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Beginnt 4 June 2026 02:32

Endet 4 June 2026

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Build AI Agents with CrewAI

Discover how to build intelligent, collaborative AI agents using CrewAI for multi-agent workflows, LLMs, and real-world task delegation in this hands-on experience.
via Zero To Mastery

29 Kurse


3 hours

Optionales Upgrade verfügbar

Mittelstufe

Lernen Sie in Ihrem eigenen Tempo

Paid Course

Optionales Upgrade verfügbar

Übersicht

Build intelligent, collaborative AI agents with CrewAI. Learn to orchestrate multi-agent workflows using LLMs, tools, and real-world task delegation.

Plus gain hands-on experience to boost your AI skills!Build and orchestrate multi-agent AI workflows using CrewAIDesign agent roles like Supervisor, Researcher, and Action HandlerUse LLMs for decision-making and personalized task executionCreate tool-based actions for data retrieval and API interactionsChain multiple agents together for dynamic collaborationCustomize agent prompts to guide behavior and output

Lehrplan

  •   Introduction
  • Introduction: Why AI Agents Are The Future
    What We're Building (Panic! I Have a Job Interview Tomorrow!)
    Exercise: Meet Your Classmates and Instructor
    [ACTION] Download Course Materials
  •   Build an AI Interview Coach - Beginner Level
  • Getting an OpenAI API Key
    CrewAI Setup
    Get the Data
    About CrewAI
    AI Interviewer Agent
    Interview Prep Task
    Assemble First Crew
    Second AI Agent
    Adding Knowledge Sources
  •   Build an AI Interview Coach - Pro Level
  • 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
  •   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
  •   Where To Go From Here?
  • Review This Byte!

Unterrichtet von

Diogo Resende


Fachgebiete

Computer Science