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Zero To Mastery

AI Agents Bootcamp: Zero to Mastery

via Zero To Mastery Path

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Overview

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.
  • 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

Syllabus

  •   Section 1: Introduction
    • The AI Agents Bootcamp: Zero to Mastery
    • Why AI Agents?
    • Exercise: Meet Your Classmates and Instructor
    • ZTM Plugin + Understanding Your Video Player
    • Set Your Learning Streak Goal
    • [ACTION] Download the Course Resources
  •   Section 2 - CrewAI & Interview Coach (Part 1)
    • What We're Building (Panic! I Have a Job Interview Tomorrow!)
    • Getting an OpenAI API Key
    • CrewAI Setup
    • Get the Data
    • About CrewAI
    • AI Interviewer Agent
    • Interview Preparation Task
    • Assemble First Crew
    • Second AI Agent
    • Adding Knowledge Sources
    • Let's Have Some Fun (+ More Resources)
  •   Section 3 - CrewAI & Interview Coach (Part 2)
    • Game Plan for Pro Level
    • CrewAI Setup
    • AI Research Agent
    • AI Research Tasks
    • AI Coach and Interview Tasks
    • Assembling First Crew and Exporting
    • Interviewing and Coaching Tasks
    • Second AI Crew
    • Hierarchical Process
    • Unlimited Updates
  •   Section 4 - Capstone Project: Find The Next YouTube Influencer for ZTM
    • Andrei Asks For Your Help!
    • CrewAI Setup
    • Research AI Agent and 1st Task
    • Research and Sentiment Tasks
    • AI Scoring Agent and Task
    • Final AI Crew
    • Course Check-In
  •   Section 5 - LangGraph & JokeBot
    • Game Plan for the Joke Bot
    • LangGraph Setup
    • TypedDict
    • TypedDict Class
    • Greet User
    • Get Topic of Joke - Part 1
    • Get Topic of Joke - Part 2
    • Exercise: Imposter Syndrome
    • Begin Workflow
    • Workflow with Conditional Edges
    • Invalid Topic
    • Time to Say Goodbye
    • Implement a New Life System
  •   Section 6 - LangGraph & Interview Coach (Part 3)
    • Game Plan for Interview Coach
    • AgentState Class
    • Web Browsing with OpenAI
    • Research Company
    • Research Interviewer
    • Generate Interview Questions - Part 1
    • Generate Interview Questions - Part 2
    • Build LangGraph Workflow
    • AI Interviewer
    • Get Answer
    • End the Flow
  •   Section 7 - OpenAI Agent SDK
    • Game Plan for the AI Sommelier
    • OpenAI Agend SDK Setup
    • Uploading a File
    • Vector Stores
    • AI Sommelier
    • Escalate to Boss
    • Running the AI Agent
    • Finalizing AI Sommelier
    • More Stuff That I Built
  •   Section 8 - Model Context Protocol
    • Introduction
    • Game Plan for MCP with OpenAI
    • Setup
    • Web Browsing with Fetch
    • MCP Approval
    • Including Approval in API Call
    • Specifying Approvals: Deepwiki - Part 1
    • Specifying Approvals: Deepwiki - Part 2
    • Authentication with Stripe MCP - Part 1
    • Authentication with Stripe MCP - Part 2
  •   Where To Go From Here?
    • Thank You!
    • Review This Course!
    • Become An Alumni
    • Learning Guideline
    • ZTM Events Every Month
    • LinkedIn Endorsements

Taught by

Diogo Resende

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