2025 Bootcamp: Understand and Build Professional AI Agents

What you’ll learn

• How AI Agents fit into the Generative AI Revolution.
• Real Cases of AI Agents that will inspire you.
• How to build advanced AI Agents that remember who you are and how you want them to behave.
• How to build advanced Multi-Agents able to replace whole teams of people.
• How to design a Plan to Introduce AI Agents in your company.
• The process to build an AI Agent from scratch: from the initial interview with your client to the final app.
• Why LangGraph is the top framework to build professional-level AI Agents today.
• How to learn LangGraph the right way.
• How to improve your AI Agents with Human-in-the-loop and other advanced techniques.

Requirements

• No previous technical knowledge is required.
• Students with some prior knowledge will improve their professional preparation.

Description

The creators of the #1 Generative AI Bootcamp Worldwide (2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, with more than 25,000 students from more than 140 countries), present now this 2025 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.

• 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.

• 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!

Who this course is for:

• Students and professionals with and without previous experience.
• Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications.

More Info