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
From zero to professional level: learn the keys to Artificial Intelligence Agents.
What you'll learn
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[*]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.
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Requirements
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[*]No previous technical knowledge is required.
[*]Students with some prior knowledge will improve their professional preparation.
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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:
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[*]"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.
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In Part 1, you will learn the keys to AI Agents, as well as its potential to revolutionize businesses, startups, and employment:
[list]
[*]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.
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In Part 2, you will learn to build professional-level AI Agents, the most potential applications of Generative AI:
[list]
[*]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.
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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:
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[*]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.
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