๐ก Welcome to the "AI Agentic Design Patterns with AutoGen" course! The course will equip you with the knowledge and skills to build and customize multi-agent systems using AutoGen.
In this course, you'll explore key principles of designing multi-agent systems and enabling agents to collaborate on complex tasks using the AutoGen framework. Here's what you can expect to learn and experience:
- ๐ญ Conversational Agents: Create a two-agent chat showing a conversation between two standup comedians using โConversableAgent,โ a built-in agent class of AutoGen.
- ๐ Customer Onboarding: Develop a sequence of chats between agents to provide a fun customer onboarding experience for a product using the multi-agent collaboration design pattern.
- ๐ Blog Post Creation: Use the agent reflection framework to create a high-quality blog post with nested chats, where reviewer agents reflect on the blog post written by another agent.
- โ๏ธ Chess Game: Implement a conversational chess game where two agent players can call a tool and make legal moves on the chessboard using the tool use design pattern.
- ๐ป Coding Agent: Develop a coding agent capable of generating the necessary code to plot stock gains for financial analysis and integrating user-defined functions into the code.
- ๐ Financial Analysis: Create systems where agents collaborate and seek human feedback to complete a financial analysis task, generating code from scratch or using user-provided code.
By the end of the course, youโll have hands-on experience with AutoGenโs core components and a solid understanding of agentic design patterns, ready to implement multi-agent systems in your workflows.
- ๐ ๏ธ Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.
- ๐ Implement agentic design patterns such as Reflection, Tool Use, Planning, and Multi-agent Collaboration using AutoGen.
- ๐ Learn directly from the creators of AutoGen, Chi Wang and Qingyun Wu.
๐ Chi Wang is a Principal Researcher at Microsoft Research, bringing extensive expertise in AI and multi-agent systems to guide you through this course.
๐ Qingyun Wu is an Assistant Professor at Penn State University, specializing in AI and multi-agent collaboration, to help you master agentic design patterns.
๐ To enroll in the course or for further information, visit deeplearning.ai.