Getting Started with Generative AI in Azure

Generative artificial intelligence is reshaping how we build software, but getting started with cloud-based AI tools can feel overwhelming. This course provides a clear, step-by-step introduction to developing intelligent applications on Azure without needing a background in data science. By reading through our structured explanations and text-based walkthroughs, you will transition from an absolute beginner to confidently navigating cloud-based AI environments. You will understand how generative models function, how to interact with them effectively, and how to integrate them into cloud applications. What you'll learn: Understand the core concepts of generative AI and how it differs from traditional machine learning; Navigate Azure AI Foundry to manage models, deployments, and security; Apply foundational prompt engineering techniques to guide model outputs reliably; Explore Retrieval-Augmented Generation (RAG) and vector search concepts for grounding model responses; Configure and test language models using cloud-based playgrounds and APIs; Understand ethical AI principles and content filtering configurations in cloud environments. The course begins with essential AI terminology and foundational cloud concepts before moving into structured text guides on prompt design and basic application architecture. You will follow logical written explanations that build your skills from the ground up. This course is designed for aspiring AI engineers, developers, and technology enthusiasts who are new to Azure and generative AI. No prior programming or cloud experience is required to begin. Start your journey into cloud-hosted artificial intelligence today.