AI Code Generation and Prompt Engineering for Developers

Artificial intelligence is transforming how software is written, but leveraging these tools effectively requires more than just basic chat prompts. Developers who master AI-assisted coding can accelerate their workflow, debug faster, and solve complex architectural challenges with ease. This text-based course guides you through the core principles of AI code generation, helping you transition from simple code completion to sophisticated multi-file generation and automated testing. What you'll learn: - Understand the foundational mechanics of large language models and how they interpret programming syntax. - Craft precise system prompts and use few-shot prompting techniques to generate clean, production-ready code. - Integrate AI coding assistants into your development environment to automate repetitive boilerplate and refactoring tasks. - Analyze and debug AI-generated code to identify security vulnerabilities, logical errors, and performance bottlenecks. - Apply modern unit testing strategies to validate generated logic using standard testing frameworks. - Manage context windows and token limits efficiently when working with large codebases. You will start by exploring essential AI terminology and foundational prompting concepts before moving on to practical code generation, refactoring workflows, and testing strategies. Through clear written explanations and structured code analysis exercises, you will build a reliable system for AI-driven development. This course is designed for software developers of all levels who want to modernize their workflow with AI, requiring no prior experience with prompt engineering. Step into the future of software development and start writing code faster today.