Generative AI for Modern Software Engineering

Software development is evolving rapidly as AI tools become a standard part of the modern engineering toolkit. Understanding how to leverage these technologies is essential for building efficient, high-quality software in a competitive landscape. In this course, you will learn how to use generative AI throughout the entire software development lifecycle, from initial design to deployment and maintenance. You will move beyond simple chat interfaces to understand how these models can be integrated directly into your professional workflow to solve real-world problems. What you'll learn: - Master prompt engineering techniques specifically tailored for generating, refactoring, and explaining complex code. - Apply AI tools to automate unit testing, identify security vulnerabilities, and generate comprehensive documentation. - Understand the fundamentals of integrating Large Language Models (LLMs) into applications using modern patterns like Retrieval-Augmented Generation (RAG). - Practice optimizing code performance and architectural design through AI-driven analysis. - Implement AI-assisted workflows within DevSecOps and continuous integration pipelines. - Design intelligent systems that leverage vector databases for enhanced data retrieval. The course begins with essential AI terminology and foundational concepts before progressing to practical written exercises focused on coding, debugging, and system architecture. You will read clear explanations and analyze code snippets to solidify your understanding of modern AI-driven development. This course is designed for beginners and developers who want to stay current with industry trends; no prior experience with artificial intelligence is required. Start building the next generation of AI-enhanced software today.