This course is your complete guide to building intelligent, autonomous AI agents using Azure AI Foundry, GenAI models, and modern agentic frameworks. Whether you’re a developer, cloud engineer, or AI enthusiast, you’ll gain hands-on experience in designing agents that think, plan, and act.

We begin with the evolution of AI.
You’ll explore the types of AI agents and learn how to choose the right development platform from over 30+ options, including AutoGen, OpenAI Assistants API, and Copilot Studio.

Through practical labs and guided walkthroughs, you’ll set up your development environment and build your own AI agent using Azure AI Foundry Agent Service. Along the way, you’ll understand the key components of agentic systems: models, tools, and knowledge and how they work together to automate tasks, make decisions, and scale solutions across industries.

What You’ll learn here in the course:

The history and evolution of AI leading to Agentic AI

Types of AI agents and their real-world use cases

How to choose the right agent development platform

Deep dive into Azure AI Foundry and its GenAI models

Core components of AI agents: models, tools, and knowledge

How to build and deploy AI agents using Azure Foundry Agent Service

Use cases across productivity, research, sales, customer service, and more

Hands-On Labs:

Setting up Azure AI Foundry, VS Code, Python, and CLI tools

Building your first AI agent with Azure Foundry Agent Service

Comparing LLMs, SLMs, and reasoning models for different tasks

Who this course is for:

• Developers and IT professionals looking to build autonomous AI agents for workflow automation
• AI enthusiasts and learners
• Technical content creators and educators
• Anyone curious about Agentic AI