Multi-Agent Systems: Building AI Agents with LLMs
Learn how AI agents work and create your own multi-agent system
// Online course
November 2026
November 2026
Start
Language
Document
November 2026
5 weeks - 1 class per week
5 weeks - 1 class per week
English
MIPT Certificate
Format - online
5 sessions
Price: $200 / 15,000 RUB
Price: $200 / 15,000 RUB
Build Your Own AI Agents
- Live online sessions with hands-on coding exercises using Python and LLMs
- Practical project materials – code examples and a ready-to-use multi-agent system template
- Beginner-friendly approach – start with Python and LLM basics and build your own AI agents
What we will learn
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Understand how large language models work and how computers process text. -
Understand how AI agents work and build your first agent using an LLM. -
Learn Python basics and use libraries to connect applications to LLMs. -
Learn how multiple AI agents communicate, share tasks and work together. -
Work with API-based and local language models, documents and external tools. -
Create your own multi-agent system using a ready-made project template.
Course program
1 - Python Basics for AI Development
2 - Introduction to Large Language Models (LLMs)
3 - How Computers Process and Represent Text
2 - Introduction to Large Language Models (LLMs)
3 - How Computers Process and Represent Text
1 - LangChain and LLM Libraries
2 - Document Parsing and Model Connectors
3 - API-Based and Local LLMs
4 - Hands-on Practice with LLMs
2 - Document Parsing and Model Connectors
3 - API-Based and Local LLMs
4 - Hands-on Practice with LLMs
1 - What Are AI Agents and How Do They Work?
2 - Agent Architecture and Workflows
3 - Building Your First AI Agent
2 - Agent Architecture and Workflows
3 - Building Your First AI Agent
1 - How Multiple AI Agents Work Together
2 - Multi-Agent System Code Walkthrough
3 - AI Reviewer Example
4 - Ready-to-Use Project Template
2 - Multi-Agent System Code Walkthrough
3 - AI Reviewer Example
4 - Ready-to-Use Project Template
1 - Presentation of Multi-Agent Projects
2 - Expert Feedback and Discussion
2 - Expert Feedback and Discussion
Expert
- Rituparn ShuklaExpertise Areas
- Large Language Models (LLMs)
- AI Agents & LLM Applications
- Python & LangChain
- Software Engineering
Additional information
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Practical guidance on building AI agents with Python and LLMs - Ready-to-use code examples and a multi-agent project template
- Hands-on experience with LLM libraries, APIs and local models
- MIPT Certificate after successful course completion
- Access all workshop recordings for 1 year
Format of participation
Online
200$/15000 rubles
- MIPT Certificate
- Access to materials for 1 year
- Course materials and multi-agent project template
Registration for the workshop