Building Generative AI Applications on Cloud Platforms

Generative AI is transforming how we interact with software, opening up possibilities for highly personalized and intelligent user experiences. If you want to build modern applications that leverage the power of large language models, understanding how to deploy these technologies on cloud platforms is essential. This text-based course guides you through the process of designing, building, and deploying generative AI applications. You will transition from understanding core AI concepts to implementing practical solutions that connect language models to real-world data. What you'll learn: Understand the foundational concepts of large language models (LLMs) and cloud-based AI APIs; Apply prompt engineering techniques to guide model behavior and improve application accuracy; Configure Retrieval-Augmented Generation (RAG) to connect AI models with external data sources; Integrate vector databases to enable efficient semantic search within your applications; Design secure and scalable application architectures tailored for generative AI workloads; Practice implementing API-driven workflows to orchestrate multi-step AI tasks. You will begin by exploring core terminology and foundational cloud AI services before moving on to step-by-step written guides for building and structuring your first generative AI application. This course is designed for software developers and technology enthusiasts who are new to AI integration and want a clear, conceptual path forward without complex prerequisites. Start reading today to unlock the potential of intelligent application development.