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Mastering Generative AI for Software Development

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IntermediateCourse

Build job-ready AI skills for software development, automate coding, optimize design, detect bugs, and create AI-powered solutions while considering ethics. 

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Information Technology

Enrollment Count

  • 265

Skills You Will Learn

  • Artificial Intelligence, Generative AI, AI Prompts, Software Development, Code Generation, Software Engineering

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 17 hours

Platform

  • edX

Last Update

  • August 10, 2025
About this Course
Do you want to enhance your software development career by leveraging the power of generative AI? This course explores the transformative applications of generative AI across the entire software development lifecycle. 

The course teaches how generative AI-based tools enable code generation, scripting, and program creation, boosting developer productivity and automating repetitive tasks. You will learn how to train and fine-tune these models for specific software development needs, from generating custom code snippets to creating intelligent applications. 

You will gain hands-on experience building static websites and prototypes using AI, accelerating the design process and fostering innovation. The course covers techniques for AI-assisted design and architecture, allowing you to explore new creative possibilities and optimize software structure. 

You will also discover how generative AI can be used for bug detection, code refactoring, and program optimization, leading to improved code quality and maintainability. The course provides insights into the ethical considerations, challenges, and limitations of using generative AI in software development, emphasizing responsible AI practices. 

Build a standout portfolio with hands-on labs and real-world projects, applying generative AI to real software development scenarios. From AI-powered features to streamlined workflows, you'll gain the practical experience employers demand. Plus, you'll learn to evaluate the impact of generative AI, preparing you for the future of software engineering. Enroll now and future-proof your career!  

Job-ready AI-powered software development skills in less than 1 month, plus you’ll get practical experience How to generate code snippets, scripts, and programs using generative AI models, automating development tasks Hands-on experience training and fine-tuning generative AI models for software development needs, creating custom solutions How to create static websites and prototypes using AI, accelerating design and development processes.

Learning Objectives

  • Job-ready AI-powered software development skills in less than 1 month, plus you’ll get practical experience  
  • How to generate code snippets, scripts, and programs using generative AI models, automating development tasks  
  • Hands-on experience training and fine-tuning generative AI models for software development needs, creating custom solutions  
  • How to create static websites and prototypes using AI, accelerating design and development processes  

Course Syllabus

Module 0: Welcome  
  • Video: Course Introduction  
  • Reading: General Information  
  • Reading: Learning Objectives and Syllabus  
  • Reading: Grading Scheme  
Module 1: Generative AI and Software Development  
  • Reading: Module Introduction and Learning Objectives  
  • Video: Introduction to Generative AI in Software Development  
  • Video: Meet Your Experts  
  • Video: Gen AI in Software Development  
  • Video: Leveraging Generative AI in Software Development Lifecycle  
  • Video: Large Language Models (LLM) and Transformers  
  • Video: Natural Language Processing (NLP) and Its Significance  
  • Reading: Popular Tools of Generative AI for Software Development  
  • Lab: OpenAI Account Setup and API Key Generation  
  • Optional Lab: Setting Up the Development Environment Using Visual Code Studio  
  • Lab: Building a Basic Chatbot using ChatGPT  
  • Lab: Get Familiar with Generative AI Classroom  
  • Video: Leveraging AI for Technical Help and Best Practices on Design Patterns and Architecture  
  • Video: AI for Coding and Development  
  • Lab: Generate Database Design with ChatGPT  
  • Lab: Get a Solution to the Given Coding Problem  
  • Demo Video: GitHub CoPilot for Code Generation and Troubleshooting  
  • Generating Static Website using Generative AI  
  • Demo Video: Generating Prototypes with Generative AI  
  • Reading: Generating Architecture and Design Diagrams Using Generative AI  
  • Demo Video: Generating Architecture and Design Diagrams Using Generative AI  
  • Reading: Managing Legacy Code with Gen AI  
  • Video: Gen AI for Technical Help and Software Architecture  
  • Module 1 Practice Quiz: Generative AI and Software Development  
  • Module 1 Summary: Generative AI and Software Development  
  • Reading: Useful Prompts for Software Design and Development  
  • Module 1 Graded Quiz: Generative AI and Software Development  
  • Optional Reading Setting Up Your Own AI Development Environment with ChatGPT  
Module 2: Generative AI for Software Development Workflows and its Considerations  
  • Reading: Module Introduction and Learning Objectives  
  • Video: Introduction to CI/CD Using AI  
  • Video: Gen AI for CI/CD Tools  
  • Lab: Write a Dockerfile for a Node App Deployment  
  • Video: Generative AI for Security in Software  
  • Video: Popular Generative AI Tools for Security in Software  
  • Video: Generative AI for Software Testing  
  • Lab: Generate Test Cases for Specific Use Case Using Generative AI  
  • Video: Integration of Generative AI Into Software Development Workflows  
  • Lab: Software Documentation Using Chat GPT  
  • Lab: Review Code with Generative AI  
  • Reading: Module Introduction and Learning Objectives  
  • Video: Introduction to CI/CD Using AI  
  • Video: Gen AI for CI/CD Tools  
  • Lab: Write a Dockerfile for a Node App Deployment  
  • Video: Generative AI for Security in Software  
  • Video: Popular Generative AI Tools for Security in Software  
  • Video: Generative AI for Software Testing  
  • Lab: Generate Test Cases for Specific Use Case Using Generative AI  
  • Video: Integration of Generative AI Into Software Development Workflows  
  • Lab: Software Documentation Using Chat GPT  
  • Lab: Code Translation Using Generative AI  
  • Lab: Review Code with Generative AI  
  • Reading: Considerations for Software Development for Generative AI  
  • Reading: Ethical Considerations for Using Generative AI in Software Development  
  • Video: Ethical Considerations for Software Development in AI  
  • Video: Innovation with Generative AI in Software Development  
  • Module 2 Practice Quiz: Generative AI for Software Development Workflows and Its Considerations  
  • Module 2 Cheatsheet: Generative AI for Software Development Workflows and its Considerations  
  • Module 2 Summary: Generative AI for Software Development Workflows and its Considerations  
  • Module 2: Generative AI for Software Development Workflows and its Considerations  
Module 3: Final Project  
  • Final Project: Pre-Work  
  • Reading: Final Project Overview  
  • Final Project: CodeCraftHub: Building Personalized Learning for Developers  
Module 4: Final Exam  
  • Final Exam: Generative AI for Software Developers  
Module 5: Course Wrap-Up  
  • Reading: Enhancing Your Software Developer Career with Generative AI  
  • Video: Wrap-up  
  • Reading: Congratulations and Next Steps  
  • Reading: Thanks from the Course Team  
  • Copyrights and Trademarks  

Recommended Skills Prior to Taking this Course

To get the most out of this course, you should have a working knowledge of Python and JavaScript and familiarity with software development processes.  

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Ramanujam Srinivasan

Chief Architect

With over 24 years of experience, I have effectively led technology and architecture teams, driving digital transformation and business growth for Fortune 500 companies. My expertise includes managing strategic consulting engagements and implementing large-scale solutions that have achieved annual contract values between $10M and $300M, particularly in turnaround scenarios. As an engineering leader, I guide cross-functional teams in deploying distributed solutions across various domains, including Cloud, AI/ML, eCommerce, Microservices, DevSecOps, legacy modernization, performance optimization, Generative AI, and Machine Learning. I prioritize building exceptional technology teams by mentoring and inspiring top technical talent, fostering a culture of rapid innovation and collaboration. I serve as a trusted advisor, nurturing long-term relationships with C-Level executives and stakeholders to drive the implementation of strategic technology initiatives. My approach combines a big-picture perspective with attention to detail, providing hands-on guidance for creating highly scalable and efficient solutions. I assist in developing minimum viable products (MVPs), evaluating products, enabling developers, and advocating for open-source technologies. As an innovation catalyst, I lead the ideation and Go-to-Market strategies for intellectual property solutions that leverage cloud services, data analytics, and AI/ML to provide strategic advantages to enterprise customers. Additionally, I have authored successful technology courses on Coursera covering topics such as Microsoft security, front-end and back-end development, DevOps, and Generative AI, positively impacting over 70,000 learners.

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