What Will You Learn?
Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications. Implement agentic design patterns: Reflection, Tool use, Planning, and Multi-agent collaboration using AutoGen."Testing1"
About This Course
Provider: DeepLearning.AI
Format: Online
Duration: 1 hour 25 minutes to complete [Approx.]
Target Audience: Beginner level
Learning Objectives: In this course, you’ll learn how to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen, a framework that enables the development of LLM applications using multi-agents.
Assessment and Certification: NA
Instructor: Chi Wang and Qingyun Wu.
Course Prerequisites: Basic Python coding experience.
Key Topics: By the end of the course, you’ll have hands-on experience with AutoGen’s core components and a solid understanding of agentic design patterns. You’ll be ready to effectively implement multi-agent systems in your workflows.
Topic Covered:
- Multi-Agent Conversation and Stand-up Comedy
- Sequential Chats and Customer Onboarding
- Reflection and Blogpost Writing
- Tool Use and Conversational Chess
- Coding and Financial Analysis
- Planning and Stock Report Generation
- Conclusion
- Quiz
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