2025 Bootcamp: Understand and Build Professional AI Agents
2025 Bootcamp: Understand and Build Professional AI Agents
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 17h 9m | 7.7 GB
Instructor: Julio Colomer
.MP4, AVC, 1280x720, 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.
2025 Bootcamp: Understand and Build Professional AI Agents
