AutoGen is an open-source framework for building LLM agents that think together — collaborating through dialogue to solve complex tasks autonomously.
Our instructor-led courses teach how to orchestrate multiple agents, customize behaviors with Python, and deploy multi-role AI systems for research, automation, and rapid prototyping.
Training is available as online live sessions via interactive remote desktop, or as onsite live training in Port Moody, featuring hands-on labs in prompt engineering, agent workflows, and tool integration.
Whether you're building your first agent team or scaling complex AI pipelines, onsite courses can be held at your location in Port Moody or at a NobleProg corporate training center for immersive, team-based learning.
Also known as AutoGen Studio or Multi-Agent LLM Framework, this training is ideal for developers, researchers, and innovators exploring the next frontier of generative AI.
NobleProg – Your Local Training Provider
Port Moody - Brew Street
220 Brew Street, Port Moody, Canada, V3H 0H6
These conference rooms are located in a modern office space in a prestigious community. Two local bus stops and the Inlet Centre Station situated near the workspace provide services around the local area and wider Vancouver. Less than 10-minutes to lunch at one of Suter Brook Village’s popular restaurants.
AutoGen is an open-source framework from Microsoft for building multi-agent applications that use LLMs, tools, memory, and user interaction.
This instructor-led, live training (online or onsite) is aimed at advanced-level developers and architects who wish to design and deploy deeply customized agents using AutoGen’s Python-based APIs, function-calling capabilities, and modular toolchains.
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.
Handle multi-agent error states and adaptive retry mechanisms.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
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 Studio is a visual environment for creating and managing LLM-based multi-agent workflows without requiring code.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business and innovation professionals who wish to use AutoGen Studio to visually design, test, and refine agent interactions for internal automation or AI-enhanced product development.
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.
Lots of exercises and practice.
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 Enterprise 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 enterprise platforms and processes using the AutoGen framework.
By the end of this training, participants will be able to:
Design and automate enterprise workflows 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 enterprise platforms like Slack, Jira, and SharePoint.
Scale and monitor AutoGen deployments in production environments.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Building LLM Agent Systems with AutoGen is a hands-on course focused on developing multi-agent systems using Microsoft’s AutoGen framework for large language models (LLMs).
This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and automation professionals who wish 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 using the AutoGen framework.
Configure agent roles, capabilities, and coordination behaviors.
Use function-calling and memory handling for agent interactions.
Build and test Python-based LLM agent workflows for real use cases.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This 1-day workshop, designed for developers, data scientists, and AI enthusiasts, will help you understand and harness the power of agentic AI systems using AutoGen v0.4.
Through a mix of hands-on exercises and practical demonstrations, you’ll learn how to build, manage, and deploy multi-agent applications powered by Large Language Models (LLMs).
By the end of the course, you'll gain a solid foundation in AutoGen’s layered architecture, master asynchronous communication between agents, and explore real-world use cases and best practices for developing scalable and intelligent LLM-driven applications.
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Testimonials (1)
Trainer responding to questions on the fly.
Adrian
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
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