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

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

Dozent: Board Infinity

Bei Mehr erfahren enthalten

Fragen Sie Coursera

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

5 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

9 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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

Kompetenzen, die Sie erwerben

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

Werkzeuge, die Sie lernen werden

Kategorie: AI Workflows
Kategorie: AI Orchestration
Kategorie: Data Persistence

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

August 2026

Bewertungen

9 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 5 Module

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.

Das ist alles enthalten

7 Videos2 Aufgaben

7 VideosInsgesamt 36 Minuten

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

2 AufgabenInsgesamt 90 Minuten

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

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.

Das ist alles enthalten

7 Videos2 Aufgaben

7 VideosInsgesamt 31 Minuten

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

2 AufgabenInsgesamt 90 Minuten

Comparison & Ranking Charts30 Minuten
Processes & Agent Collaboration60 Minuten

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.

Das ist alles enthalten

7 Videos1 Aufgabe

7 VideosInsgesamt 41 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Tools, Memory & Knowledge — Making Agents Capable30 Minuten

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

Das ist alles enthalten

6 Videos2 Aufgaben

6 VideosInsgesamt 30 Minuten

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

2 AufgabenInsgesamt 90 Minuten

Advanced Orchestration with CrewAI Flows30 Minuten
Advanced Orchestration with CrewAI Flows60 Minuten

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

Das ist alles enthalten

6 Videos2 Aufgaben

6 VideosInsgesamt 30 Minuten

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

2 AufgabenInsgesamt 90 Minuten

Deployment, Production & Capstone30 Minuten
Efficient Data Management60 Minuten

Dozent

Board Infinity

279 Kurse454.967 Lernende

von

Board Infinity

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Häufig gestellte Fragen

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.