applying your new knowledge to real-world situations. You will practice analyzing user help requests and troubleshooting various issues that a Tech Support role would encounter.<br /><br /></div><div><br />You’ll demonstrate your knowledge of hardware, software, networking, security, and cloud computing – all areas with which a tech support role interacts regularly. You'll also showcase your knowledge and understanding of escalation, levels of support, ticketing systems, and other support tools and systems, as well as communication and customer service skills for delivering technical support.<br /><br /></div><div><br />This course also includes a final exam that contains questions on the topics and style found in the CompTIA IT Fundamentals (IFT+) Certification Exam. It serves as this program’s final exam, helps you practice for the Certification, and measures your preparedness. By the end of the Capstone course, you’ll be equipped with the technical support skills that are found in everyday professional settings.<br /><br /></div><div><br />Before taking this course, it is highly recommended that you first complete all the previous courses in the IBM IT Support Professional Certificate.<br /><br /></div>
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IT Support Case Studies

This Capstone course prepares you for an IT Support role with hands-on practice and prepares you for the CompTIA IT Fundamentals (IFT+) Certification Exam. Must have completed the previous courses in IBM IT Support Professional Certificate.

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  <h1>Vector Database Capstone Course Overview</h1><div>The global recommendation engine market is predicted to grow 37% annually through 2030 (Straits Times). The expertise to predict user preferences and drive engagement using AI recommendation system skills has become an essential business need and a highly sought-after skill using vector databases. <br /> <br />In this IBM mini-course, you’ll create two shareable projects that demonstrate your proficiency and readiness to develop AI-powered recommendation systems.  <br /> <br />You’ll get step-by-step instructions to create a real-life inspired food ordering recommendation system using Chroma DB and Hugging Face models. For your final project, you’ll use Chroma DB or your choice of PostgreSQL, Cassandra, or MongoDB to create a real-life job search recommendation system. This will demonstrate your ability to generate embeddings and implement similarity searches using Hugging Face natural language processing (NLP) algorithms. <br /> <br />Ready to start? Bring your vector, NoSQL, or relational database vector search skills to this course. If you don't already have these skills, you can attain these skills in other Vector Databases Fundamentals Specialization courses.  <br /> <br />Enroll today in this mini-course to advance your AI career!</div><div><br /><a href="https://www.coursera.org/specializations/vector-database-fundamentals"><em>Vector Database Fundamentals Specialization</em></a><br /><br /></div><div>Prerequisites</div><div>This course is the culminating project course in the series linked above. We highly recommend that you take the previous courses before this one.</div><div>To get the most out of this course, you should be comfortable with the following:</div><div>Technologies:</div><ul><li>JavaScript</li><li>ChromaDB</li><li>Git and GitHub</li></ul><div>Concepts:</div><ul><li>Vector embeddings</li><li>Natural language processing concepts</li><li>Recommendation systems</li><li>Similarity searches</li></ul><div>If you take the previous courses in the series, you will learn what you need for success in this course.</div><div>Course Objectives</div><div>After completing this course, you will be able to:</div><ul><li>Develop a recommendation system using the ChromaDB vector database and Hugging Face tools </li><li>Generate vector embeddings using natural language processing algorithms</li><li>Perform similarity searches using vector embeddings </li><li>Search a database using a PDF as the input query</li></ul><div>Course Outline</div><div>This course has one module with three lessons, listed below. We encourage you to set aside several hours in a single week to complete it. Consistency will best help you achieve your learning goals!</div><ul><li>Lesson 0: Welcome</li><li>Lesson 1: Introduction to Hugging Face</li><li>Lesson 2: Practice project</li><li>Lesson 3: Final project</li></ul><div>Congratulations on taking these steps to further your knowledge and career! Enjoy your journey.</div><div><br /><br /></div><div><br /></div>
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Vector Databases: An Introduction with Chroma DB

In this course, you will apply your knowledge of vector databases, natural language processing, embeddings, and similarity searches to create database-backed recommendation systems in a practice project and a final capstone project using JavaScript and ChromaDB.This course is the last in a series of microcourses. Follow the link below to read about the series and see how this program can benefit you and advance your career.

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  <div><br /><br /></div><h1>Course Syllabus</h1><div><strong>Abstract</strong></div><div>This comprehensive course is perfect for cybersecurity professionals looking to deepen their understanding of cybersecurity principles, industry standards, regulations, and audit processes. Through a series of interactive lessons, you'll dive into key topics like cybersecurity laws, risk management frameworks, ethical considerations in AI, industry standards, and audit procedures. The course is engaging and practical, featuring videos, readings, activities, and quizzes to help reinforce what you learn and how to apply it in real-world scenarios. By the end of the course, you'll be well-equipped with the skills and knowledge to navigate the complex world of cybersecurity standards and regulations effectively.</div><div><strong>Prerequisites</strong></div><div>You should be familiar with concepts and terminology associated with networks, cloud computing, and their security. We recommend that you either complete the following courses if you are not aware of the basic concepts:</div><div><br /><a href="https://www.coursera.org/learn/introduction-cybersecurity-cyber-attacks?specialization=ibm-cybersecurity-analyst">Introduction to Cybersecurity Tools &amp; Cyberattacks</a><br /><br /></div><div><br /><a href="https://www.coursera.org/learn/cybersecurity-roles-processes-operating-system-security?specialization=ibm-cybersecurity-analyst">Cybersecurity Roles, Processes &amp; Operating System Security</a><br /><br /></div><div><br /><a href="https://www.coursera.org/learn/network-security-database-vulnerabilities?specialization=ibm-cybersecurity-analyst">Network Security &amp; Database Vulnerabilities</a><br /><br /></div><div>Or complete the <br /><a href="https://www.coursera.org/learn/information-technology-it-fundamentals-for-everyone#modules">Information Technology (IT) Fundamentals for Everyone</a><br /> course to get an overview of all the required topics.</div><div><strong>Course outline</strong></div><div><strong>Module 1: Introduction to Information Security and Compliance</strong></div><ul><li>Lesson: Welcome to the Course</li><li>Lesson: Governance, Risk, and Compliance</li><li>Lesson: Cybersecurity Framework</li><li>Lesson: Security Management and Oversight</li><li>Module 1 Glossary and Graded Quiz: Introduction to Information Security and Compliance</li></ul><div><strong>Module 2: Foundations of IT Service Management and Risk Governance</strong></div><ul><li>Lesson: Information Technology Infrastructure Library (ITIL)</li><li>Lesson: Risk Management</li><li>Lesson: AI Ethics and Governance</li><li>Module 2 Glossary and Graded Quiz: Foundations of IT Service Management and Risk Governance</li></ul><div><strong>Module 3: Understanding Cybersecurity Laws and Regulations</strong></div><ul><li>Lesson: US Cybersecurity Laws and Regulations</li><li>Lesson: Global Cybersecurity Laws and Regulations</li><li>Module 3 Glossary and Graded Quiz: Understanding Cybersecurity Laws and Regulations</li></ul><div><strong>Module 4: Understanding Cybersecurity Standards and Audits </strong></div><ul><li>Lesson: Cybersecurity Industry Standards</li><li>Lesson: Audits</li><li>Module 4 Glossary and Graded Quiz: Understanding Cybersecurity Standards and Audits</li></ul><div><strong>Module 5: Final Project </strong></div><ul><li>Lesson: Final Project</li><li>Lesson: Course Wrap Up</li></ul>
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Cybersecurity Compliance Framework, Standards & Regulations

Enhance your cybersecurity knowledge by mastering risk management, crucial for navigating regulations. Explore cybersecurity compliance with a focus on frameworks and standards, pivotal in today’s digital landscape. Gain insights into laws impacting security protocols. Prepare to implement security measures effectively, meeting industry benchmarks.

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  <div>Program managers are highly valued professionals who can earn up to $245,870 p.a. (Glassdoor). This course is ideal for anyone interested in starting a career in program management. This includes project managers, product managers, product owners, and scrum masters who want a focused introduction to the role of program manager.<br /> <br />Program managers oversee multiple related projects to achieve strategic business objectives. In this course, you'll develop essential program management skills to get you started. <br /> <br />You’ll discover how to define programs and investigate the phases of the program management lifecycle, addressing challenges and solutions. You’ll look at program management offices (PMOs) and learn about stakeholder management using tools like RACI charts. Plus, you’ll look at PMI-PgMP certification requirements, consider other certifications, and explore program manager career paths and the essential skills required for success. <br /> <br />Throughout this course, you'll get instructional guidance through videos and valuable hands-on practice in online labs to reinforce your learning. Then a final project will enable you to analyze program manager job postings and develop your learning plan to work in this role.<br /> <br />Enroll now to kickstart your journey to becoming a prized program manager!<br /><br /></div>
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Introduction to Program Management

In this course you’ll discover how to define programs and investigate the phases of the program management lifecycle, addressing challenges and solutions. You’ll look at program management offices (PMOs) and learn about stakeholder management using tools like RACI charts. Plus, you’ll look at PMI-PgMP certification requirements, consider other certifications, and explore program manager career paths and the essential skills required for success. 

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  <div>Apache® Spark™ is a fast, flexible, and developer-friendly open-source platform for large-scale SQL, batch processing, stream processing, and machine learning. Users can take advantage of its open-source ecosystem, speed, ease of use, and analytic capabilities to work with Big Data in new ways.<br /><br /></div><div>In this short course, you explore concepts and gain hands-on skills to use Spark for data engineering and machine learning applications. You'll learn about Spark Structured Streaming, including data sources, output modes, operations. Then, explore how Graph theory works and discover how GraphFrames supports Spark DataFrames and popular algorithms.<br /><br /></div><div>Organizations can acquire data from structured and unstructured sources and deliver the data to users in formats they can use. Learn how to use Spark for extract, transform and load (ETL) data. Then, you'll hone your newly acquired skills during your "ETL for Machine Learning Pipelines" lab.<br /><br /></div><div>Next, discover why machine learning practitioners prefer Spark. You'll learn how to create pipelines and quickly implement features for extraction, selections, and transformations on structured data sets. Discover how to perform classification and regression using Spark. You'll be able to define and identify both supervised and unsupervised learning. Learn about clustering and how to apply the <em>k-mean</em> s clustering algorithm using Spark MLlib​. You'll reinforce your knowledge with focused, hands-on labs and a final project where you will apply Spark to a real-world inspired problem.<br /><br /></div><div>Prior to taking this course, please ensure you have foundational Spark knowledge and skills, for example, by first completing the IBM course titled "Big Data, Hadoop and Spark Basics."<br /><br /></div><h1><strong>What you'll learn</strong></h1><ul><li>Describe the features, benefits, limitations, and application of Apache Spark Structured Streaming</li><li>Describe Graph theory and explain how GraphFrames benefits developers</li><li>Explain how developers can apply extract, transform and load (ETL) processes using Spark.</li><li>Describe how Spark ML supports machine learning development</li><li>Apply Spark ML for regression and classification</li><li>Differentiate between supervised and unsupervised Machine learning"</li><li>Explain how Spark ML uses clustering</li><li>Demonstrate hands-on working knowledge of using Spark for ETL processes</li></ul><h1>Course <strong>Syllabus</strong></h1><div><strong>Module 1: Spark for Data Engineering</strong></div><ul><li>Spark Structured Streaming</li><li>GraphFrames on Apache Spark</li><li>ETL Workloads</li><li>Hands-on Lab: ETL for ML Pipelines</li></ul><div><strong>Module 2: Spark ML for Machine Learning</strong></div><ul><li>Spark ML Fundamentals</li><li>Spark ML Regression and Classification</li><li>Spark ML Clustering</li></ul><div><strong>Module 3: Final Project</strong></div><ul><li>Lab: Setup &amp; Practice Assignment</li><li> Project Overview</li><li>Lab: Final Assignment Project</li><li>Project Submission &amp; Grading</li><li>Final Quiz</li></ul><h1>Recommended Skills Before Taking this Course</h1><div>Foundational Apache Spark knowledge and skills.</div>
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Apache Spark for Data Engineering and Machine Learning

This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and ML workflows.

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  <div><em>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /></em><br /></div><div>In this mini-course you will demonstrate what you’ve learned in the Python Basics* course and apply your Python skills to a real-world project for your final assignment. You will be introduced to unit testing and will develop the skills needed to create functions and unit tests, run the unit tests, and package the files in a standard Python Package.<br /><br /></div><div>Hands-on labs provide practical application of the project work you’ll be performing in the Peer-graded Final Assignment.<br /><br /></div><div>At the end of this project, you will have the skills to test your Python code, build and run unit tests, and package the Python application for distribution.<br /><br /></div><div>PRE-REQUISITE: *Python Basics course from IBM is a pre-requisite for this project course. Please ensure before taking this course you have either completed the Python Basics course from IBM or have equivalent proficiency in working with Python and data.<br /><br /></div><div>NOTE: This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.<br /><br /></div><h1><strong>What you'll learn</strong></h1><div>After completing this course, you will be able to:</div><ul><li>Demonstrate Python basic skills for developing AI powered Applications.</li><li>Describe the purpose of unit testing and packaging.</li><li>Test your Python code.</li><li>Create a Python Package.</li></ul><div>Expand your practical experience using IBM Watson APIs.<br /><br /></div><h1><strong>Course Syllabus</strong></h1><div><strong>Module 1: Python Coding Practices and Packaging Concepts</strong></div><ul><li>Video: Application Development Lifecycle</li><li>Video: Introduction to Web Applications and APIs</li><li>Video: Demo: Working with an IDE</li><li>Hands-on Lab: Getting Started with IDE</li><li>Video: Python Style Guide and Coding Practices</li><li>Reading: Static Code Analysis Resources</li><li>Hands-on Lab: Static Code Analysis</li><li>Video: Unit Testing</li><li>Hands-on Lab: Practice Session and Assignment on Unit Testing</li><li>Video: Packaging</li><li>Hands-on Lab: Practice Session and Assignment on Python Packaging</li><li>Module 1 Summary: Python Coding Practices and Packaging Concepts</li><li>Module 1 Cheatsheet: Python Coding Practices and Packaging Concepts</li><li>Module 1 Graded Quiz: Python Coding Practices and Packaging Concepts</li></ul><div><strong>Module 2: Web App Deployment using Flask</strong></div><ul><li>Video: Python Libraries and Frameworks for Application Development</li><li>Video: Introduction to Flask</li><li>Video: Basic and Applications Routes</li><li>Hands-on Lab: Get Started with Flask Basics</li><li>Video: Request and Response Objects – Using GET and POST Modes</li><li>Video: Dynamic Routes</li><li>Video: Error Handling</li><li>Hands-on Lab: Building a API with Flask: Route Creation, Error Handling and HTTP Requests</li><li>Video: Deploying Web Apps using Flask</li><li>Reading: Decorators in Flask</li><li>Hands-on Lab: Building and Deploying a Web App using Flask App</li><li>Module 2 Lesson Summary: Web App Deployment using Flask</li><li>Module 2 Cheatsheet: Web App Deployment using Flask</li><li>Module 2 Graded Quiz: Web App Deployment using Flask</li></ul><div><strong>Module 3: Creating AI Application and Deploy using Flask</strong></div><ul><li>Hands-on Lab: Practice Project Overview</li><li>Practice Project: Sentiment Analysis</li><li>Final Project Overview</li><li>Final Project: Emotion Detector</li><li>Peer Review Submit Your Work and Grade Your Peers</li><li>Module 3 Summary: Creating AI Application and Deploy using Flask</li></ul><div><strong>Course Wrap-up:</strong></div><ul><li>Congratulations &amp; Next Steps</li><li>Thanks from the Course Team</li></ul>
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Python for AI & Development Project

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

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  <div>Vulnerabilities can occur at any stage of software development, making it critical for developers to write secure code and maintain a secured development environment and the platform it runs on. In this course, you will learn to identify security vulnerabilities in applications and implement secure code practices to prevent events like data breaches and leaks which can significantly impact an organization’s reputation and financial condition. This course provides a comprehensive overview of security best practices that developers should follow when developing applications. You’ll gain extensive knowledge on various practices, concepts, and processes for maintaining a secure environment, including DevSecOps practices that automate security integration across the software development lifecycle (SDLC), Static Application Security Testing (SAST) for identifying security flaws, Dynamic Analysis, and Dynamic Testing, and creating a Secure Development Environment, an ongoing process for securing a network, computing resources, and storage devices both on-premise and in the cloud. <br /><br /></div><div><br />This course familiarizes you with the top Open Web Application Security Project (OWASP) application security risks such as broken access controls and SQL injections and teaches you how to prevent and mitigate these threats. This course includes multiple hands-on labs to develop and demonstrate your skills and knowledge for maintaining a secure development environment.<br /><br /></div>
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Application Security for Developers

This course teaches developers to identify security vulnerabilities in applications and implement secure code practices to prevent events like data breaches and leaks. Become familiar with DevSecOps practices, and SAST for identifying security flaws

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  <div>The R language plays a critical role in data analysis and a common programming language when working in the field of data science &amp; analytics. This course will introduce you to R language fundamentals like data types, techniques for manipulation, and how to implement fundamental programming tasks. We’ll also cover common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.<br /><br /></div><div><br />This course emphasizes hands-on and practical learning. You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to produce data-driven insights.<br /><br /></div><div><br />No prior knowledge of R, or programming is required.<br /><br /></div>
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R Programming Basics for Data Science

This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

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  <h1>About this Course</h1><div>Software engineering professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?<br /><br /></div><div>This course will prepare you to enter the job market as a great candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. <br /><br />The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides information about the regular functions and tasks of software engineers, as well as the opportunities of the profession and some options for career development.<br /><br />You will get guidance from a number of experts in the software industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned software development professionals share their experience to help you get ahead and land the job you want.  <br /><br />This course will prepare learners for roles with a variety of titles, including Software Engineer, Software Developer, Application Developer, Full Stack Developer, Front-End Developer, Back-End Developer, DevOps Engineer, and Mobile App Developer.<br /><br /></div><h1>Course Syllabus</h1><div><strong>Module 1: Building a Foundation</strong></div><ul><li>Welcome</li><li>Job Role Titles</li><li>IBM Certificates for Software Engineering Skills</li><li>Understanding the Role of a Software Engineer</li><li>Introduction to Full Stack Software Development PC</li><li>Introduction to DevOps and Software Engineering PC</li><li>Expert Viewpoint: Paths to Software Engineering</li><li>Opportunities in Software Development</li><li>Expert Viewpoint: Software Engineering Roles and Required Skills</li><li>Build your portfolio</li><li>Draft your resume</li><li>Lab: Draft your Resume</li><li>Gathering References</li><li>Drafting an Elevator Pitch</li><li>Drafting Basic Cover Letter</li><li>Lab: Draft your Basic Cover Letter</li><li>Expert Viewpoints: What Sets Apart a Great Software Engineering Candidate</li><li>Practice Quiz</li><li>Graded Quiz</li></ul><div><strong>Module 2: Applying and Preparing to Interview</strong></div><ul><li>Company and Industry Research</li><li>Networking Online and Off</li><li>Expert Viewpoint: Building Your Network</li><li>Assessing Job Listings</li><li>Expert Viewpoint: A Closer Look at Job Listings</li><li>Applying for a Job</li><li>Technical Review Fundamentals</li><li>Refreshing Essential Development Skills</li><li>Interview Rehearsal</li><li>Expert Viewpoint: Job Interview Prep</li><li>Lab: Prepare for an Interview</li><li>Practice Quiz</li><li>Graded Quiz</li></ul><div><strong>Module 3: Interviewing</strong></div><ul><li>Overview of the Interview Process</li><li>Expert Viewpoint: A Typical Interview Cycle</li><li>Unethical Questions and Behaviors</li><li>Mock Interview of a Software Engineer: Part 1</li><li>Mock Interview of a Software Engineer: Part 2</li><li>Mock Interview of a Software Engineer: Part 3</li><li>Coding Challenges in Software Engineering</li><li>Second-round Screening</li><li>Expert Viewpoint: Tech Screen Expectations</li><li>Final Interviewing</li><li>Interviewing: Discussing a Project</li><li>Lab: Coding Challenge Level 1</li><li>Lab: Coding Challenge Level 1 Solution</li><li>Lab: Coding Challenge Level 2</li><li>Lab: Coding Challenge Level 2 Solution</li><li>Expert Viewpoint: Interviewing</li><li>After the Interview</li><li>Expert Viewpoint: Negotiating an Offer</li><li>Check List</li><li>Practice Quiz</li><li>Graded Quiz</li></ul><h1><strong>What you'll learn</strong></h1><ul><li>Learn new concepts from industry experts</li><li>Gain a foundational understanding of a subject or tool</li><li>Develop job-relevant skills with hands-on projects</li><li>Earn a shareable career certificate from IBM</li></ul>
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Software Engineer Career Guide and Interview Prep

This course will prepare you to enter the job market as a great candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.

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  <div><em>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /></em><br /></div><div>This course builds on your existing SQL knowledge to learn about additional techniques that are key to Data Engineers.<br /><br /></div><div>You will learn how to create and use views to simplify and control access to underlying tables. You will learn about the advantages provided by stored procedures and how to write and run them. You will discover the importance of ACID transactions to maintain the integrity of your data and how to use them in your code. Finally, you will learn how to use different types of joins to accurately retrieve related data from multiple tables.<br /><br /></div><div>PRE-REQUISITE: This course is intended as a follow on to SQL for Data Science course from IBM. Please ensure that you have either completed that course prior to starting this one, or have foundational/intermediate knowledge of SQL and are familiar with creating tables, performing select statements, filtering, sorting and grouping data, and working with nested queries and multiple tables.</div><h1><strong><br />What you'll learn</strong></h1><ul><li>Create and use views</li><li>Create and execute stored procedures</li><li>Work with ACID transactions</li><li>Query multiple tables using JOIN operators</li></ul><h1><strong>Course Syllabus</strong></h1><div><strong>Module 1: Additional SQL</strong></div><ul><li>Using Views</li><li>Stored Procedures</li><li>Transactions</li><li>JOINs</li></ul>
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SQL Concepts for Data Engineers

Learn advanced SQL techniques such as views, stored procedures, ACID transactions, and joins to become a Data Engineer. Prerequisite: Intermediate SQL knowledge. Earn a skill badge when you complete the course.

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  <div>This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis.The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.<br /><br /></div><div>Excel is an important tool when working with data - whether it is for business, marketing, research, or data analysis purposes. This course is targeted at those people who have ambitions in Data Analytics or Data Scientist roles, as well as those who just have a need to use Excel to perform data analysis in their own company or environment.<br /><br /></div><div>Learners will gain useful experience in the cleaning and wrangling of data using functions, and in analyzing data using methods such as sorting, filtering, and pivot tables. This course starts with an introduction to spreadsheet applications such as Microsoft Excel and Google Sheets and discusses importing data from multiple different formats. During this introduction you will learn to carry out some basic-level data wrangling and data cleaning tasks and then you will expand your knowledge of data analysis via the use of sorting, filtering, and pivot tables in a spreadsheet.<br /><br /></div><div>The emphasis is on applied learning and hands-on practice in this course, and with each hands-on lab, you will gain further experience in the manipulation and handling of data and start to understand the important role that spreadsheets can perform in a data analysis environment. The final assignment project will allow you to apply these newly acquired skills to analyze data in a business scenario. By the end of this course, you will have worked with several data sets and spreadsheets and demonstrated the basics of cleaning and analyzing data all without having to learn any code.<br /><br /></div><div>This course makes it simple to get started using Excel for data analysis, as it does not require any previous spreadsheet or code-writing experience. The course also does not require you to perform any software downloads or installations. All that is required is a device with a modern web browser, and the ability to use (or create) a Microsoft account to access Excel online at no-cost. Although the hands-on labs steps are specifically related to using ‘Excel for the web’, if you already have the full desktop version of Excel, you should be able to use that to follow along quite easily with the labs.</div><h1><br />Course Syllabus</h1><div><strong>Module 1 - Introduction to Data Analysis Using Spreadsheets</strong></div><ul><li>Introduction to Spreadsheets </li><li>Spreadsheet Basics</li><li>Using Spreadsheets as a Data Analysis Tool  </li></ul><div><strong>Module 2 - Getting Started with Using Excel Spreadsheets</strong></div><ul><li>Viewing, Entering, and Editing Data</li><li>Copying, Filling, and Formatting Cells and Data </li><li>The Basics of Formulas</li><li>Intro to Functions</li><li>Referencing Data in Formulas</li></ul><div><strong>Module 3 - Basics of Data Quality and Privacy</strong></div><ul><li>Overview of the Data Analyst Ecosystem</li><li>Types of Data  </li><li>Understanding Different Types of File Formats</li><li>Sources of Data Using Service Bindings</li><li>Languages for Data Professionals</li></ul><div><strong>Module 4 - Cleaning Data</strong></div><ul><li>Removing Duplicated or Inaccurate Data and Empty Rows</li><li>Dealing with Inconsistencies in Data</li><li>More Excel Features for Cleaning Data</li></ul><div><strong>Module 5 - Data Analysis Basics, Filtering and Sorting Data</strong></div><ul><li>Intro to Analyzing Data Using Spreadsheets</li><li>Filtering and Sorting Data in Excel</li><li>Useful Functions for Data Analysis</li><li>Using VLOOKUP and HLOOKUP Functions</li></ul><div><strong>Module 6 - Using Pivot Table</strong></div><ul><li>Introduction to Creating Pivot Tables in Excel</li><li>Pivot Table Features</li></ul><div><strong>Final Project - Part 1 and Part 2</strong></div><div><br /></div>
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Analyzing Data with Excel

Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.

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  <div>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /><br /></div><div>"A picture is worth a thousand words." We are all familiar with this expression. It especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.<br /><br /></div><div>One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way.<br /><br /></div><div>In this course, you will learn how to leverage a software tool to visualize data that will also enable you to extract information, better understand the data, and make more effective decisions.<br /><br /></div><div>When you sign up for this course, you get free access to IBM Watson Studio. In Watson Studio, you’ll be able to start creating your own data science projects and collaborating with other data scientists. Start now and take advantage of everything this platform has to offer!</div><h1><strong><br />Course Syllabus</strong></h1><div><strong>Module 1 -Introduction to Visualization Tools</strong></div><ul><li>Introduction to Data Visualization</li><li>Introduction to Matplotlib</li><li>Basic Plotting with Matplotlib</li><li>Dataset on Immigration to Canada</li><li>Line Plots</li></ul><div><strong>Module 2 -Basic Visualization Tools</strong></div><ul><li>Area Plots</li><li>Histograms</li><li>Bar Charts</li></ul><div><strong>Module 3 -Specialized Visualization Tools</strong></div><ul><li>Pie Charts</li><li>Box Plots</li><li>Scatter Plots</li><li>Bubble Plots</li></ul><div><strong>Module 4 -Advanced Visualization Tools</strong></div><ul><li>Waffle Charts</li><li>Word Clouds</li><li>Seaborn and Regression Plots</li></ul><div><strong>Module 5 -Creating Maps and Visualizing Geospatial Data</strong></div><ul><li>Introduction to Folium</li><li>Maps with Markers</li><li>Choropleth Maps</li></ul>
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Visualizing Data with Python

Unlock the power of data with Python in this beginner-focused course. Learn foundational skills in data science and graphic communication, guiding your journey into data visualization. Master Python techniques, essential for creating impactful visuals, while exploring IBM's Watson Studio for a seamless experience. Engage with hands-on exercises to transform complex data into compelling stories.

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  <div>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /><br /></div><div>In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.<br /><br /></div><div>With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.<br /><br /></div><div>This hands-on course will get you up and running with some of the latest and greatest data science tools.<br /><br /><br /><br /></div>
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Data Science Tools

Unlock the basics of data science with beginner-friendly tools like Jupyter and RStudio. This course guides you through practical skills, starting with Python and Markdown, to enhance your analysis capabilities. Learn to navigate Jupyter Notebook, boost your data manipulation, and streamline your workflow. Discover the essentials in an engaging, step-by-step journey.

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  <div>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /><br /></div><div><br />By enrolling in this course, chances are you've studied artifical intelligence, built chatbots and have perhaps even used Watson Assistant along the way. But did you know that you can turbocharge your chatbot's IQ with IBM Watson Discovery, a service designed to reveal the hidden value in your data? Discovery specializes in taking your data--structured or unstructured--and extracting from it answers and patterns.<br /><br /></div><div><br />For example, if you have a large repository, the contents of which could answer customer questions, you've got the makings of a great FAQ chatbot.<br /><br /></div><div><br />In this course, you'll learn how to build queries in Discovery, which allows you to surface answers and patterns from large repositories of data. You'll next learn to use Discovery to extract insights from a set of hotel reviews. Then, to make that data come to life, you'll integrate Discovery with other Watson services to create a chatbot that can tell you about the best hotels in a certain US city. By using these Watson services, you'll add more layers of analysis to help you find the best hotel.<br /><br /></div><div>You'll build your chatbot application with the following Watson services:<br /><br /></div><ul><li>Assistant</li><li>Discovery</li><li>Tone Analyzer</li><li>Personality Insights</li></ul><div>By the end of this course, you will have built a fully functioning AI-powered chatbot. Moreover, you should be able to apply the services taught here to your own data sets, enabling you to create sophisticated chatbots of your own.</div><h1><strong><br />Course Syllabus</strong></h1><ul><li>Lab 1: Build a Watson chatbot<ul><li>Watson Assistant overview</li><li>Deploy Watson Assistant</li><li>Import the workspace</li><li>Create intents, entities, and dialog</li><li>Apply the Jump to action</li><li>Add multiple response conditions for a specific intent</li><li>Add responses for other intents</li><li>Test the chatbot</li></ul></li><li>Lab 2: Build queries by using Watson Discovery<ul><li>Watson Discovery overview</li><li>Access the news collection in the Discovery tool</li><li>Understand the data structure</li><li>Query the data by using filters</li><li>Query the data by using the query parameter</li><li>Query the data by using aggregation</li><li>Retrieve longer passages from the data</li><li>Train Discovery to improve relevancy</li><li>Lab 3: Enhance a chatbot with Discovery</li><li>Get the starter code and credentials</li><li>Integrate Discovery with the chatbot</li><li>Test the application</li><li>Lab 4: Gain insights by using Discovery</li><li>Get the data into Discovery</li><li>Find basic insights in the data</li><li>Lab 5: Analyze the tone from hotel reviews</li><li>Watson Tone Analyzer overview</li><li>Deploy the Tone Analyzer service</li><li>Analyze the tone in hotel review</li><li>Test the tone analysis</li><li>Lab 6: Analyze customer preferences</li><li>Watson Personality Insights overview</li><li>Deploy the Personality Insights service</li><li>Get the personality profile</li><li>Test the application</li><li>Final exam</li></ul></li></ul>
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AI Applications with Watson

Learn to build chatbots using IBM's AI platform, Watson. This beginner-level course introduces Artificial Intelligence, emphasizing big data analytics. Discover data for legal use cases with practical approaches. Enhance your skills in creating efficient conversational agents.

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  <div>Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. <br /><br /></div><div>This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. <br /> <br />Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. <br /> <br />There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. <br /> <br />By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!<br /><br /></div>
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Excel Basics for Data Analysis

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. 

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  <div>Explain to a potential learner why this course is important/interesting and what they can gain from taking your course.<br /><br /></div><h1>Course Syllabus</h1><div>Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. <br /><br /></div><div>You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines. Next you’ll also work with the Excel PivotChart feature as well as assemble several visualizations in an Excel dashboard.  <br /><br />This course also teaches you how to use business intelligence (BI) tools like Cognos Analytics  to create interactive dashboards. By the end of the course you will have an appreciation for the key role that data visualizations play in communicating your data analysis findings, and the ability to effectively create them. <br /><br />Throughout this course there will be numerous hands-on labs to help you develop practical experience for working with Excel and Cognos. There is also a final project in which you’ll create a set of data visualizations and an interactive dashboard to add to your portfolio, which you can share with peers, professional communities or prospective employers.<br /><br /></div><h1><strong>Week 1 – Visualizing Data Using Spreadsheets</strong></h1><ul><li>Course Intro</li><li>Optional Lab: Excel Basics</li><li>Reading: Excel Keyboard Shortcuts</li><li>Introduction to Charts</li><li>Interview: Using Visualizations to Tell a Story</li><li>Creating Basic Charts in Excel</li><li>Using the Excel PivotChart Feature</li><li>Lab: Creating Basic Charts</li><li>Practice Quiz: Visualizing Data using Spreadsheets</li><li>Graded Quiz: Visualizing Data using Spreadsheets</li></ul><div><br /></div><h1><strong>Week 2 – Creating Visualizations and Dashboards with Spreadsheets</strong></h1><ul><li>Creating Treemaps, Scatter Charts, and Histograms</li><li>Creating Filled Map Charts and Sparklines</li><li>Lab: Creating Advanced Charts</li><li>Practice Quiz: Creating Advanced Charts</li><li>Graded Quiz: Updating Advanced Charts</li><li>Introduction to Dashboarding</li><li>Interview: Using Dashboards to Present Data Results</li><li>Creating a Simple Dashboard using Excel</li><li>Lab: Creating a Simple Dashboard with Excel</li><li>Practice Quiz: Creating Dashboards Using Spreadsheets</li><li>Graded Quiz: Creating Dashboards Using Spreadsheets</li></ul><div><br /></div><h1><strong>Week 3 – Creating Visualizations and Dashboards with Cognos Analytics</strong></h1><ul><li>Cognos Analytics: Introduction and How to Sign Up</li><li>Navigating in Cognos Analytics</li><li>Lab: Getting Started with Cognos Analytics</li><li>Practice Quiz: Getting Started with IBM Cognos Analytics</li><li>Creating a Simple Dashboard in Cognos Analytics</li><li>Lab: Different Methods for Creating Dashboard Visualizations with Cognos Analytics</li><li>Advanced Capabilities in Cognos Analytics Dashboards</li><li>Lab: Advanced Dashboard Capabilities in Cognos Analytics</li><li>Practice Quiz: Creating Dashboards with Cognos Analytics</li><li>Graded Quiz: Creating Visualizations and Dashboards with Cognos Analytics</li></ul><div><strong>OPTIONAL CONTENT</strong></div><ul><li>Reading: About this optional lesson with Looker Studio</li><li>Reading: Getting Started with Google Looker Studio</li><li>Lab: Getting Started with Google Looker Studio</li><li>Creating Visualizations in Reports using Looker Studio</li><li>Lab: Creating and Configuring Visualizations with Google Looker Studio</li><li>Practice Quiz: Creating and Configuring Visualizations with Google Looker Studio</li></ul><div><br /></div><h1><strong>Week 4 – Final Project - Creating Visualizations and Dashboards</strong></h1><ul><li>Reading: Final Project Overview</li><li>Final Assignment – Part 1: Creating Visualizations Using Excel</li><li>Final Assignment – Part 2a: Creating Visualizations Using Cognos Analytics OR</li><li>Final Assignment – Part 2b: Creating Visualizations Using Google Looker Studio</li><li>Final Assignment – Part 3: Peer-graded Assignment – Learner Submission</li><li>Final Assignment – Part 3: Peer-graded Assignment – Peer Review</li></ul>
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Data Visualization and Dashboards with Excel and Cognos

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  <div>In this course, you will learn about the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another R data visualization package called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will learn about creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web. <br /><br /></div><div><br />You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Enroll in the course, watch the videos, work through the labs, and then watch your data science skills grow! <br /><br /></div><div><strong><br />NOTE:</strong> This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course.<br /><br /></div>
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Visualizing Data with R

Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package!

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  <div>The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives. This course starts with a question, and then walks you through the process of answering it through data. You will first learn important techniques for preparing (or wrangling) your data for analysis. Then you will learn how to gain a better understanding of your data through exploratory data analysis, helping you to summarize your data and identify relevant relationships between variables that can lead to insights.<br /><br /></div><div><strong><br />Once your data is ready to analyze, you will learn how to develop your model, evaluate it and tune its performance. By following this process, you can be sure that your data analysis performs to the standards that you have set, so that you can have confidence in the results.<br /></strong><br /></div><div><br />By playing the role of a data analyst who is analyzing airline departure and arrival data to predict flight delays, you will build hands-on experience delivering insights using data. Using an Airline Reporting Carrier On-Time Performance Dataset, you will practice reading data files, preprocessing data, creating models, improving models, and evaluating them to ultimately choose the best one to use.<br /><br /></div><div><em><br />Note: The prerequisite for this course is basic R programming skills. For example, ensure that you have completed a course like Introduction to R Programming for Data Science from IBM.<br /></em><br /></div>
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Analyzing Data with R

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.

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  <div>Jumpstart your career in Information Technology (IT) with this beginner friendly, self-paced course! By taking this course you will enhance your base knowledge of essential skills in networking, storage, and system administration. <br /><br />You'll first learn about networking fundamentals which include: network types, network cables, topologies, and models. Understand how data travels across a network, and discover how protocols and standards enable all network activity. Then, you’ll learn how to set up and configure devices and cables for both wired and wireless networks.  <br /><br />Next, you’ll learn to diagnose and troubleshoot network connectivity issues and discover how to use command line utilities and network tools in Windows settings.  <br /><br />After that, you’ll identify different types of storage drives and discover the difference between short-term and long-term memory. You’ll learn the features of local, offsite, and cloud storage and when to use each. And you’ll investigate file, block, and object storage and work out which cloud provider solutions work best for different networking scenarios. <br /><br />Videos, practice activities, and virtual hands-on labs will help you develop and apply the skills you need to diagnose and repair basic networking and storage issues so you can keep users connected and their data accessible. <br /><br />At the end of this course, you will complete a final quiz and assignment where you will demonstrate your understanding of the course content.<br /><br /></div><h1><strong>Course Syllabus</strong></h1><div><strong>Module 1: Networking Fundamentals </strong></div><ul><li>Welcome</li><li>Network Topologies, Types, and Connections</li></ul><div><strong>Module 2: Networking Fundamentals Part II<br />Module 3: Configuring and Troubleshooting Networks<br />Module 4: Storage Types and Network Sharing <br />Module 5: Final Quiz and Assignment</strong></div><ul><li>Glossary and Final Exam</li><li>Course Wrap Up</li><li>Final Project</li></ul><div><br /></div>
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Networking and Storage Essentials

Identify wired and wireless network types, explain physical and logical topology, differentiate network cable types and what each is used for. List common network devices. Discover what packets are and how IP addresses work, and explain what protocols are and why models are necessary.Determine how to set up and encrypt networks and mobile devices. Diagnose connectivity issues and utilize the command prompt and Windows Settings.List network drive types, explain RAM, ROM, and RAID, and troubleshoot storage issues. Explain STaaS, and define file, block, and object storage. 

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  <ul><li>Explain what data engineering is and the responsibilities and skillsets of a Data Engineer.</li><li>List tasks that need to be performed in a typical data engineering lifecycle.</li><li>Identify the different layers of a data platform's architecture and the key tasks performed in each layer.</li><li>Describe different learning paths that can lead you to a career in data engineering.</li><li>Explain what big data is, how it impacts the collection, monitoring, storage, analysis, and reporting of data, and list some big data processing tools.</li></ul><div><strong><br />Syllabus<br /></strong><br /></div><ul><li>Module 1: What is Data Engineering</li><li>Module 2: Data Engineering Ecosystem</li><li>Module 3: Data Engineering Lifecycle</li><li>Module 4: Career Opportunities and Learning Paths</li></ul><div><br /><br /></div>
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Data Engineering Basics for Everyone

Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making

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  <div><strong>Course description</strong></div><div>In today's fast-paced digital landscape, rapidly responding to cybersecurity incidents is critical. This course focuses on both incident response and digital forensics, providing you with foundational knowledge and skills to handle cyber incidents and investigate digital evidence effectively.</div><div>You will explore the preparation steps, detection techniques, containment strategies, and recovery processes in incident response. In digital forensics, you will learn how to collect and examine digital evidence, analyze findings, and report these in a clear and structured format.</div><div><strong>Course outline</strong></div><div><strong>Module 1: Incident Response</strong></div><div>This module introduces learners to the principles of incident response. Topics covered include:</div><ul><li><strong>Incident response fundamentals</strong><ul><li>Understanding the NIST and SANS frameworks</li><li>Key preparatory steps for incident response</li><li>Detection and analysis techniques</li><li>Containment, eradication, and recovery strategies</li><li>Post-incident activities and documentation</li></ul></li><li><strong>Activities</strong>: Incident response simulations and interactive activities to apply your knowledge</li></ul><div><strong>Module 2: Digital Forensics</strong></div><div>In this module, you will dive into digital forensics and learn how to conduct forensic investigations. Topics include:</div><ul><li><strong>Digital forensics and investigation</strong><ul><li>Methods for collecting and analyzing digital evidence</li><li>Tools for digital forensics, including practical labs on log investigation</li><li>Reporting forensic findings effectively</li><li>Factors affecting data recovery during forensic investigations</li></ul></li><li><strong>Lab</strong>: Investigate logs using Cowrie</li></ul><div><strong>Module 3: Final project and wrap-up</strong></div><div>You will apply the knowledge gained throughout the course in a final project,  where you will conducting a simulated investigation. The course concludes with a comprehensive wrap-up and additional resources for further learning.</div><div><strong>Tools and software</strong></div><div>In this course, you will use:</div><ul><li>Incident response frameworks and tools</li><li>Various cybersecurity investigation platforms</li></ul><div><strong>Tips for success</strong></div><ul><li>Stay organized and follow a structured approach when responding to incidents or conducting investigations</li><li>Engage with the community and ask questions if you need clarification</li><li>Regularly practice using the tools and techniques provided in the course</li><li>Take time to experiment with the lab activities to deepen your understanding</li></ul>
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Cyber Incident Response and Investigation

Explain the principles and importance of incident response in cybersecurity. Implement techniques for detecting and analyzing security incidents. Implement methods for collecting and examining digital data.  Analyze and report digital forensic findings to support cybersecurity efforts. 

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  <div>Managing databases is a critical skill for Data Engineers and Database Administrators to ensure data is reliable, protected and easily accessible for organizations to make better decisions, solve problems and create business value.<br /><br /></div><div><br />With the amount of data continually expanding and business leaders focused on building data-literate organizations, it’s no surprise that Database Administrators are in high demand and earn a median salary of US $98,860 per year according to the US Bureau of Labor Statistics.<br /><br /></div><div><br />This course provides you with the knowledge and hands-on experience to manage and maintain databases, understand database security, design and define database schemas, tables, views, and other database objects, describe storage, perform backups and recovery, troubleshoot errors, monitor and optimize performance and automate tasks.<br /><br /></div><div><br />This course includes hands-on practice labs and a real-world inspired project to add to your portfolio that will demonstrate your ability to perform the Database Administration tasks using relational databases (RDBMSes) such as MySQL, PostgreSQL and IBM Db2.<br /><br /></div><div><br />Prior knowledge of database fundamentals and SQL is required to complete this course.<br /><br /></div>
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Relational Database Administration (DBA)

This course helps you develop the foundational skills required to perform the role of a Database Administrator (DBA) including designing, implementing, securing, maintaining, troubleshooting and automating databases such as MySQL, PostgreSQL and Db2.

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  <div>Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!<br /><br /></div><div><br />This course is an introduction to the world of relational databases. You will explore the fundamental concepts of relational databases and Relational Database Management Systems (RDBMS), learn about relational database design, and understand how to transform source data into tables with clearly defined relationships. From there, you will learn how to apply relational database design principles to your own data, and create databases, tables, and load data yourself. You’ll get an introduction to Structured Query Language (SQL) and use it to add the keys and constraints necessary in a relational database.<br /><br /></div><div><br />This course includes hands-on, practical exercises to help you demonstrate your learning. You will work with several industry standard relational databases, including IBM Db2, MySQL, and PostgreSQL. Based on what you’ve learned through the course, you’ll complete a final project in which you’ll design, create, and populate a database instance containing multiple tables.<br /><br /></div><div><br />No prior knowledge of databases or programming is required.<br /><br /></div>
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Relational Database Basics

Learn the fundamentals of relational databases and gain practical experience with IBM Db2, MySQL, PostgreSQL and SQL. Earn a badge upon completion.

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  <div>According to Indeed.com in August 2022, the average annual salary for Technical Support is $51,758, though it can go considerably higher. The need for technology is constantly growing, as is the job market for tech support professionals.<br /><br /></div><div>In this course you’ll get an insider’s view into IT Support work. Learn about IT Support roles and levels, the support escalation matrix, ticketing systems, common support tools, and remote support software.<br /><br /></div><div>To help you with moving into the field, the course covers tech support career opportunities and career pathways from experienced, expert Information Technology professionals. <br /><br /></div><div>By the end of this course, you will be able to:<br /> - Describe and develop a customer service and support mindset.<br /> - Explore the features and benefits of ticketing systems.<br /> - Identify support tools and systems used in technical support.<br /> - Define the levels of IT support and the escalation matrix.<br /> - Explore various tech support roles and responsibilities, including service-level agreement responsibilities.<br /> - Recognize the career paths and progression in Technical Support.<br /><br /></div><div>This course provides several real-world inspired activities to demonstrate your skills in the areas of support tools, resolving IT issues, escalations and ticketing.<br /><br /></div><div>These skills will help you engage prospective employers and ask insightful questions that demonstrate your knowledge of the day-to-day role-related responsibilities.<br /><br /><strong>Learning Objectives<br /></strong><br /></div><ul><li>Define technical support, tech support, IT support, customer support mindset, the various levels of IT support, and the escalation matrix.</li><li>Discover soft and technical skills required and opportunities available for a career in Technical Support.</li><li>Explore the features and benefits of ticketing systems.</li><li>Identify the various methodologies and frameworks popular in technical support.</li></ul><div><strong>Module 1 - Industry Professionals’ Guide to Technical Support<br /></strong><br /></div><ul><li>Module Introduction &amp; Learning Objectives</li><li>Video: Becoming a Technical Support Professional</li><li>Video: Insider Viewpoint – Background for Tech Support</li><li>Video: Career Opportunities in Technical Support</li><li>Video: Insider Viewpoint – Getting Started in Tech Support</li><li>Video: Technical Support Roles and Responsibilities</li><li>Activity: Identifying Technical Support Responsibilities</li><li>Reading: Median salary ranges (Bureau of Labor Statistics)</li><li>Video: Introduction to IT Infrastructure</li><li>Reading: Summary &amp; Highlights</li><li>Practice Quiz:  Industry Professionals’ Guide to Technical Support</li><li>Graded Quiz:  Industry Professionals’ Guide to Technical Support</li><li>Discussion Prompt: Introduce yourself </li></ul><div><br /></div><div><strong>Module 2 - Technical Support Skills and Opportunities<br /></strong><br /></div><ul><li>Module Introduction &amp; Learning Objectives</li><li>Video: Technical Support Soft Skills</li><li>Video: Insider Viewpoint – Customer  support mindset</li><li>Video: Basics of Technical Skills</li><li>Activity: Identifying Skills in Technical Support </li><li>Video: Performance Evaluation of Technical Support Professionals </li><li>Video: Career Paths and Progressions in Technical Support</li><li>Video: Insider Viewpoint - Career Paths in Tech Support</li><li>Video: Industry Certifications for Technical Support</li><li>Video: Insiders' Viewpoints - Skills for Success in Technical Support</li><li>Reading: How to Increase Your Salary as a Tech Support Professional</li><li>Summary &amp; Highlights</li><li>Practice Quiz: Technical Support Skills and Opportunities</li><li>Graded Quiz: Technical Support Skills and Opportunities</li><li>Discussion Prompt: Describe a positive customer support experience</li></ul><div><strong>Module 3 - Support Tools, Support Tiers, and Service-Level Agreements<br /></strong><br /></div><ul><li>Module Introduction &amp; Learning Objectives</li><li>Video: Overview of Support Channels</li><li>Video: Remote Support Tools</li><li>Activity: Connecting to a Computer Remotely</li><li>Reading: Future of Technical Support Tools (Emerging Trends)</li><li>Video: Insider Viewpoint – Remote Support</li><li>Video: Levels of Technical Support</li><li>Activity: Classifying Support Levels for Resolving Technical issues</li><li>Video: Service-Level Agreements (SLAs) </li><li>Video: Insider Viewpoint –  What are SLAs?</li><li>Video: The Escalation Matrix</li><li>Activity: Using an Escalation Matrix</li><li>Summary &amp; Highlights</li><li>Practice Quiz: IT Support Tiers and Service-Level Agreements</li><li>Graded Quiz: IT Support Tiers and Service-Level Agreements</li></ul><div><strong>Module 4 - Ticketing Systems<br /></strong><br /></div><ul><li>Module Introduction &amp; Learning Objectives</li><li>Video:  What are ticketing systems?</li><li>Video: A Day in the Life of a Technical Support Specialist</li><li>Video: Features and Benefits of Ticketing Systems</li><li>Activity: Exploring the Lifecycle of a Ticket</li><li>Video: Popular Ticketing Systems</li><li>Video: Insider Viewpoint – Ticketing Systems</li><li>Activity: Logging a Support Ticket </li><li>Video: Tech Support Methodologies &amp; Frameworks</li><li>Video: Effective Documentation &amp; Communication</li><li>Reading:  Cheat sheet for Logging a Ticket</li><li>Reading: Summary &amp; Highlights</li><li>Practice Quiz: Support Tools and Ticketing Systems</li><li>Graded Quiz: Support Tools and Ticketing Systems</li><li>Discussion Prompt: Technical problem-solving experiences</li></ul><div><strong>Final Hands-on Project and Quiz<br /></strong><br /></div><ul><li>Module Introduction &amp; Learning Objectives</li><li>Final Project - Working with Ticketing Systems</li><li>Final Quiz</li><li>Summary &amp; Highlights</li></ul><div><strong>Course Wrap Up<br /></strong><br /></div><ul><li>Insider Viewpoint – Tech Support: A Great Career Choice!</li><li>Thanks from the Course Team</li><li>Congrats &amp; Next Steps</li></ul><div><br /><br /></div>
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Technical Support Basics for Everyone

Gain insight into the world of IT Support with this course. Learn about career opportunities, support tools, ticketing systems, escalation matrix and more. Get the skills to excel in Technical Support and engage employers.

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  <div>Testing is one of the most critical processes of the Software Development Lifecycle (SDLC) and often contributes to preventing bugs, reducing development costs, and improving performance. Two of the best methods for testing software are Test Driven Development (TDD) and Behavior Driven Development (BDD). TDD tests individual units of code while BDD tests how these units work together.<br /><br /></div><div><br />This course introduces you to the fundamentals of both TDD and BDD, You’ll discover what automated testing is and why it is essential for building robust applications resilient to failure. You'll explore the basics of testing, including test cases, testing levels, the traditional release cycle, and the benefits, concepts and popular tools involved.<br /><br /></div><div><br />This course provides multiple real-world inspired hands-on labs to demonstrate your skills with TDD and BDD. You’ll create TDD test cases by writing test assertions and building test fixtures, and you’ll run these test cases using the Nose testing package. You’ll practice more advanced TDD methods, such as increasing code coverage, generating and using fake data, and testing mock objects. You’ll also practice setting up a BDD environment using Behave, write the feature and step files, test a web interface using Selenium, and load sample data for testing.<br /><br /></div><div><br />By the end of the course you will have the knowledge and skills to perform test driven development (TDD) and behavior driven development (BDD) testing and understand when to apply these development techniques.<br /><br /></div>
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Test and Behavior Driven Development (TDD/BDD)

This course provides the fundamentals of Test Driven Development (TDD) and Behavior Driven Development (BDD), and why it’s essential for building quality applications and preventing bugs, reducing development costs and improving performance.

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  <div>This course provides students with the basics required to create data visualizations and dashboards using both Microsoft Excel and IBM Cognos Analytics. You begin the process of telling a story about your data by creating several basic and advanced charts in Excel and learning how to add them to a digital dashboard. You then become familiar with IBM Cognos Analytics - a popular tool for data visualization and analytics – and learn how to use it to create interactive and informative dashboards. By completing this course, you will gain a basic understanding of using spreadsheets as a tool for data visualization. You will also gain the ability to create effective data visualizations, such as charts or graphs, and you will start to see how they can play a key role in the communication of your data analysis findings to interested parties. All of this can be accomplished without the need to write any code. By the end of this course you will be able to describe common dashboarding tools used by a data analyst, design and create a dashboard in a cloud platform, and begin to raise your level of confidence when creating intermediate level data visualizations.<br /><br /></div><div>The emphasis is on applied learning and hands-on practice in this course, and with each hands-on lab, you will gain further experience in the creation of basic and advanced charts and the creation of digital dashboards using both Excel and Cognos Analytics. The final assignment project will allow you to apply these newly acquired skills to create and use data visualizations and add them to a digital dashboard to fulfil a business scenario.<br /><br /></div><div>This course makes it simple to get started using Excel and Cognos Analytics to create data<br />visualizations and dashboards to help tell a story about your data, and it does not require any previous data analysis or computer science<br /><br /></div><div>experience. The course also does not require you to perform any software downloads or installations. All that is required is basic computer literacy, high-school level math, a device with a modern web browser, and the ability to use (or create) a Microsoft account to access Excel online at no-cost, and a basic understanding of Excel spreadsheets. Although the Excel hands-on labs steps are specifically related to using ‘Excel for the web’, if you already have the full desktop version of Excel, you should be able to use that to follow along quite easily with the labs.</div><div><br /><br /></div><h1>Course Outline</h1><ul><li>Basic Excel features to create charts and pivot charts</li><li>The important role charts play in telling a data-driven story</li><li>About creating advanced charts and visualizations</li><li>About the basics of dashboarding</li><li>How to create a simple dashboard using a spreadsheet</li><li>How to register for a trial of Cognos Analytics</li><li>How to create visualizations in Cognos Analytics</li><li>How to build a simple dashboard, and discover advanced features</li></ul><div><br /></div><div><br /></div><h1>General Information</h1><div>This is your place to add any additional information about your course. Feel free to mention the assessment style, a recommended timeline of events, or any other important information that a learner should know.<br /><br /></div><h1>Recommended Skills Prior to Taking this Course</h1><div>Let your learners know what technology and skills they'll need prior to starting this guided project. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.</div>
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Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.

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  <div>Despite and influx in computing power and access to data over the last couple of decades, our ability to use data within the decision-making process is either lost or not maximized all too often. We do not have a strong grasp of the questions asked and how to apply the data correctly to resolve the issues at hand.<br /><br /></div><div>The purpose of this course is to share the methods, models and practices that can be applied within data science, to ensure that the data used in problem-solving is relevant and properly manipulated to address business and real-world challenges.<br /><br /></div><div>You will learn how to identify a problem, collect and analyze data, build a model, and understand the feedback after model deployment.<br /><br /></div><div>Advancing your ability to manage, decipher and analyze new and big data is vital to working in data science. By the end of this course, you will have a better understanding of the various stages and requirements of the data science method and be able to apply it to your own work.</div><div><strong><br />Course Syllabus:</strong><br /><br /></div><div><strong>Module 1: From Problem to Approach and From Requirements to Collection</strong></div><ul><li>Video: Course Introduction</li><li>Reading: Helpful Tips for Course Completion</li><li>Reading: Syllabus</li></ul><div><strong>Lesson 1: From Problem to Approach</strong></div><ul><li>Video: Data Science Methodology Overview</li><li>Video: Business Understanding</li><li>Video: Analytic Approach</li><li>Hands-on Lab: From Problem to Approach</li><li>Reading: Lesson 1 Summary: From Problem to Approach</li><li>Practice Quiz: From Problem to Approach</li><li>Glossary: From Problem to Approach</li><li>Graded Quiz: From Problem to Approach</li></ul><div><strong>Lesson 2: From Requirements to Collection</strong></div><ul><li>Video: Data Requirements</li><li>Video: Data Collection</li><li>Hands-on Lab: From Requirements to Collection</li><li>Reading: Lesson 2 Summary: From Requirements to Collection</li><li>Practice Quiz: From Requirements to Collection</li><li>Glossary: From Requirements to Collection</li><li>Graded Quiz: From Requirements to Collection</li></ul><div><strong>Module 2: From Understanding to Preparation and from Modeling to Evaluation<br />Lesson 1: From Understanding to Preparation</strong></div><ul><li>Video: Data Understanding</li><li>Data Preparation - Concepts</li><li>Data Preparation - Case Study</li><li>Hands-on Lab: From Understanding to Preparation</li><li>Reading: Lesson 1 Summary: From Understanding to Preparation</li><li>Practice Quiz: From Understanding to Preparation</li><li>Glossary: From Understanding to Preparation</li><li>Graded Quiz: From Understanding to Preparation</li></ul><div><strong>Lesson 2: From Modeling to Evaluation</strong></div><ul><li>Video: Modeling - Concepts</li><li>Video: Modeling - Case Study</li><li>Video: Evaluation</li><li>Hands-on Lab: From Modeling to Evaluation</li><li>Reading: Lesson 2 Summary:From Modeling to Evaluation</li><li>Practice Quiz: From Modeling to Evaluation</li><li>Glossary: From Modeling to Evaluation</li><li>Graded Quiz: From Modeling to Evaluation</li></ul><div><strong>Module 3: From Deployment to Feedback</strong></div><ul><li>Video: Deployment</li><li>Video: Feedback</li><li>Video: Storytelling</li><li>Video: Course Summary</li><li>Reading: Module 3 Summary:From Deployment to Feedback</li><li>Practice Quiz: From Deployment to Feedback</li><li>Glossary: From Deployment to Feedback</li><li>Graded Quiz: From Deployment to Feedback</li></ul><div><strong>Module 4: Final Project and Assessment<br />Final Project</strong></div><ul><li>Video: Introduction to CRISP-DM</li><li>Reading: Final Assignment Overview</li><li>Peer Review: Final Assignment</li></ul><div><strong>Course Summary and Final Quiz</strong></div><ul><li>Reading: Review What You Learned</li><li>Graded Quiz: Final Quiz</li></ul><div><strong>Course Wrap Up</strong></div><ul><li>Reading: Congratulations and Next Steps</li><li>Reading: Thanks from the Course Team</li><li>Reading: IBM Digital Badge</li></ul>
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The Data Science Method

Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.

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  <div>In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data Analytics with Excel and R Professional Certificate Programs.<br /><br /></div><div>In this capstone project, you will take on the role of a data scientist who has recently joined an organization and is presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets. You will collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform exploratory data analysis with SQL, Tidyverse and ggplot2, model data with linear regression, create charts and plots to visualize the data, and build an interactive dashboard.<br /><br /></div><div>The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization.<br /><br /><strong>Course Syllabus</strong></div><div><strong>Module 1 - Capstone Overview and Data Collection</strong></div><ul><li>Capstone Overview</li><li>Data Collection Overview</li><li>Hands-on Lab: Complete the Data Collection with Web Scraping Notebook</li><li>Hands-on Lab: Complete the Data Collection with OpenWeather API Notebook</li><li>Graded Checkpoints</li></ul><div><strong>Module 2 - Data Wrangling</strong> </div><ul><li>Module Introduction and Learning Objectives</li><li>Data Wrangling Overview</li><li>Hands-on Lab: Complete Data Wrangling with Regular Expressions Notebook</li><li>Hands-on Lab: Complete Data wrangling with dplyr Notebook</li><li>Graded Checkpoints</li></ul><div><strong>Module 3 - Performing Exploratory Data Analysis with SQL, Tidyverse &amp; ggplot2</strong> </div><ul><li>Module Introduction and Learning Objectives</li><li>Hands-on Lab: Load Data into Db2 on IBM Cloud</li><li>Hands-on Lab: Complete the EDA with SQL Lab</li><li>Hands-on Lab: Complete the EDA with Data Visualization Lab</li><li>Graded Checkpoints</li></ul><div><strong>Module 4 - Building a Shiny Dashboard</strong> </div><ul><li>Module Introduction and Learning Objectives</li><li>Predict Bike-Sharing Demand Using Regression Models</li><li>Hands-on Lab: Complete the Building a Baseline Regression Model Lab</li><li>Hands-on Lab: Complete the Improving the Linear Model lab</li><li>Graded Checkpoints</li></ul><div><strong>Module 5 - Building a R Shiny Dashboard App</strong> </div><ul><li>Module Introduction and Learning Objectives</li><li>Create a R Shiny Dashboard</li><li>Hands-on Lab: Build a Bike-Sharing Demand Prediction App with R Shiny and Leaflet</li><li>Hands-on Lab: Enhance the Bike-Sharing Demand Prediction App with City Details Plots</li><li>Graded Checkpoints</li></ul><div><strong>Module 6 - Present Your Data-Driven Insights</strong></div><ul><li>Module Introduction and Learning Objectives</li><li>Elements Of A Successful Data Findings Report</li><li>Structure Of A Report</li><li>Best Practices For Presenting Your Findings</li><li>(Optional) Hands-on Lab: Getting Started With PowerPoint For The Web</li><li>(Optional) Hands-on Lab: Basics of PowerPoint</li><li>(Optional) Hands-on Lab: Save your PowerPoint Presentation as PDF</li><li>Final Submission Overview and Instructions</li><li>Exercise: Preparing Your Presentation (with provided slide template)</li><li>Peer Review: Submit your Work and Review your Peers</li></ul>
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R Data Science Capstone Project

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

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  <ul><li>Demonstrate your Python skills for solving Data Science challenges.</li><li>Scrape data from web pages using the Beautiful Soup library.</li><li>Extract and display data using Python libraries such as Pandas, Numpy and yfinance.</li><li>Create a dashboard that shows key performance indicators from a specific data set.</li></ul><div><strong><br />Course Syllabus</strong><br /><br /></div><div><strong>Module 1 - Intro to Web Scraping (optional)</strong></div><ul><li>Intro to Web Scraping</li><li>HTML for Web Scraping</li><li>Web Scraping</li><li>Hands-on Lab: Intro to Web Scraping Using BeautifulSoup </li></ul><div><strong>Module 2 - Final Project: Analyzing Stock Performance and Building a Dashboard </strong></div><ul><li>Project Overview</li><li>Stock Shares</li><li>Hands-on Lab: Extracting Stock Data Using a Python Library</li><li>Quiz: Extracting Stock Data Using a Python Library</li><li>Extracting Stock Data Using Web Scraping</li><li>Quiz: Extracting Stock Data Using Web Scraping</li><li>Tesla and GameStop Analytical Dashboard</li><li>Hands-on Lab: Create IBM Cloud account and Watson Studio instance</li><li>Jupyter Notebook to Complete Your final Project</li><li> Add notebook to Watson Studio</li><li>Analyzing Historical Stock/Revenue Data and Building a Dashboard</li><li>Hands-on Lab: Share your notebook from Watson Studio</li></ul><div><strong>Peer assignment<br /></strong><br /></div>
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Python for Data Science Project

This mini-course is intended for you to demonstrate foundational Python skills for working with data.

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  <div>You'll gain hands-on experience with critical data engineering tasks in Python Project for Data Engineering. Learn to collect data from APIs and web scraping, extract data from diverse file formats, and transform it for further analysis. You'll also log data operations to ensure transparency and reproducibility.<br /><br /></div><div>Enhance your collaborative skills by sharing your Jupyter Notebook in Watson Studio and participating in peer reviews to gain and provide constructive feedback. This module will equip you with the practical knowledge and skills to handle real-world data engineering challenges efficiently.<br /><br /><strong>Course Syllabus</strong><br /><strong>Welcome</strong></div><ul><li>General Information</li><li>Learning Objectives</li><li>Syllabus</li><li>Grading Scheme</li><li>Course Introduction</li><li>Reading: Helpful Tips for Completing this Course</li><li>Reading: Pre-requisites and Course Syllabus</li></ul><div><strong>Module 1 – Extract, Transform, Load (ETL)</strong></div><ul><li>Demo: Working with an IDE</li><li>Hands-on Lab: Getting Started with IDE</li><li>Extract, Transform, Load (ETL)</li><li>Hands-on Lab: Extract, Transform, Load (ETL)</li><li>Web scraping (Optional)</li><li>REST APIs and HTTP Requests Part 2 (Optional)</li><li>Hands-on Lab: Web scraping and Extracting Data using APIs</li><li>Reading: Querying SQLite3 database</li><li>Hands-on Lab: Accessing Databases using Python Script</li><li>Practice Quiz: Extract, Transform, Load (ETL)</li><li>Module Summary: Extract, Transform, Load (ETL)</li><li>Graded Quiz: Extract, Transform, Load (ETL)</li></ul><div><strong>Module 2 – Final Project</strong></div><ul><li>Practice Project Overview</li><li>Practice Project: Extract, Transform, and Load GDP Data</li><li>Final Project Overview</li><li>Final Project: Acquiring and Processing Information on World's Largest Banks</li><li>Graded Quiz: Final Project</li><li>Submit your Work and Grade your Peers</li><li>Congratulations and Next Steps</li><li>Thanks from the Course Team</li></ul>
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Python for Data Engineering Project

Master essential data engineering skills in this module by collecting data using APIs and web scraping, extracting data from various file formats, and transforming it for analysis. Log data operations, share your Jupyter Notebook in Watson Studio, and engage in peer reviews.

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