AutoGen Training in Belgrade

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) targets advanced developers and architects looking 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.

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.

AutoGen Studio provides a visual platform that allows users to design and manage LLM-driven multi-agent workflows without coding.

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

Upon completion 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.

Course Format

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 AutoGen for Enterprise AI Automation course is a practical, hands-on program designed to help participants build scalable and intelligent agent systems that automate intricate business operations using the AutoGen framework.

This instructor-led training session, available both online and onsite, targets intermediate to advanced AI professionals who aim to implement multi-agent architectures within enterprise platforms and business processes utilizing the AutoGen framework.

Upon completion of this training, participants will be equipped to:

• Design and automate enterprise workflows leveraging AutoGen and Large Language Model (LLM) agents.
• Seamlessly integrate AutoGen with LangChain to enhance orchestration capabilities and context management.
• Develop Retrieval-Augmented Generation (RAG) pipelines and link enterprise data to enable contextual automation.
• Connect agents with popular enterprise platforms such as Slack, Jira, and SharePoint.
• Scale and monitor AutoGen deployments effectively within production environments.

Course Format

• Engaging lectures combined with interactive discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation exercises conducted in a live laboratory environment.

Course Customization Options

• For organizations seeking customized training for this course, please contact us to make arrangements.

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

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

Upon completing this training, participants will be capable of:

• Designing multi-agent architectures with the AutoGen framework.
• Configuring agent roles, capabilities, and coordination behaviors.
• Utilizing function calling and memory management for agent interactions.
• Constructing and testing Python-based LLM agent workflows for real-world applications.

Course Format

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

Customization Options

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

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.

Through a combination of practical demonstrations and 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 have a firm grasp of AutoGen’s layered architecture, proficiency in asynchronous agent communication, and exposure to real-world use cases and best practices for creating scalable, intelligent applications powered by LLMs.