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Coursera

Multi-Agent AI Systems: Build a Team of AI Bots with CrewAI

Board Infinity via Coursera

Overview

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This hands-on course teaches you to build collaborative multi-agent AI systems from the ground up using a single real-world project: an autonomous content & market-research agency where specialized AI bots (researcher, analyst, writer, editor, and manager) work together as a team. Every concept is demonstrated through this evolving project, building progressively from a single agent to a fully orchestrated, production-deployed crew with memory, custom tools, and a live API. By course end, learners will have a portfolio-ready, end-to-end multi-agent system Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Syllabus

  • Foundations of Multi-Agent Systems & Your First Crew
    • Understand what multi-agent systems are and why they outperform single agents, set up the CrewAI environment, grasp the core building blocks (Agents, Tasks, Crews), and build and run your first working two-agent crew on the project theme.
  • Processes & Agent Collaboration
    • Build a complete library of chart types organized by storytelling purpose (comparison, composition, distribution, and relationship) and learn to select the right chart for each analytical question using the learner dataset.
  • Tools, Memory & Knowledge — Making Agents Capable
    • Equip agents with built-in and custom tools to act on the real world, give the crew layered memory so it retains context and learns, and add a knowledge base so agents reason over your own documents.
  • Advanced Orchestration with CrewAI Flows
    • Move beyond single crews to event-driven Flows with managed state, conditional routing, and human-in-the-loop checkpoints, then orchestrate multiple specialized crews into one coherent multi-agent system
  • Deployment, Production & Capstone
    • Wrap the multi-agent system as a callable API, build an interactive dashboard, containerize and deploy to the cloud with persistent storage and monitoring, and complete the end-to-end capstone agency

Taught by

Board Infinity

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