Programming with Generative AI: Modern Developer Workflows

The way we write software is changing rapidly, and integrating artificial intelligence into your coding workflow is a powerful skill. This course introduces you to the fundamentals of programming alongside generative AI, showing you how to turn natural language prompts into clean, functional code. You will transition from a traditional coding mindset to an AI-assisted development workflow. By understanding how language models generate code, you will learn to write precise instructions, debug errors faster, and automate repetitive tasks safely and securely. What you'll learn: - Understand the foundational concepts of generative AI and how language models interpret programming tasks - Master prompt engineering techniques specifically tailored for code generation, refactoring, and translation - Debug complex programming errors and interpret stack traces with the help of AI assistants - Generate automated test suites using modern frameworks to ensure code reliability - Apply security best practices to protect sensitive data when using AI tools - Optimize and document existing codebases efficiently through structured AI queries The course begins with key terminology and the foundational mechanics of code-generation models. From there, you will progress through practical text-based explanations and code examples covering prompt design, code translation, debugging strategies, and secure development practices. This course is designed for beginner developers, students, and tech enthusiasts who want to modernize their coding habits. No prior experience with artificial intelligence is required. Start reading today to elevate your programming skills and build software faster with the power of generative AI.