AutoGen is an open-source framework designed for creating LLM agents that collaborate thoughtfully—working together through dialogue to autonomously tackle complex tasks.
Our expert-led courses demonstrate how to coordinate multiple agents, customize their behaviors using Python, and deploy multi-role AI systems suitable for research, automation, and rapid prototyping.
Training is offered as live online sessions conducted via an interactive remote desktop, or as onsite live training in Bhutan, complete with practical labs on prompt engineering, agent workflows, and tool integration.
Whether you are assembling your first team of agents or expanding complex AI pipelines, onsite courses can be hosted at your premises in Bhutan or at a NobleProg corporate training centre to facilitate immersive, team-focused learning.
Also referred to as AutoGen Studio or the Multi-Agent LLM Framework, this training is perfectly suited for developers, researchers, and innovators looking to explore the latest developments in generative AI.
NobleProg – Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
AutoGen is a Microsoft-developed open-source framework designed for creating multi-agent applications that leverage Large Language Models (LLMs), tools, memory, and user interaction.
This instructor-led live training, available both online and onsite, targets advanced developers and architects who aim to design and deploy highly customized agents using AutoGen's Python-based APIs, function-calling capabilities, and modular toolchains.
Upon completion of this training, participants will be able to:
Develop custom agents featuring role-specific logic and tool routing.
Construct dynamic workflows using advanced function calling and context switching.
Integrate memory modules and planning frameworks within agent teams.
Manage multi-agent error states and implement adaptive retry mechanisms.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live laboratory environment.
Course Customization Options
To request a customized training session for this course, please contact us to arrange details.
AutoGen Studio functions as a visual platform that empowers users to design and manage LLM-driven multi-agent workflows without requiring any code.
This instructor-led training session, available both online and onsite, is designed for business and innovation professionals at the beginner to intermediate level who wish to utilise AutoGen Studio to visually create, test, and refine agent interactions for internal automation or AI-powered product development.
By the conclusion of the training, participants will be able to:
Construct multi-agent workflows through an intuitive, no-code interface.
Configure agent roles, prompts, and objectives within AutoGen Studio.
Visually monitor and control communication flows between agents.
Implement error handling and enhance context management within agent logic.
Course Format
The course integrates interactive lectures with guided discussions, supported by a diverse range of exercises and practical activities, including hands-on work in a live lab environment.
Course Customization Options
For those interested in tailoring this training to specific organizational requirements, please contact us to arrange a customized programme.
This hands-on course, AutoGen for Enterprise AI Automation, is designed to teach participants how to build scalable, intelligent agent systems that streamline complex business operations using the AutoGen framework.
Delivered as instructor-led live training—available both online and onsite—it targets intermediate to advanced AI professionals looking to deploy multi-agent architectures within enterprise platforms and processes via AutoGen.
Upon completing this training, participants will be equipped to:
Design and automate enterprise workflows using AutoGen alongside LLM agents.
Seamlessly integrate AutoGen with LangChain to enhance orchestration and context management.
Construct RAG pipelines and link them to enterprise data sources for contextual automation.
Connect agents with popular enterprise platforms such as Slack, Jira, and SharePoint.
Scale and monitor AutoGen deployments effectively in production environments.
Course Format
Engaging lectures and interactive discussions.
Abundant exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To arrange a customized training session for this course, please get in touch with us.
Building LLM Agent Systems with AutoGen is a practical course designed for developing multi-agent systems using Microsoft’s AutoGen framework for large language models (LLMs).
This instructor-led, live training (available online or onsite) targets intermediate-level AI and automation professionals aiming 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.
Designed for developers, data scientists, and AI enthusiasts, this one-day workshop equips you with the knowledge and skills to understand and leverage agentic AI systems using AutoGen v0.4.
Through a blend of practical demonstrations and hands-on exercises, you will learn to build, manage, and deploy multi-agent applications driven by Large Language Models (LLMs).
By the end of the course, you will establish a strong grasp of AutoGen’s layered architecture, master asynchronous communication between agents, and explore real-world use cases and best practices for creating scalable, intelligent LLM-driven applications.
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Testimonials (1)
I liked that he constantly provided examples but also offered time for individual work on what he presented.
Iacob Giorgel
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
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