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

Курс от Board Infinity
Начальный≈ 9.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

AI OrchestrationData PersistenceRetrieval-Augmented GenerationAgentic systemsLLM ApplicationContext ManagementAI WorkflowsTool CallingGenerative AI Agents

Программа курса

5 модулей · 43 учебных материалов

01Foundations of Multi-Agent Systems & Your First Crew10 материалов

Why Visualization & Storytelling Matter

What Are AI Agents & Multi-Agent Systems?ВидеоMeet the Project — The "AgentForce" AI AgencyВидеоWhy CrewAI? Crews vs. Flows ArchitectureВидеоSetting Up the Python EnvironmentВидео

Учитесь у экспертов

Board Infinity

Instructor

Multi-Agent AI Systems: Build a Team of AI Bots with CrewAI
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.5 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Defining Your First Agent — Role, Goal & BackstoryВидео
Foundations of Multi-Agent Systems & Your First CrewЗадание
Creating Tasks — Descriptions & Expected OutputsВидео
Assembling Your First Crew & kickoff()Видео
Designing Your First Multi-Agent AI TeamDIALOGUE
Foundations of Multi-Agent Systems & Your First CrewЗадание
02Processes & Agent Collaboration9 материалов

Comparison & Ranking Charts

Passing Inputs & Structuring Outputs with PydanticВидеоSequential Process — Agents in a PipelineВидеоTask Context & Inter-Agent Data FlowВидеоHierarchical Process — Adding a Manager AgentВидеоComparison & Ranking ChartsЗаданиеDelegation & Agent Collaboration in ActionВидеоWhy Tools Matter — From Talkers to DoersВидеоWeb Search & Scraping ToolsВидеоProcesses & Agent CollaborationЗадание
03Tools, Memory & Knowledge — Making Agents Capable8 материалов

Comparison & Ranking Charts

File & Document Tools (PDF, CSV, Directory)ВидеоAssigning Tools to Agents & TasksВидеоCreating a Custom Tool with the @tool DecoratorВидеоStructured Custom Tools with BaseTool & PydanticВидеоConnecting to External APIsВидеоCaching, Error Handling & Tool Best PracticesВидеоThe CrewAI Memory System ExplainedВидеоTools, Memory & Knowledge — Making Agents CapableЗадание
04Advanced Orchestration with CrewAI Flows8 материалов

Comparison & Ranking Charts

Short-Term & Entity Memory in ActionВидеоLong-Term Memory — Agents That Learn Across RunsВидеоAdding a Knowledge Base to Your CrewВидеоCrews vs. Flows — When to Use WhichВидеоAdvanced Orchestration with CrewAI FlowsЗаданиеBuilding Your First Flow with @start and @listenВидеоManaging State Across StepsВидеоAdvanced Orchestration with CrewAI FlowsЗадание
05Deployment, Production & Capstone8 материалов

Comparison & Ranking Charts

Structured vs. Unstructured Flow StateВидеоConditional Routing with @routerВидеоLooping, Retries & Self-CorrectionВидеоHuman-in-the-Loop Approval GatesВидеоDeployment, Production & CapstoneЗаданиеOrchestrating Multiple Crews in One FlowВидеоAsynchronous Execution & Parallel TasksВидеоEfficient Data ManagementЗадание