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

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

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

Instructeur : Board Infinity

Inclus avec En savoir plus

Demander à Coursera

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Understand multi-agent system concepts and the CrewAI dual architecture of Crews and Flows
Implement short-term, long-term, and entity memory so agents retain context and learn across runs
Deploy a multi-agent system as a live FastAPI service and interactive Streamlit app with Docker

Compétences que vous acquerrez

Catégorie : Context Management
Catégorie : LLM Application
Catégorie : Tool Calling
Catégorie : Retrieval-Augmented Generation
Catégorie : Agentic systems
Catégorie : Generative AI Agents

Outils que vous découvrirez

Catégorie : AI Workflows
Catégorie : AI Orchestration
Catégorie : Data Persistence

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

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août 2026

Évaluations

9 devoirs

Enseigné en Anglais

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logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Il y a 5 modules dans ce cours

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.

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.

Inclus

7 vidéos2 devoirs

7 vidéosTotal 36 minutes

What Are AI Agents & Multi-Agent Systems?5 minutes
Meet the Project — The "AgentForce" AI Agency5 minutes
Why CrewAI? Crews vs. Flows Architecture7 minutes
Setting Up the Python Environment4 minutes
Defining Your First Agent — Role, Goal & Backstory3 minutes
Creating Tasks — Descriptions & Expected Outputs6 minutes
Assembling Your First Crew & kickoff()7 minutes

2 devoirsTotal 90 minutes

Foundations of Multi-Agent Systems & Your First Crew60 minutes
Foundations of Multi-Agent Systems & Your First Crew30 minutes

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.

Inclus

7 vidéos2 devoirs

7 vidéosTotal 31 minutes

Passing Inputs & Structuring Outputs with Pydantic5 minutes
Sequential Process — Agents in a Pipeline4 minutes
Task Context & Inter-Agent Data Flow4 minutes
Hierarchical Process — Adding a Manager Agent4 minutes
Delegation & Agent Collaboration in Action5 minutes
Why Tools Matter — From Talkers to Doers4 minutes
Web Search & Scraping Tools5 minutes

2 devoirsTotal 90 minutes

Processes & Agent Collaboration60 minutes
Comparison & Ranking Charts30 minutes

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.

Inclus

7 vidéos1 devoir

7 vidéosTotal 41 minutes

File & Document Tools (PDF, CSV, Directory)4 minutes
Assigning Tools to Agents & Tasks6 minutes
Creating a Custom Tool with the @tool Decorator5 minutes
Structured Custom Tools with BaseTool & Pydantic5 minutes
Connecting to External APIs11 minutes
Caching, Error Handling & Tool Best Practices5 minutes
The CrewAI Memory System Explained6 minutes

1 devoirTotal 30 minutes

Tools, Memory & Knowledge — Making Agents Capable30 minutes

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

Inclus

6 vidéos2 devoirs

6 vidéosTotal 30 minutes

Short-Term & Entity Memory in Action5 minutes
Long-Term Memory — Agents That Learn Across Runs5 minutes
Adding a Knowledge Base to Your Crew7 minutes
Crews vs. Flows — When to Use Which4 minutes
Building Your First Flow with @start and @listen3 minutes
Managing State Across Steps6 minutes

2 devoirsTotal 90 minutes

Advanced Orchestration with CrewAI Flows60 minutes
Advanced Orchestration with CrewAI Flows30 minutes

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

Inclus

6 vidéos2 devoirs

6 vidéosTotal 30 minutes

Structured vs. Unstructured Flow State7 minutes
Conditional Routing with @router5 minutes
Looping, Retries & Self-Correction4 minutes
Human-in-the-Loop Approval Gates4 minutes
Orchestrating Multiple Crews in One Flow5 minutes
Asynchronous Execution & Parallel Tasks5 minutes

2 devoirsTotal 90 minutes

Efficient Data Management60 minutes
Deployment, Production & Capstone30 minutes

Instructeur

Board Infinity

279 Cours452 532 apprenants

Offert par

Board Infinity

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Spécialisation

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Étudiant(e) depuis 2018

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Étudiant(e) depuis 2020

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Foire Aux Questions

No. The course starts with the fundamentals of CrewAI, including agents, tasks, crews, and flows. Basic Python knowledge is recommended.

You will build "AgentForce," an autonomous research-to-publishing AI agency where multiple AI agents collaborate as researchers, analysts, writers, editors, and managers.

Crews manage autonomous collaboration between AI agents, while Flows provide event-driven orchestration, state management, and conditional execution for production-grade workflows.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.