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Generative AI Skills for Software Developers

Premium
Intermediatecourse

Generative AI is transforming software development. If you're planning or building a career as a software developer, you need generative AI skills for the modern development environment. This course gets you started with the skills that you need. You'll leverage AI-powered tools and algorithms and learn how to use generative AI models to automate software development processes, including code generation, design and architectures, bug detection, and optimization.

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Social Sciences

Skills You Will Learn

  • Generative AI, Artificial Intelligence, Software Development, LLM

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 17 hours

Platform

  • SkillsNetwork

Last Update

  • September 1, 2024
About This course
In this course, learn how AI impacts software development. You'll understand how to leverage AI for the software development lifecycle using various tools and algorithms and set up a development environment for AI and ChatGPT. You also learn about large language models (LLM), transformers, and natural language processing (NLP) and use them to create a chatbot. 

You explore the best practices and design patterns using AI for technical help and software architecture. You learn how AI helps with code generation, bug detection, and troubleshooting, and see how to leverage AI to generate static websites and architecture diagrams.

Module 2 explains how to use AI for DevSecOps, software testing, and Generative AI considerations. You learn the nuances of using AI for CI/CD and software security using AI tools as well as how to generate test cases for specific use cases using AI. You also understand the integration of AI into software development workflows. Finally, you explore the ethical considerations for software development in AI and innovation with Generation AI. You will explore some of the useful prompts for software testing and DevOps. 

Course Syllabus

Module 1: Generative AI and Software Development
  • Software Development and Generative AI
  • Generative AI for Software Coding and Architecture
Module 2: Generative AI for Software Development Workflows and its Considerations
  • Generative AI for DevSecOps and Testing
  • Generative AI Considerations
Module 3: Final Project and Final Exam

Recommended Skills Prior to Taking this Course

To follow this course, a knowledge of software processes and programming language is required.

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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