Microsoft Generative and Agentic AI Basics

About this course

Build practical generative and agentic AI development skills using Microsoft Azure and Azure AI Foundry. This specialization guides you through the modern AI application lifecycle, from understanding Large Language Models (LLMs) to building intelligent AI agents and automated workflows for real-world use cases. You'll begin with the foundations of generative AI, prompt engineering, and LLM interactions in Azure. As you progress, you'll build Retrieval-Augmented Generation (RAG) pipelines, fine-tune models for domain-specific applications, and deploy scalable AI-powered solutions. The specialization also introduces AI agent development with Azure AI Foundry, where you'll design, configure, and test intelligent agents for customer and healthcare scenarios while integrating language, translation, speech, search, and vision capabilities. Through hands-on projects, you'll move from visual development tools to programmatic orchestration using Azure Functions, APIs, and Logic Apps, and learn testing strategies, deployment workflows, and enterprise AI automation techniques. By the end, you'll be able to build context-aware AI systems, orchestrate intelligent workflows, integrate external tools and APIs, and develop production-ready generative AI applications within the Microsoft ecosystem. This specialization is designed for developers and technical professionals who want to expand their AI development skills using Microsoft Azure technologies.

Course objectives

• familiarize with the foundations of AI and LLM interactions
• design, configure, and test intelligent AI agents
• learn deployment workflows for scalable AI applications
• integrate multiple external tools and APIs