AI-Assisted Software Engineering: Build and Code with Generative AI

Software development is evolving rapidly with the rise of artificial intelligence. To stay ahead, developers must learn how to collaborate with AI tools to write cleaner code faster and build applications that leverage generative models. This text-based course guides you through the fundamentals of AI-assisted engineering. You will transition from traditional coding practices to modern, AI-augmented workflows, learning how to write effective prompts for code generation, debug with AI assistance, and connect your applications to large language models. What you'll learn: - Understand the foundational concepts of generative AI and how large language models process code. - Write precise developer prompts to generate, refactor, and document code efficiently. - Integrate generative AI APIs into your applications to add smart features like text generation and summarization. - Apply modern debugging and testing workflows using AI assistants to identify and resolve software bugs. - Explore retrieval-augmented generation (RAG) basics to connect AI models to your own custom data sources. - Implement security best practices when handling AI-generated code and API keys. The course begins with essential terminology and the foundational mechanics of generative models. You will then progress through step-by-step written explanations and detailed code snippets that demonstrate how to implement AI-driven workflows and API integrations in real-world scenarios. This course is designed for beginner developers and software enthusiasts who want to modernize their coding toolkit. No prior experience with AI or machine learning is required, though a basic understanding of programming concepts is helpful. Start reading today to transform your development process and build smarter applications.