Developing Generative AI Applications with Vertex AI

Are you ready to harness the power of artificial intelligence to build next-generation applications? This text-based course guides you through the core concepts of generative AI and teaches you how to implement them using cloud-based AI tools. You will transition from understanding basic machine learning terminology to deploying fully functional generative AI applications. By reading through practical explanations and analyzing real-world code snippets, you will learn how to leverage large language models, structure prompts effectively, and integrate AI capabilities into your software projects. What you'll learn: Understand foundational generative AI concepts, neural networks, and large language models; Configure and call generative models using Vertex AI and cloud APIs; Apply modern prompt engineering techniques to optimize model outputs for specific tasks; Design retrieval-augmented generation (RAG) patterns to connect models with external data sources; Implement vector databases to store and query high-dimensional embeddings; Deploy and monitor generative AI applications securely within a cloud environment. This course begins with essential definitions and core architectures before moving into step-by-step guides on API integration, prompt design, and application architecture. You will learn entirely through clear written explanations, structured code examples, and theoretical walkthroughs designed for easy comprehension. This course is designed for software developers, system architects, and technology enthusiasts who are new to AI and want to build cloud-based generative applications. No prior machine learning background or advanced mathematics is required. Start reading today to begin building intelligent applications on the cloud.