Building AI Agents & Agentic AI System via Microsoft Autogen

Welcome to **Building AI Agents and Agentic AI Systems Using AutoGen**, a hands-on, project-driven course designed to help you master the future of intelligent software: Agentic AI. As large language models (LLMs) become more powerful, the next evolution is enabling them to work collaboratively through AI agents—and this course is your complete guide to making it happen using Microsoft's AutoGen framework. Whether you're a data scientist, ML engineer, AI researcher, or product builder, this course will take you step-by-step into the world of multi-agent AI systems. You’ll learn to design, build, and deploy AI agents that can autonomously plan, reason, and execute complex tasks by communicating with each other and interacting with external tools. This **Building AI Agents & Agentic AI System via Microsoft Autogen course** is project-focused—you won’t just learn the theory, you’ll build powerful agentic AI applications from scratch. You’ll understand how to design autonomous AI teams that mirror human workflows, assign responsibilities, communicate efficiently, and adapt to dynamic tasks. We’ll also compare AutoGen with other orchestration frameworks like LangChain and CrewAI, giving you a well-rounded perspective of what tools to use and when.By the end of this Building AI Agents & Agentic AI System via Microsoft Autogen course, you will have the confidence and skills to build, scale, and deploy AI agent ecosystems that can reason, act, and collaborate just like teams of humans—powered by the latest advancements in AutoGen and Agentic AI.

What you'll learn:

• Understand the fundamentals of agentic AI and how autonomous agents interact using the Microsoft AutoGen framework.
• Set up and configure AutoGen to build AI systems with multiple collaborative agents.
• Design and implement custom agents that perform tasks like coding, reasoning, and decision-making.
• Build and deploy real-world multi-agent workflows that automate complex tasks end-to-end.