AutoGen for Enterprise AI Automation Training Course

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

This instructor-led, live training (available online or onsite) is designed for advanced-level developers and architects who aim 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 provides a visual platform that allows users to design and manage LLM-driven multi-agent workflows without requiring any coding skills.

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

Upon completing 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.

• Monitor and visually control communication flows between agents.

• Implement error handling and enhance context management within agent logic.

Format of the Course

The course integrates interactive lectures with guided discussions, supported by a comprehensive range of exercises and practical activities, including hands-on practice in a live lab environment.

Course Customization Options

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

Developing LLM Agent Systems with AutoGen is a practical course centered on creating multi-agent systems by leveraging Microsoft’s AutoGen framework for large language models (LLMs).

This instructor-led live training, available either online or onsite, targets AI and automation professionals at an intermediate level who aim to design, implement, and orchestrate multi-agent systems using AutoGen, Python, and LLMs.

Upon completion of this training, participants will be capable of:

• Designing multi-agent architectures utilizing the AutoGen framework.
• Configuring agent roles, capabilities, and coordination behaviors.
• Employing function-calling and memory management techniques for agent interactions.
• Constructing and testing Python-based LLM agent workflows for practical applications.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us.

Designed for developers, data scientists, and AI enthusiasts, this 1-day workshop enables you to understand and leverage the capabilities of agentic AI systems using AutoGen v0.4.

Through 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 session, you will have established a strong grasp of AutoGen’s layered architecture, mastered asynchronous agent communication, and explored real-world use cases and best practices for creating scalable, intelligent applications powered by LLMs.