Introduction to Generative AI and Agents in Azure

Generative AI is transforming how we build software, and cloud-based AI agents are at the forefront of this revolution. This course helps you navigate Azure's powerful ecosystem to design, deploy, and manage your own intelligent AI solutions. You will transition from understanding basic AI concepts to designing functional, autonomous agents that can reason, plan, and execute tasks. Through step-by-step written explanations and practical code examples, you will learn how to harness large language models and integrate them into secure, scalable workflows. What you'll learn: - Understand the core principles of generative AI, large language models, and agentic workflows. - Configure and deploy generative AI models securely within the Azure environment. - Build autonomous agents that can call tools, access external data, and complete multi-step tasks. - Apply retrieval-augmented generation patterns to ground your models in custom datasets. - Implement responsible AI practices to ensure safe, ethical, and reliable model outputs. The course starts with foundational AI terminology and core definitions before guiding you through model selection, prompt engineering, and the architecture of multi-agent systems. You will finish with a clear blueprint for orchestrating intelligent workflows in the cloud. This course is designed for beginners, developers, and cloud enthusiasts who want to start building with AI on Azure, with no prior machine learning experience required. Start reading today to unlock the potential of cloud-powered AI agents.