Building Generative AI Applications on Google Cloud

Generative artificial intelligence is transforming how we build software, enabling applications to understand, reason, and generate human-like text. This course guides you through the process of building your own AI-driven applications using the powerful suite of tools available on Google Cloud. You will transition from understanding basic cloud concepts to deploying functional generative AI applications. By reading through structured explanations and analyzing real-world code snippets, you will gain the confidence to integrate advanced language models into your software projects. What you'll learn: Understand foundational generative AI concepts and the architecture of large language models; Configure Vertex AI services to access, test, and tune foundational models; Apply prompt engineering techniques to guide model behavior and improve output quality; Implement Retrieval-Augmented Generation (RAG) patterns to connect models with external data sources; Explore the role of vector databases in managing and retrieving high-dimensional data; Deploy secure and scalable AI application backends on Google Cloud. The course begins with core terminology and architectural definitions before moving into API integration, prompt design, and data grounding. You will progress systematically through written explanations and conceptual code walkthroughs that demonstrate how to assemble these components into a cohesive application. This course is designed for software developers, technical product managers, and cloud enthusiasts who are new to artificial intelligence. No prior machine learning experience is required, though a basic familiarity with programming concepts is helpful. Start reading today to begin building the next generation of intelligent cloud applications.