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The course will equip you with the knowledge and skills to build and customize multi-agent systems using AutoGen.\n\n## Course Summary\nIn 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:\n\n1. 🎭 **Conversational Agents**: Create a two-agent chat showing a conversation between two standup comedians using “ConversableAgent,” a built-in agent class of AutoGen.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l1.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\n2. 🎉 **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l2.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\n3. 📝 **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l3.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\n4. ♟️ **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l4.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\n5. 💻 **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l5.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\n6. 📊 **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.\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"images/l6.png\" height=\"400\"\u003e \n\u003c/p\u003e\n\nBy the end of the course, you’ll have hands-on experience with AutoGen’s core components and a solid understanding of agentic design patterns, ready to implement multi-agent systems in your workflows.\n\n## Key Points\n- 🛠️ Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.\n- 📚 Implement agentic design patterns such as Reflection, Tool Use, Planning, and Multi-agent Collaboration using AutoGen.\n- 🌟 Learn directly from the creators of AutoGen, Chi Wang and Qingyun Wu.\n\n## About the Instructors\n🌟 **Chi Wang** is a Principal Researcher at Microsoft Research, bringing extensive expertise in AI and multi-agent systems to guide you through this course.\n\n🌟 **Qingyun Wu** is an Assistant Professor at Penn State University, specializing in AI and multi-agent collaboration, to help you master agentic design patterns.\n\n🔗 To enroll in the course or for further information, visit [deeplearning.ai](https://www.deeplearning.ai/short-courses/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksm26%2Fai-agentic-design-patterns-with-autogen","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fksm26%2Fai-agentic-design-patterns-with-autogen","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksm26%2Fai-agentic-design-patterns-with-autogen/lists"}