ChatGPT
ChatGPT is an AI assistant for writing, learning, research, problem solving, and creative tasks. Learn practical skills with AI Academy and discover useful workflows in our AI Library.
EXPLORE AI LIBRARYCrewAI is a framework for building teams of AI agents that collaborate on tasks. Learn practical skills with AI Academy and discover useful workflows in our AI Library.
Explore all lessons in this catalogue and start learning at your own pace.
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1. What Is CrewAI? ❌
Discover CrewAI with AI Academy 1U as a framework for building AI agents and multi-agent systems. Understand how CrewAI differs from a single chatbot or simple automation by coordinating specialized agents around tasks, tools, context, and shared outcomes.
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2. Understand Agents, Tasks, Crews and Flows ❌
Understand the four core CrewAI concepts with AI Academy 1U. Learn how Agents perform specialized work, Tasks define responsibilities, Crews coordinate multiple agents, and Flows control orchestration, application logic, state, and execution paths.
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3. Understand Multi-Agent Systems ❌
Understand multi-agent systems with CrewAI and AI Academy 1U by exploring how specialized agents collaborate on complex work. Learn why a researcher, analyst, and writer can often perform better together than one large general-purpose prompt.
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4. CrewAI Open Source vs Agent Management Platform ❌
Compare CrewAI Open Source and the Agent Management Platform with AI Academy 1U. Understand how developers can build with the open-source framework while enterprise teams use platform capabilities for deployment, observability, governance, and large-scale agent operations.
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5. Understand a Production Agentic System ❌
Understand production agentic systems with CrewAI and AI Academy 1U by going beyond prompts to orchestration, tools, memory, security, observability, recovery, and governance. Build the mindset required to design reliable multi-agent applications from the beginning.
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6. Set Up Python for CrewAI ❌
Set up Python for CrewAI with AI Academy 1U by preparing a clean development environment, package management, and project workspace. Learn the basic technical foundation required before creating agents, tasks, crews, flows, or tools.
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7. Install CrewAI and Create Your First Project ❌
Install CrewAI and create your first project with AI Academy 1U. Learn how to initialize the framework, scaffold a starter application, and understand the initial files and structure that support agents, tasks, crews, and execution.
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8. Understand CrewAI Project Structure ❌
Understand CrewAI project structure with AI Academy 1U by examining files for agents, tasks, crew configuration, and the application entry point. Learn how organized project structure improves maintainability and makes larger agent systems easier to extend.
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9. Configure CrewAI with YAML ❌
Configure CrewAI with YAML using AI Academy 1U by separating agent and task definitions from application logic. Learn how YAML-based configuration can improve readability, maintainability, and flexibility while still allowing code-based customization when required.
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10. Manage Environment Variables and Secrets ❌
Manage environment variables and secrets securely in CrewAI with AI Academy 1U. Learn how to store model keys and service credentials outside source code so sensitive information is protected across development and deployment environments.
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11. Understand the CrewAI Agent ❌
Understand the CrewAI Agent with AI Academy 1U as a specialized role defined by goal, backstory, model, tools, and behavior. Learn how these elements work together to shape how an agent approaches and completes assigned tasks.
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12. Define Agent Role, Goal and Backstory ❌
Define agent role, goal, and backstory in CrewAI with AI Academy 1U. Learn how clear identity, objectives, and professional context strongly influence agent behavior, task interpretation, and the quality of specialized outputs.
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13. Choose and Configure an LLM ❌
Choose and configure an LLM for CrewAI agents with AI Academy 1U by balancing reasoning quality, speed, and cost. Learn how different agents can use different models based on the needs of their assigned tasks.
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14. Enable Agent Reasoning ❌
Enable agent reasoning in CrewAI with AI Academy 1U so agents can plan and think through tasks before taking action. Understand how structured reasoning differs from simply increasing prompt length or adding more instructions.
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15. Give Tools and Knowledge to an Agent ❌
Give tools and knowledge to CrewAI agents with AI Academy 1U so they can search, access external systems, retrieve information, and perform specialized actions. Learn how external capabilities extend agents beyond language generation alone.
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16. Build a Specialized Agent ❌
Build a specialized CrewAI agent with AI Academy 1U for a role such as researcher, analyst, support specialist, or compliance reviewer. Combine identity, goals, LLM configuration, tools, and knowledge into a complete professional agent.
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17. Understand CrewAI Tasks ❌
Understand CrewAI Tasks with AI Academy 1U as structured definitions of work an agent must complete. Learn how a task combines objectives, context, and expected output to guide agents toward specific and measurable results.
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18. Write Better Task Descriptions ❌
Write better CrewAI task descriptions with AI Academy 1U by clearly defining input, objective, constraints, and success criteria. Reduce ambiguity so agents can focus on execution instead of guessing what the task requires.
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19. Define Expected Outputs ❌
Define expected outputs in CrewAI with AI Academy 1U for reports, analysis, JSON, and business artifacts. Learn how precise output requirements make agent results easier to validate, reuse, and pass into later workflow steps.
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20. Pass Context Between Tasks ❌
Pass context between CrewAI tasks with AI Academy 1U by using previous task results as input for later steps. Learn how context sharing supports multi-stage workflows in which each agent builds on earlier work.
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21. Build a Multi-Task Research Pipeline ❌
Build a multi-task research pipeline with CrewAI and AI Academy 1U using research, analysis, synthesis, and final output stages. Connect tasks through shared context to create a structured end-to-end information workflow.
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22. Understand CrewAI Tools ❌
Understand CrewAI tools with AI Academy 1U as capabilities agents can call to search, access websites, query databases, connect APIs, or perform external actions. Learn why tools are essential for practical agentic systems.
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23. Use Built-In CrewAI Tools ❌
Use built-in CrewAI tools with AI Academy 1U by exploring common categories such as search, websites, files, and databases. Learn how ready-made tools can quickly add external capabilities to specialized agents.
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24. Build a Custom Tool ❌
Build a custom CrewAI tool with AI Academy 1U by packaging a business capability, service, or API into a function an agent can call when needed. Learn how custom tools connect agent reasoning with real operational systems.
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25. Connect External APIs ❌
Connect external APIs to CrewAI agents with AI Academy 1U so agents can retrieve or update information in outside services. Learn how API access turns an agent from a passive assistant into an active workflow participant.
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26. Understand MCP in CrewAI ❌
Understand Model Context Protocol in CrewAI with AI Academy 1U and learn how MCP provides a standardized way to connect agents with external tools and data sources. Explore how MCP expands reusable agent capabilities.
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27. Build an Agent with MCP Tools ❌
Build a CrewAI agent with MCP tools and AI Academy 1U by connecting an MCP server and allowing the agent to select appropriate capabilities for a business task. Apply standardized tool integration in a practical project.
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28. Understand CrewAI Crews ❌
Understand CrewAI Crews with AI Academy 1U as groups of agents and tasks working together toward a shared outcome. Learn how a Crew coordinates responsibilities, collaboration, and execution across multiple specialists.
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29. Build Your First Multi-Agent Crew ❌
Build your first multi-agent Crew with CrewAI and AI Academy 1U by combining researcher and writer agents in one workflow. See how task delegation and collaboration work in a simple but practical multi-agent process.
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30. Understand Sequential Processes ❌
Understand sequential processes in CrewAI with AI Academy 1U by running agents and tasks in a defined order and passing results between steps. Learn how predictable sequencing supports structured business workflows.
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31. Design Agent Roles for Collaboration ❌
Design CrewAI agent roles for collaboration with AI Academy 1U by dividing business processes into distinct specialties. Learn why complementary roles are more effective than creating multiple agents with nearly identical responsibilities.
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32. Build a Professional Multi-Agent Crew ❌
Build a professional CrewAI multi-agent team with AI Academy 1U using researcher, analyst, writer, and reviewer roles. Coordinate specialized tasks to produce higher-quality outputs through structured collaboration and review.
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33. Understand CrewAI Flows ❌
Understand CrewAI Flows with AI Academy 1U and learn the difference between Crew collaboration and Flow orchestration. Explore how Flows control sequence, branching, state, and deterministic application logic around agentic components.
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34. Build Your First Flow ❌
Build your first CrewAI Flow with AI Academy 1U by defining a start step and connected execution steps. Learn the fundamentals of event-driven orchestration and how Flow logic coordinates application behavior.
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35. Understand Flow State ❌
Understand Flow state in CrewAI with AI Academy 1U by learning how data can be stored and passed throughout a single execution. See how state keeps workflow steps connected and aware of earlier results.
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36. Use Structured State ❌
Use structured state in CrewAI Flows with AI Academy 1U by defining clear schemas for runtime data. Learn how structured state improves validation, predictability, and reliability when workflows become more complex.
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37. Add Conditional Routing ❌
Add conditional routing to CrewAI Flows with AI Academy 1U so workflows can choose different execution paths based on output, status, or business rules. Learn how branching makes applications more adaptive and controlled.
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38. Combine Crews Inside Flows ❌
Combine Crews inside CrewAI Flows with AI Academy 1U by using deterministic Flow logic as the application backbone and invoking Crews where agentic reasoning is needed. Learn a key architecture pattern for production systems.
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39. Understand CrewAI Memory ❌
Understand CrewAI Memory with AI Academy 1U by distinguishing temporary run state from information remembered across executions. Learn when persistent memory adds real value to agents, Crews, and long-running workflows.
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40. Enable Memory for Agents and Crews ❌
Enable memory for CrewAI agents and Crews with AI Academy 1U so useful information can be retained and reused in later tasks. Learn how remembered context can improve continuity across repeated interactions.
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41. Remember, Recall and Forget ❌
Explore remember, recall, and forget operations in CrewAI with AI Academy 1U. Learn how cognitive memory can manage old, new, conflicting, or outdated information instead of treating every stored fact as permanently valid.
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42. Understand Knowledge Sources ❌
Understand CrewAI knowledge sources with AI Academy 1U by distinguishing persistent memory from documents and reference information agents use during tasks. Learn how domain knowledge supports more informed and grounded agent behavior.
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43. Build a Knowledge-Aware Crew ❌
Build a knowledge-aware Crew with CrewAI and AI Academy 1U by connecting specialized agents to real domain information. Test how agents retrieve, interpret, and apply relevant knowledge while completing collaborative tasks.
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44. Understand Agent Planning ❌
Understand agent planning in CrewAI with AI Academy 1U by learning how complex goals can be divided into smaller executable steps. Explore how planning supports long-running tasks that require structured reasoning and coordination.
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45. Design Long-Horizon Agent Tasks ❌
Design long-horizon CrewAI tasks with AI Academy 1U by breaking large goals into milestones and recovery points. Learn how structured checkpoints help agents maintain direction during complex or extended processes.
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46. Understand Agent Delegation ❌
Understand agent delegation in CrewAI with AI Academy 1U by allowing specialist agents to share or transfer tasks according to their roles. Learn how effective delegation helps multi-agent systems use expertise more efficiently.
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47. Understand A2A Agent Communication ❌
Understand A2A agent communication with CrewAI and AI Academy 1U. Learn how Agent-to-Agent protocols support discovery, communication, and collaboration between agents and Crews, complementing tool connectivity provided through MCP.
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48. Build a Collaborative Agent System ❌
Build a collaborative agent system with CrewAI and AI Academy 1U using multiple specialists that share context, tools, and responsibilities. Coordinate agents toward a single outcome while preserving clear role boundaries and task ownership.
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49. Understand Agent Guardrails ❌
Understand agent guardrails in CrewAI with AI Academy 1U as controls that evaluate output and behavior before a workflow continues. Learn why guardrails are important when agent decisions can trigger meaningful downstream actions.
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50. Validate Agent Outputs ❌
Validate CrewAI agent outputs with AI Academy 1U by checking structure, quality, and business constraints before results are accepted. Learn how systematic validation can prevent malformed or inappropriate outputs from moving downstream.
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51. Add Human-in-the-Loop Approval ❌
Add human-in-the-loop approval to CrewAI workflows with AI Academy 1U by creating checkpoints before high-impact actions. Learn how human review can balance automation speed with accountability and operational safety.
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52. Secure Tools and Enterprise Data ❌
Secure tools and enterprise data in CrewAI with AI Academy 1U by limiting agent permissions and avoiding unrestricted database or API credentials. Learn how governance, RBAC, and runtime controls reduce enterprise security risk.
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53. Build a Governed Agent Workflow ❌
Build a governed CrewAI workflow with AI Academy 1U by combining output validation, human approval, and restricted tools. Apply multiple safeguards to a realistic process where agent errors or unauthorized actions could create business risk.
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54. Understand Async CrewAI Execution ❌
Understand asynchronous CrewAI execution with AI Academy 1U by learning when independent tasks or calls can run concurrently to reduce processing time. Explore how native async, await, and streaming improve workflow responsiveness.
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55. Run Tasks and Agents Concurrently ❌
Run CrewAI tasks and agents concurrently with AI Academy 1U by executing independent research or processing operations in parallel and combining their results afterward. Learn how concurrency can reduce overall workflow latency.
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56. Understand Checkpointing ❌
Understand checkpointing in CrewAI with AI Academy 1U by saving runtime state so a workflow can be replayed, forked, or resumed without starting over. Learn why checkpoints matter for expensive or long-running processes.
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57. Build Recoverable Long-Running Flows ❌
Build recoverable long-running CrewAI Flows with AI Academy 1U by combining persistence, checkpointing, and error recovery. Design workflows that can pause, wait for human input, recover from failures, and continue safely.
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58. Test Agents and Crews Systematically ❌
Test CrewAI agents and Crews systematically with AI Academy 1U using normal cases, edge cases, bad inputs, and failed tool calls. Build repeatable scenarios that reveal reliability problems before production deployment.
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59. Trace Agent and Tool Activity ❌
Trace agent and tool activity in CrewAI with AI Academy 1U by monitoring LLM calls, tool calls, memory reads, and execution paths. Learn how observability helps explain system decisions and uncover failures or unnecessary cost.
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60. Optimize Reliability, Cost and Latency ❌
Optimize CrewAI reliability, cost, and latency with AI Academy 1U by reviewing model choices, number of agents, tools, and context usage. Learn how to avoid systems that are unnecessarily slow, expensive, or complex.
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61. Improve a Crew from Production Feedback ❌
Improve a Crew from production feedback with AI Academy 1U using an Observe, Diagnose, Refine, and Redeploy cycle. Learn how real usage data can guide systematic improvements to agents, tasks, tools, and workflows.
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62. Understand Crew Studio ❌
Understand Crew Studio with AI Academy 1U as a visual and prompt-driven environment for building agentic workflows. Learn how business users can create automation while engineers review, export, and extend generated systems in Python.
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63. Build a Multi-Agent Automation with Crew Studio ❌
Build a multi-agent automation with Crew Studio and AI Academy 1U by describing a process, generating an initial system, and reviewing the resulting agents, tools, and Flow. Learn how visual creation can accelerate agent development.
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64. Deploy and Observe Production Crews ❌
Deploy and observe production Crews with CrewAI and AI Academy 1U by moving agentic workflows into live environments and monitoring runs, outcomes, and errors. Learn the operational workflow required after development is complete.
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65. Understand Enterprise Governance ❌
Understand enterprise governance in CrewAI with AI Academy 1U by exploring RBAC, audit trails, approval gates, and runtime controls. Learn how organizations manage access, accountability, and risk when agents operate at scale.
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66. Project: Multi-Agent Research & Intelligence System ❌
Build a CrewAI research and intelligence system with AI Academy 1U using researcher, source evaluator, analyst, report writer, and reviewer agents. Combine tools, knowledge, structured outputs, and collaboration into a professional information pipeline.
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67. Project: AI Operations & Document Processing System ❌
Build an AI operations and document processing system with CrewAI and AI Academy 1U. Create a Flow that receives documents or requests, extracts information, performs specialist analysis, applies business rules, requests human approval, and executes a final action.
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68. Final Project: Production Multi-Agent AI System ❌
Build a complete production multi-agent AI system with CrewAI and AI Academy 1U by integrating business processes, agents, tasks, tools, Crews, Flows, state, memory, knowledge, planning, MCP, A2A, guardrails, approval, async execution, checkpointing, testing, observability, and deployment.
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