Coding with ChatGPT: Practical AI-Assisted Development

Harnessing AI to write and understand code is one of the most valuable skills for modern software development. This text-based course provides a structured pathway to using ChatGPT effectively across the entire development lifecycle. You will start with core concepts of large language models, structured prompting patterns, and context management before progressing to practical coding workflows. By following clear written explanations and focused code examples, you will learn how to turn natural language specifications into working code, troubleshoot tricky errors, and build robust software solutions. What you'll learn: - Understand foundational AI concepts and prompt engineering techniques specific to software engineering - Generate functional code across multiple programming languages from clear specifications - Debug syntax errors, runtime exceptions, and logic bugs with guided AI explanations - Refactor code to improve readability, maintainability, and modern standard adherence - Create comprehensive unit test suites to validate logic and improve test coverage - Apply verification strategies and security best practices to catch hallucinations and logic flaws The course begins with foundational terminology and prompt structuring before moving through iterative development, code reviews, and architectural planning. Designed specifically for beginners and developers exploring AI tools, no prior experience with generative AI is required. Step through the reading-based lessons at your own pace and enhance your programming workflow with ChatGPT.