Building Generative AI Applications on Cloud Platform

Generative artificial intelligence is transforming how we build software, but getting started with cloud-based AI tools can feel overwhelming. This course simplifies the process, showing you how to harness powerful language models to build smart, responsive applications. You will transition from understanding basic AI concepts to successfully constructing and deploying your own generative AI applications. Through clear, step-by-step written explanations, you will learn how to integrate modern AI APIs, manage prompts, and leverage cloud infrastructure to power intelligent user experiences. What you'll learn: Understand foundational generative AI concepts, model architectures, and cloud-based AI ecosystems; Configure and call foundational large language models using cloud APIs; Apply effective prompt engineering techniques to guide model behavior and outputs; Implement retrieval-augmented generation (RAG) patterns using vector databases for context-aware applications; Design conversational interfaces and search applications powered by generative models; Deploy and monitor your AI applications securely on modern cloud infrastructure. The course begins with essential terminology and core AI concepts before guiding you through hands-on code examples and architectural patterns. You will progress from simple API calls to building a complete, context-aware generative application. This course is designed for software developers, technical product managers, and technology enthusiasts who are new to generative AI. No prior experience with machine learning or AI models is required, though a basic understanding of programming concepts is helpful. Start your journey into the future of software development and build your first intelligent cloud application today.