AI Agents Bootcamp: Zero to Mastery
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 54m | 1.73 GB
Instructor: Diogo Resende
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 6h 54m | 1.73 GB
Instructor: Diogo Resende
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.