Released 8/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 70 Lessons ( 6h 55m ) | Size: 1.73 GB
Learn hands-on AI agent development using CrewAI, LangGraph, MCP, OpenAI and more. Build and deploy real multi-agent systems for automation, data workflows, and intelligent apps.
What you’ll learn
Build multi-agent systems using CrewAI, LangGraph, MCP, OpenAI and more
Create AI agents that collaborate and handle tasks in parallel
Use OpenAI’s Agents SDK for dynamic agent behavior
Connect agents to tools like web browsers, vector stores, and APIs
Deploy agent workflows locally and share with others
Design conditional flows and stateful agent logic with LangGraph
Gate AI actions behind approvals using Model Context Protocol
Use Python to orchestrate and customize agent behaviors
This isn’t a course about prompt tricks…it’s about building real AI systems that get work done.
You’ll go beyond chatbots and dive into structured, multi-agent workflows. Using Python and real-world AI agent tools including CrewAI, LangGraph, MCP, OpenAI and more, you’ll assemble AI “crews” that scrape websites, analyze content, collaborate, and report back—all automatically.
Whether you’re prepping for a role in AI engineering, automation, product strategy, or just want to build autonomous AI systems for your daily life, this course gives you hands-on experience creating and deploying AI agents that actually work!
By the end, you’ll have multiple production-ready demos, plus the confidence to build and explain intelligent systems that go beyond chat.
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