Efficient Programming with AI: Coding and Debugging with LLMs

Writing code efficiently is no longer just about memorizing syntax; it is about knowing how to collaborate with modern artificial intelligence. This text-based course guides you through integrating large language models (LLMs) into your daily development workflow to write cleaner code in less time. You will transition from manual coding to an AI-accelerated workflow, learning how to write effective prompts, generate boilerplate code, and troubleshoot errors using AI assistance. What you'll learn: Understand the foundational concepts of Large Language Models and how they interpret programming tasks; Formulate precise prompts to generate clean, functional code across multiple programming languages; Explain complex code snippets and refactor legacy code using structured AI inquiries; Debug syntax errors and logical flaws efficiently with targeted AI troubleshooting techniques; Apply security best practices and understand the privacy implications of sharing code with AI models; Integrate AI assistance into modern local development environments and version control workflows. We begin with the core terminology of AI-assisted development before moving into practical prompting strategies and real-world debugging workflows. You will read structured explanations, analyze comparative code examples, and practice through written exercises. This course is designed for beginning developers and software enthusiasts who want to optimize their workflow. No prior experience with AI tools is required. Start learning today and unlock a faster, smarter way to write code.