AutoGen Training in Tashkent

AutoGen is an open-source framework developed by Microsoft for building 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 designed for advanced-level developers and architects who aim to design and deploy highly customised 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 intelligent tool routing.
• Build dynamic workflows using advanced function calling and context switching.
• Implement memory modules and planning frameworks within agent teams.
• Manage multi-agent error states and implement adaptive retry mechanisms.

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical drills.
• Real-time implementation in a live-lab environment.

Course Customisation Options

• To request a tailored version of this course, please contact us to arrange a customised training session.

AutoGen Studio functions as a visual platform that empowers users to design and manage LLM-driven multi-agent workflows without requiring any coding skills.

This live, instructor-led training—offered in both online and onsite formats—is designed for business and innovation professionals at beginner to intermediate proficiency levels who wish to leverage AutoGen Studio to visually create, test, and refine 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 integrates interactive lectures with guided discussions, reinforced by a variety 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 needs, please contact us to arrange a customized program.

AutoGen for Enterprise AI Automation is a practical course focused on implementing scalable, intelligent agent systems to automate complex business operations using the AutoGen framework.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level AI professionals who wish to deploy multi-agent architectures across enterprise platforms and processes using the AutoGen framework.

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

• Design and automate enterprise workflows using AutoGen and LLM agents.
• Integrate AutoGen with LangChain for advanced orchestration and context handling.
• Build RAG pipelines and connect enterprise data for contextual automation.
• Connect agents with enterprise platforms such as Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments in production environments.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Developing LLM Agent Systems with AutoGen is a practical course designed for creating 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 who want to design, implement, and orchestrate multi-agent systems using AutoGen with Python and LLMs.

By the conclusion of this training, participants will be able to:

• Design multi-agent architectures using the AutoGen framework.
• Configure agent roles, capabilities, and coordination behaviors.
• Utilize function-calling and memory handling for effective agent interactions.
• Build and test Python-based LLM agent workflows for real-world use cases.

Course Format

• Interactive lecture and discussion.
• Extensive 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.

This 1-day workshop, tailored for developers, data scientists, and AI enthusiasts, will equip you with the knowledge to understand and leverage the power of agentic AI systems using AutoGen v0.4.

Through a blend of hands-on exercises and practical demonstrations, you will learn how to build, manage, and deploy multi-agent applications driven by Large Language Models (LLMs).

By the end of the course, you will gain a solid understanding of AutoGen's layered architecture, master asynchronous communication between agents, and explore real-world use cases along with best practices for developing scalable and intelligent LLM-powered applications.