Fundamentals of AI-Assisted Development

Modern development relies on speed and efficiency. Learn the foundational skills needed to harness large language models (LLMs) and AI code assistants to transform how you write software. This course provides a structured introduction to AI-assisted coding, moving beyond simple autocomplete to using tools for complex refactoring, documentation, and integration tasks. You will gain practical methods for leveraging LLMs to handle repetitive tasks and focus on higher-level problem-solving. What you'll learn: * Understand the core concepts behind LLMs, code generation, and the AI tools currently available in the market. * Master effective prompt engineering techniques specifically tailored for code generation, explanation, and debugging. * Configure and utilize popular AI assistants like GitHub Copilot and Claude Code for daily development tasks. * Apply workflow integration patterns for seamlessly incorporating AI tools within standard development environments. * Practice using advanced orchestration frameworks to connect LLMs to external data sources (Retrieval-Augmented Generation basics). The curriculum begins with essential terminology and ethical considerations, progressing through practical exercises on optimal prompting and workflow integration. We conclude by exploring advanced techniques for tool chaining and automation using LLM frameworks. This course is designed for programmers and developers who are new to using AI code assistants. No prior experience with specific LLMs or AI frameworks is required, but basic programming literacy is assumed. Start accelerating your development process today by mastering these essential AI tools.