10-Day AI Agents Bootcamp — is a hands-on intensive course focused on creating AI agents, LLM applications, and automated AI systems. The course helps transition from understanding the principles of language models to developing real-world solutions: from simple agents to multi-agent systems, integrations with n8n, product packaging, and deployment in a production environment.
About the AI Agents 10 Day Bootcamp
AI Agents 10 Day Bootcamp is practice-oriented: instead of lengthy theory, participants sequentially create functional solutions based on artificial intelligence. During the training, you'll understand how AI agents differ from regular LLMs, how they use tools, memory, reasoning chains, and external services to perform complex tasks.
Throughout the bootcamp, you'll create 5+ ready-to-use AI agent systems, master popular frameworks for developing agent-based applications, and learn to design solutions that can be used in business, process automation, and the creation of AI products.
What You Will Learn
- understand the structure of LLM, LLM agents, and agent-based AI systems;
- distinguish AI agents from regular language models and chatbots;
- design AI agent architecture for real-world tasks;
- work with frameworks Smolagents, LangChain, and LangGraph;
- create agents with tools, memory, reasoning logic, and state management;
- develop multi-agent systems and configure interactions between agents;
- use CrewAI to create teams of specialized AI agents;
- integrate AI agents with automations, APIs, and external services via n8n;
- create AI automation products and solutions for business processes;
- test, evaluate, and improve the quality of AI agents;
- deploy and scale LLM and AI agents using Kubernetes;
- develop go-to-market strategies, determine pricing, and sell AI products.
10-Day Bootcamp Program
Day 1 — Introduction to LLM and LLM Agents
You will study the fundamental components of large language models, the principles of their operation, and key differences between LLMs, chatbots, and AI agents. This module forms the foundation for further agent system development.
Day 2 — Frameworks for AI Agents
Analysis of popular frameworks for creating AI agents: their capabilities, limitations, advantages, and application scenarios. You'll understand which tool to choose for a specific task.
Day 3 — Creating Agents with Smolagents
Practical development of lightweight and efficient AI agents based on Smolagents. You will create your first solution from idea to working prototype and consolidate basic principles of agent development.
Day 4 — Creating Agents with LangChain
Working with components of LangChain: tools, memory, chains, prompts, and advanced reasoning mechanisms. This module helps create more flexible and functional LLM applications.
Day 5 — Creating Agents with LangGraph
Developing complex agent processes using LangGraph. You will study state management, multi-step task execution, conditional logic, and constructing more reliable AI scenarios.
Day 6 — Multi-Agent Systems
Creation of systems where multiple AI agents jointly solve complex tasks. You'll explore principles of coordination, role distribution, communication, and quality control between agents.
Day 7 — CrewAI
Practice with CrewAI: creating teams of AI agents with different roles, responsibilities, and goals. This approach is suitable for automating research, content generation, data analysis, and business processes.
Day 8 — n8n and Automation
Integration of AI agents with n8n, external services, and APIs. You will learn to build automated workflows that connect AI logic with real tools without needing to write a large amount of code.
Day 9 — Creating AI Agent-based Products
Applying acquired knowledge to design real AI automation products. You will explore how to find tasks for automation, package solutions, and turn agent systems into useful products.
Day 10 — Selling AI Automation Products
Market entry strategies, positioning, pricing, marketing, and monetization of AI products. This day helps link technical development with commercial application of solutions.
Practical Learning Format
The bootcamp is structured as intensive learning with live coding, workshops, and practical assignments. Participants not only learn tools for developing AI agents but also apply them to create their own projects and automations.
Class recordings allow material to be absorbed at a convenient pace, revisit challenging topics, and repeat practical demonstrations. This format is suitable for those who want to quickly master AI agent development and immediately apply the knowledge in their work.
Who This Course is For
- developers who want to create LLM applications and AI agents;
- AI engineers and ML specialists looking to master agent frameworks;
- no-code and low-code specialists working with automation via n8n;
- entrepreneurs and product managers who want to launch AI automation products;
- business process automation specialists;
- those who want to understand the practical application of LLM, LangChain, LangGraph, CrewAI, and Kubernetes.
What You Will Gain After Completing the Bootcamp
- understanding of the architecture of modern AI agents and multi-agent systems;
- practical experience with key frameworks for agent development;
- a portfolio of several AI systems and automations;
- skills in integrating AI agents with external services and APIs;
- understanding approaches to testing, evaluating, and improving AI solutions;
- a foundation for creating, launching, and selling your AI automation products.
Why Learn AI Agents Now
AI agents are becoming one of the key directions in the development of artificial intelligence. They can not only generate responses but also perform tasks, use tools, analyze data, interact with services, and automate complex processes.
10-Day AI Agents Bootcamp helps swiftly master in-demand technologies and gain practical skills that can be applied in development, automation, consulting, startup creation, and launching commercial AI products.
