Generative AI for Software Engineering and Modern Design

AI is transforming how software is built, but writing great code requires knowing how to collaborate effectively with intelligent models. This text-based course helps you integrate generative AI tools into your daily development workflow to write, debug, and design software more efficiently. You will transition from manual coding to AI-assisted software engineering, learning how to guide AI models to produce high-quality, secure, and maintainable software. What you'll learn: Understand the foundational concepts of generative AI and how large language models interpret and generate code. Apply advanced prompt engineering techniques to generate precise, functional code snippets and system boilerplate. Refactor and debug existing codebases using AI-driven analysis to improve performance and readability. Design software architectures and system components by drafting structured prompts and iterating on AI-generated designs. Analyze security risks and privacy concerns when using AI tools, keeping your codebase safe and compliant. Integrate AI assistants into modern development environments to automate routine coding tasks and documentation. The course begins with core terminology and foundational concepts of generative AI in development before moving into practical prompting strategies, debugging workflows, and architectural design principles. This course is designed for beginner developers and software engineers looking to modernize their workflows; no prior AI experience is required. Start reading today to build smarter software with the power of generative AI.