Generative AI for Software Engineering and Automation

Software engineering is evolving rapidly with the rise of artificial intelligence, changing how we write, debug, and maintain code. To stay competitive, modern developers must learn how to collaborate with AI tools effectively. This text-based course guides you from the absolute basics of generative AI to building automated development workflows. You will transition from manual coding practices to an AI-assisted development paradigm, learning how to leverage AI agents and prompt engineering to write cleaner code faster. What you'll learn: - Understand the foundational concepts of generative AI, large language models, and their role in modern software development - Master prompt engineering techniques specifically tailored for generating, refactoring, and debugging code - Configure AI agents and automated workflows to handle repetitive software engineering tasks - Apply modern testing practices, using AI assistance to generate robust test suites with frameworks like pytest - Design secure and maintainable software by understanding the limitations, biases, and security risks of AI-generated code You will start with essential terminology and the mechanics of large language models before moving into practical code generation, prompt design, and agent-based automation. The material concludes with best practices for testing, security, and integrating these tools into your daily development environment. This course is designed for beginner developers and software engineers looking to modernize their workflow. No prior experience with generative AI is required, though a basic understanding of programming concepts is helpful. Start reading today to transform your development workflow with the power of generative AI.