Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 26.69 GB | Duration: 28h 42m

Learn to build real-world AI agents, multi-agent workflows, and autonomous apps with LangGraph and LangChain

What you'll learn
Understand the core principles of Agentic AI and how to design intelligent, autonomous agents for real-world tasks.
Master building AI agents using LangGraph, including creating workflows, managing agent state, memory, and event-driven behavior.
Develop and deploy multi-agent collaborative systems that can communicate, reason, and solve complex problems together.
mplement hands-on projects to create powerful agentic applications like autonomous research agents, task automation systems, and knowledge retrieval assistants.

Requirements
Basic knowledge of Python programming (variables, functions, classes).
Understanding of APIs and RESTful services (basic level).
Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
Curiosity and willingness to build real-world AI applications — no prior experience with LangGraph needed!

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