AutoGen for Enterprise AI Automation Training Course

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 functions as a visual platform that allows users to design and manage LLM-driven multi-agent workflows without writing 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 leverage AutoGen Studio to visually create, test, and refine agent interactions for internal automation or AI-powered product development.

By the end of the training, participants will be able to:

• Build multi-agent workflows through an intuitive, no-code interface.

• Configure agent roles, prompts, and objectives within AutoGen Studio.

• Monitor and control communication flows between agents visually.

• Integrate error handling and improve context management within agent logic.

Format of the Course

The course combines interactive lectures with guided discussions, supported by a wide 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 needs, please contact us to arrange a customized program.

The course 'Developing LLM Agent Systems with AutoGen' is a practical training program centered on constructing multi-agent systems utilizing Microsoft's AutoGen framework for large language models (LLMs).

This instructor-led, live training session (available online or onsite) targets intermediate-level AI and automation professionals seeking to design, implement, and orchestrate multi-agent systems using AutoGen with Python and LLMs.

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

• Designing multi-agent architectures leveraging the AutoGen framework.
• Configuring agent roles, capabilities, and coordination behaviors.
• Utilizing function-calling and memory management for agent interactions.
• Developing and testing Python-based LLM agent workflows tailored to real-world use cases.

Course Format

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

Course Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

Designed for developers, data scientists, and AI enthusiasts, this one-day workshop provides an in-depth understanding and practical experience with agentic AI systems using AutoGen v0.4.

Through a combination of hands-on exercises and real-world demonstrations, you will learn how to construct, manage, and deploy multi-agent applications powered by Large Language Models (LLMs).

By the end of the course, you will establish a strong foundation in 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.