2025 Bootcamp: Understand and Build Professional AI Agents

2025 Bootcamp: Understand and Build Professional AI Agents
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 17h 9m | 7.7 GB
Instructor: Julio Colomer

From zero to professional level: learn the keys to Artificial Intelligence 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.

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!

Who this course is for:

Students and professionals with and without previous experience.
Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence.
Executives interested in introducing Artificial Intelligence into their company.
Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications.
Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications.

More Info