AI Agentic Design Patterns with AutoGen

About this course

Learn to build intelligent, autonomous agents that can reason, collaborate, and act—powered by Microsoft's AutoGen framework. This DeepLearning.AI course teaches you how to design multi-agent systems where AI agents work together to solve complex problems, execute code, and maintain natural conversations without constant human intervention. If you're curious about where AI is heading, this course shows you the practical patterns behind some of the most exciting applications today.

What you'll learn

• Core agentic design patterns—when and how to use single agents, multi-agent workflows, and agent hierarchies
• How to build conversational agents that can understand context and respond intelligently
• Code execution within agents—letting AI write, test, and debug code autonomously
• Multi-agent collaboration—designing systems where agents communicate, delegate tasks, and solve problems together
• Practical use of AutoGen to set up agents, define roles, and orchestrate workflows
• Real-world trade-offs—cost, latency, reliability, and when to use which pattern
• Hands-on coding examples you can adapt for your own projects

Who this is for

You're someone who wants to move beyond chatbots and explore how AI can operate independently. Whether you're building products, researching AI capabilities, or just want to stay ahead of the curve, this course gives you the mental models and code patterns you need.

• Software engineers and developers—gain production-ready patterns for building autonomous systems and AI-powered applications
• AI and machine learning practitioners—deepen your understanding of agent design and multi-agent orchestration beyond theory
• Product managers and founders—learn what's possible with agentic AI so you can design better products and pitch with confidence
• Researchers and students—explore cutting-edge agent patterns and strengthen your portfolio with real implementation experience

Prerequisites

Basic familiarity with Python and how APIs work. You don't need to be an AI researcher—comfort with code and curiosity about how systems interact is enough to follow along.

Why this matters for Indian learners

India's tech sector is racing to adopt AI, and agent-based systems are becoming a competitive edge in startups and enterprises alike. Companies like Infosys, TCS, and emerging AI startups are already building agentic workflows for customer service, code generation, and business automation. Learning these patterns now positions you ahead of the curve—whether you're aiming for roles at large tech firms, AI-first startups, or building your own product. Autonomous agents are less about replacing jobs and more about multiplying what skilled engineers can do, making this skillset increasingly valuable in India's AI economy.

Frequently asked questions

Is this course really free?

Yes, completely free. No hidden costs, no paid certificate upgrade required. Just sign up and start learning.

How long will it take to complete?

About 1 hour of instructional content. Most learners finish in a couple of sittings, though you'll want extra time to experiment with the code examples and build something of your own to really cement the concepts.

Will I get a certificate?

This course doesn't offer a completion certificate. That said, the real value is in what you build and what you can do—so consider creating a small project using AutoGen and sharing it on GitHub as your proof of learning.