AutoGen Training in Nantes

AutoGen is an open-source framework developed by Microsoft for creating multi-agent applications that leverage LLMs, tools, memory, and user interaction.

This instructor-led, live training (available online or onsite) is designed for advanced developers and architects who want to design and deploy highly 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 also allows for the evaluation of participants.

• 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 provides a visual interface that allows users to design and manage LLM-driven multi-agent workflows without writing any code.

This live, instructor-led training, available both online and onsite, is designed for business and innovation professionals at beginner to intermediate levels who wish to use AutoGen Studio to visually create, test, and optimize agent interactions for internal automation or AI-powered product development.

Upon completion of the training, participants will be able to:

• Construct multi-agent workflows using 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 blends interactive lectures with guided discussions, supported by a comprehensive range of exercises and practical activities, including hands-on practice in a live lab environment.

Customization Options

If you are interested in tailoring this training to meet specific organizational requirements, please contact us to arrange a customized program.

AutoGen for Enterprise AI Automation is a practical course designed to teach participants how to implement scalable, intelligent agent systems that automate complex business operations using the AutoGen framework.

This instructor-led training, available either online or on-site, targets AI professionals at an intermediate to advanced level who want to deploy multi-agent architectures across enterprise platforms and processes using the AutoGen framework.

Upon completing this training, participants will be able to:

• Design and automate enterprise workflows using AutoGen and LLM agents.
• Integrate AutoGen with LangChain to achieve advanced orchestration and context management.
• Construct RAG pipelines and link enterprise data to enable contextual automation.
• Connect agents with enterprise platforms such as Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments within production environments.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and discussions.
• Numerous 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.

This practical course focuses on constructing multi-agent systems by leveraging Microsoft’s AutoGen framework for large language models (LLMs).

Delivered as an instructor-led training session, available either online or onsite, this program targets intermediate-level professionals in AI and automation who aim to design, implement, and manage multi-agent systems using AutoGen alongside Python and LLMs.

Upon completion, participants will be capable of:

• Architecting multi-agent systems using the AutoGen framework.
• Configuring agent roles, capabilities, and coordination mechanisms.
• Utilizing function calling and memory management for effective agent interactions.
• Developing and testing Python-based LLM agent workflows tailored to real-world scenarios.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• For personalized training arrangements for this course, please reach out to us.

This one-day workshop, tailored for developers, data scientists, and AI enthusiasts, aims to help you comprehend and leverage the capabilities of agentic AI systems through AutoGen v0.4.

By combining practical demonstrations with hands-on exercises, you will learn how to construct, manage, and deploy multi-agent applications driven by Large Language Models (LLMs).

Upon completion, you will have a firm grasp of AutoGen’s layered architecture, proficiency in asynchronous agent communication, and insights into real-world use cases and best practices for creating scalable, intelligent LLM-based solutions.