
Determine if you should enroll in the first bootcamp before or with the agents bootcamp for generative ai. The first bootcamp provides a comprehensive, beginner-friendly foundation updated regularly.
Celebrate reaching 45,000 students by offering a free generative AI library of four ebooks, covering artificial intelligence basics, startup insights, prompt engineering, and AI agents' business impact.
Explore building professional ai agents with landgraaf, mastering memory management, state handling, multi-agent workflows, and human-in-the-loop techniques to replace a secretary and support enterprise-level market research.
Stay current with monthly updates across all three generative AI bootcamps, with friendly transitions to new content and practical guidance on line chain one, middleware, and dynamic agents.
Embrace hard work over magic pills, use negative feedback as motivation, and write your quitting fears plus a completion plan to stay committed.
Compile bootcamp 1 contents with the state of the generative ai revolution, including programming intro, a unicorn startup case on ai agents, and crew ai projects.
Choose the right learning path and pace in this introductory section of the 2025 bootcamp. Learn generative AI basics and its business impact, then advance to practical projects.
Use ChatGPT for daily learning, problem solving, and code review to accelerate your programming. Consult documentation and forums when needed, practice Python basics in Jupyter notebooks, and cultivate perseverance.
Create and activate a new virtual environment, install JupyterLab, and run a local JupyterLab server to manage notebooks and organize projects.
Explore the terminal, define what it is, why it matters, and perform basic operations. Review attached materials and note topics on hidden files and secret credentials in LLM applications.
Explore agentic artificial intelligence, compare traditional large language model apps with agentic workflows, review real-world examples like Klarna and Devin, and examine four usage patterns and near-term trends.
Explore multi-agent lm applications, assess promising initial results, and review Autogen, LangGraph, and CrewAI, along with other related initiatives.
Explore the crew eye platform with an introduction, starter guide, alternative LMS tips, and initial full-stack projects, while noting bootcamp two adds new features and updates.
Launch the Next.js front end for a multi-agent llm app with CrewAI, setting up a Tailwind css and TypeScript-based user interface with a header and layout, running on localhost:3000.
In part seven, this lecture deepens React basics by building the input section component and a home component that manages dynamic lists with useState in a Next.js frontend.
The creators of the #1 Generative AI Bootcamp Worldwide (2026 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, with more than 45,000 students from more than 154 countries), present now this 2026 Bootcamp: Understand and Build Professional AI Agents.
What are the Top Experts saying about the Potential of AI Agents:
“AI Agents are going to bring about the biggest revolution in computing." — Bill Gates, Founder of Microsoft.
“AI agents will become our digital assistants. They will make our lives easier and more efficient." — Jeff Bezos, Founder of Amazon.
“The age of AI Agents is here." — Jensen Huang, Founder of Nvidia.
Why Join This Bootcamp:
“Postings for Gen AI jobs are growing 3.5x faster than all jobs." (PwC 2024 Global Barometer)
“Jobs requiring Gen AI skills carry up to a 25% wage premium." (PwC 2024 Global Barometer)
Trusted by over 45,000 students from 154 countries — our previous Generative AI Bootcamp was ranked #1 worldwide.
What Makes This Bootcamp Special:
No prior knowledge of AI Agents is required.
For those who need it, it includes a quick guide to learning how to program in the new era of Generative AI.
It’s the ideal next step after completing our 2026 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI.
You will learn how to create the 10 most important AI agents on the market today.
You will be able to download the code to immediately use the AI agents in your company, startup, or with your clients. Among others, you will learn how to create the following agents:
AI Agent to manage Customer Service
AI Agent to Recommend Stock Market Investments
AI Agent to Automate the Tasks of a Department
AI Agent to manage new business contacts
AI Agent to Create SEO-Optimized Marketing Content
AI Agent to answer questions about private documents
AI Agent to generate, execute, and self-correct code
AI Agent to Approve Company Expenses
Sounds good? Get ready for this and much more!
In Part 1, you will learn the keys to AI Agents, as well as its potential to revolutionize businesses, startups, and employment:
How AI Agents fit into the Generative AI Revolution.
What are AI Agents and Multi-Agents.
The huge market for AI Agents.
The Key Benefits of AI Agents.
Use Cases of AI Agents.
How to design a Plan to Introduce AI Agents in your company.
What are the top challenges and limitations of AI Agents.
Regulations and AI Agents: What you need to know.
Future of AI Agents.
Real Cases of AI Agents that will inspire you.
Updated Report: State of the Generative AI Revolution.
In Part 2, you will learn to build AI Agents of different levels (basic, intermediate, and advanced) with the top frameworks in the market today:
Analysis of the main frameworks for building AI Agents: AutoGen, LangGraph, CrewAI.
The three stages of the recommended learning process for building AI Agents.
Reasons why CrewAI emerges as the most suitable framework for the initial learning.
CrewAI adoption statistics: who uses it and for what.
Building simple and intermediate-level AI agents with CrewAI.
Quick guide to learning CrewAI.
How to use alternative LLMs with CrewAI and Groq.
First AI Agents with CrewAI: simple crew and full-stack crew.
New updates and features of CrewAI.
Flows: the new feature that enables the creation of advanced AI Agents with CrewAI.
Integrating CrewAI with native, external, and custom tools.
Memory in CrewAI.
RAG in CrewAI.
Event Listeners in CrewAI.
Fingerprinting in CrewAI.
How to improve agent performance with CrewAI.
Testing agents in CrewAI.
Training agents in CrewAI.
The new CrewAI deployment and observability platform.
How to integrate CrewAI with enterprise applications like Salesforce, Hubspot, etc.
Instructions to install projects error-free.
Basic Crew project.
Crew to plan and manage a marketing project.
Multi-model crew to prepare sales meetings.
Flow with crew to manage your email.
Flow with two crews to assist SDRs.
Why LangGraph is the top framework to build professional-level AI Agents today.
Why the LangChain team decided to create the LangGraph framework to build better AI Agents.
Degrees of Agentic Behavior.
What is a Graph in LangGraph?
How to learn LangGraph the right way: from painful to joyful.
Understanding the components of a LangGraph app.
Quick guide to learning LangGraph.
Basic multi-agent project with LangGraph.
AI Agents Routing with Conditional Edges.
AI Agents that remember your conversation: short-term memory.
What is in the mind of the AI Agent? The state schema.
How to change what is in the AI Agent's mind: Reducers.
Private and Public conversations: how to build AI Agents with Multiple State Schemas.
Memory efficiency: how to prevent high token usage in AI Agents.
Memory Persistence: How to save the memory of your AI Agent in an external database.
How to improve your AI Agent with Human-in-the-loop.
Breakpoints: the right time to add Human-in-the-loop.
Human-in-the-loop: how to add an approval step.
Human-in-the-loop: how to change what is in the AI Agent's mind.
Human-in-the-loop: how to debug AI Agents.
Parallelization: How your AI Agent can execute more than one task at a time.
How you can build Multi-Agents with sub-graphs.
Map-Reduce operations: how to master one of the key techniques for AI Agents.
The process to build an AI Agent from scratch: from the initial interview with your client to the final app.
How to build an advanced Multi-Agent app: automating the job of a Market Research Team.
Short-term vs. Long-term memory in AI Agents.
How to build AI Agents with long-term memory: they remember who you are, your previous conversations, and how you want them to behave.
How to manage AI Agents with complex Memory Schemas using TrustCall.
How to build an advanced AI Agent with long-term memory: an amazing personal assistant that proactively manages your to-do list for you.
How to use advanced listeners to debug your AI Agents.
You will also learn about the new AI Agents that can work in your computer: Open Claw Bots, Clawdbots, Moltbots, and Moltbook.
Join Today: Take your place among the pioneers of the AI Agent revolution. Don’t miss this opportunity—enroll now before conditions change!