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. 

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