This In-Person Master is 400-hour long.

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 25,000 students from 140 countries — our previous Generative AI Bootcamp was ranked #1 worldwide.

What Makes This Bootcamp Special:

• No prior knowledge of AI Agents is required.

• Ideal next step after our 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI.

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.

In Part 2, you will learn to build professional-level AI Agents, the most potential applications of Generative AI:

• 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.

• 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.

Join Today: Take your place among the pioneers of the AI Agent revolution. Don’t miss this opportunity—enroll now before conditions change!