Generative AI for Code Generation and Software Development

Generative AI is changing how software is built, making code generation and refactoring more accessible than ever. This course helps you leverage AI tools safely and effectively to accelerate your development workflow. You will transition from manually writing every line of code to collaborating with AI assistants. Through clear written explanations and practical code examples, you will learn how to draft functions, generate tests, and refactor existing code while ensuring security and quality. What you'll learn: - Learn the foundational concepts of generative AI models optimized for code generation. - Apply structured prompt engineering techniques to generate precise, functional code snippets. - Practice refactoring and debugging legacy code using AI-driven suggestions. - Create comprehensive unit tests to validate AI-generated code and maintain software reliability. - Understand the security implications, bias, and licensing considerations of AI-assisted coding. - Configure your development mindset to review and audit AI output for syntax and logic errors. The course starts with basic terminology and how large language models interpret programming languages. You will then progress to practical scenarios, learning how to write effective prompts, generate tests, and safely integrate AI assistants into your daily coding routine. This course is designed for beginners, junior developers, and tech enthusiasts who want to understand AI-assisted software development. No prior experience with generative AI is required, though a basic familiarity with programming concepts is helpful. Start reading today to build smarter, faster, and more secure software with the help of generative AI.