AutoGen for Enterprise AI Automation Training Course

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

This instructor-led live training (available online or on-site) is targeted at 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 completing this training, participants will be able to:

• Develop custom agents with role-specific logic and tool routing.
• Construct dynamic workflows utilizing advanced function calling and context switching.
• Implement memory modules and planning frameworks within multi-agent teams.
• Manage multi-agent error states and adaptive retry mechanisms.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation in a live laboratory environment.

Customization Options

• To request a customized training session 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 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.

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

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

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

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

Course Format

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

Customization Options

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

This one-day workshop, tailored for developers, data scientists, and AI enthusiasts, provides the knowledge and skills needed to understand and leverage agentic AI systems using AutoGen v0.4.

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 of the course, you will establish a strong understanding of AutoGen’s layered architecture, gain proficiency in asynchronous agent communication, and explore real-world use cases along with best practices for developing scalable and intelligent LLM-based applications.