Generative AI for Software Development

Software development is evolving rapidly as generative models change how code is written, tested, and deployed. This course provides a clear path for developers to transition from traditional coding to an AI-assisted workflow, ensuring you remain competitive in a shifting industry. You will gain a solid understanding of how to leverage modern models to solve complex problems, automate repetitive tasks, and architect smarter software. By the end of this course, you will be able to confidently incorporate generative tools into your daily programming routines. What you'll learn: - Understand the core concepts of Large Language Models and how they process programming languages. - Apply prompt engineering techniques specifically designed for generating, refactoring, and debugging code. - Practice building basic applications that utilize API-based generative services for text and code generation. - Explore the fundamentals of Retrieval-Augmented Generation (RAG) to provide models with specific context. - Implement secure coding practices and evaluate the reliability of AI-generated suggestions. - Use AI assistants to streamline unit testing and technical documentation. The course begins with essential terminology and the foundational mechanics of generative models before moving into practical implementation strategies and modern architectural patterns. You will follow written explanations and code snippets to build your knowledge step-by-step. This course is designed for developers who are new to AI and want to modernize their skillset. No prior experience with machine learning or data science is required. Start your journey into the future of software engineering today.