AutoGen Training in Durham

AutoGen is an open-source framework developed by Microsoft designed for building multi-agent applications that leverage LLMs, tools, memory, and user interaction. This instructor-led, live training (available online or onsite) is tailored for advanced-level developers and architects who aim to design and deploy highly customized agents using AutoGen’s Python-based APIs, function-calling capabilities, and modular toolchains. The training is particularly relevant for government agencies seeking to enhance their technical capabilities. By the end of this training, participants will be able to: - Develop custom agents with role-specific logic and tool routing. - Build dynamic workflows using advanced function calling and context switching. - Implement memory modules and planning frameworks within agent teams. - Manage multi-agent error states and adaptive retry mechanisms. **Format of the Course** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** To request a customized training for government or other specific needs, please contact us to arrange.

AutoGen Studio is a visual environment designed for creating and managing LLM-based multi-agent workflows without the need for coding. This instructor-led, live training (available online or onsite) is targeted at beginner to intermediate business and innovation professionals who aim to use AutoGen Studio to visually design, test, and refine agent interactions for internal automation or AI-enhanced product development for government. By the end of this training, participants will be able to: - Create multi-agent workflows using a no-code interface. - Define agent roles, prompts, and goals using AutoGen Studio. - Visualize and manage message flows between agents. - Incorporate error handling and context refinement into agent logic. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** To request a customized training for this course, please contact us to arrange.

AutoGen for Government AI Automation is a hands-on course focused on implementing scalable, intelligent agent systems to automate complex business operations using the AutoGen framework. This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI professionals who wish to deploy multi-agent architectures across government platforms and processes using the AutoGen framework. By the end of this training, participants will be able to: - Design and automate workflows for government using AutoGen and LLM agents. - Integrate AutoGen with LangChain for advanced orchestration and context handling. - Build RAG pipelines and connect enterprise data for contextual automation. - Connect agents with government platforms like Slack, Jira, and SharePoint. - Scale and monitor AutoGen deployments in production environments. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for government use, please contact us to arrange.

Building LLM Agent Systems with AutoGen is an interactive course designed to equip participants with the skills necessary to develop multi-agent systems using Microsoft’s AutoGen framework for large language models (LLMs). This instructor-led, live training (available online or onsite) is tailored for intermediate-level AI and automation professionals who aim to design, implement, and orchestrate multi-agent systems using AutoGen with Python and LLMs. By the end of this training, participants will be able to: - Design multi-agent architectures utilizing the AutoGen framework. - Configure agent roles, capabilities, and coordination behaviors effectively. - Implement function-calling and memory handling for efficient agent interactions. - Construct and test Python-based LLM agent workflows for practical applications. **Format of the Course:** - Interactive lectures and discussions. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options:** To request a customized training program tailored to specific needs, please contact us to arrange. This course can be adapted to align with public sector workflows, governance, and accountability requirements for government use.

This 1-day workshop, designed for developers, data scientists, and AI enthusiasts, will provide a comprehensive understanding of agentic AI systems using AutoGen v0.4. Through a combination of hands-on exercises and practical demonstrations, participants will learn how to build, manage, and deploy multi-agent applications powered by Large Language Models (LLMs). By the end of the course, attendees will have a solid foundation in AutoGen’s layered architecture, proficiency in asynchronous communication between agents, and insights into real-world use cases and best practices for developing scalable and intelligent LLM-driven applications. This training is tailored to enhance skills that are directly applicable to projects for government and other public sector initiatives.