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CrewAI
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CrewAI

Learn CrewAI to build AI agents, multi-agent workflows, tools, tasks, crews, and production-ready Generative AI applications through practical training and projects.

5/5(4,890 Reviews)

Level

Advanced

Duration

4 weeks

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About CrewAI

CrewAI Course is an advanced practical training program designed to help learners build AI agents and multi-agent workflows using the CrewAI framework.

The course covers the core concepts required to develop CrewAI applications, including agents, tasks, crews, tools, processes, workflows, memory, knowledge sources, and multi-agent collaboration. Learners understand how specialized AI agents can work together to complete complex tasks through structured workflows.

The training also covers CrewAI Flows, tool integration, retrieval-based applications, RAG workflows, guardrails, error handling, human-in-the-loop patterns, and production considerations. Learners gain practical experience designing AI systems that can coordinate multiple agents, use external tools, retrieve relevant information, and execute business-oriented tasks.

Through hands-on projects, learners apply CrewAI concepts to practical use cases such as enterprise knowledge assistants, research automation, customer support workflows, and multi-agent business automation.

The course is designed for professionals and learners who want to develop practical expertise in CrewAI, AI agent development, multi-agent systems, and Generative AI application development

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

CrewAI Course Curriculum

Module 1 — Introduction to CrewAI

Understand CrewAI fundamentals, architecture, and the role of AI agents in modern Generative AI applications.

Introduction to CrewAI
CrewAI Architecture
CrewAI Framework
AI Agent Fundamentals
Multi-Agent Systems
CrewAI Use Cases
Environment Setup
First CrewAI Application

Module 2 — CrewAI Agents

Learn how to create and configure specialized AI agents with defined roles, goals, and capabilities.

CrewAI Agents
Agent Roles
Agent Goals
Agent Backstories
Agent Configuration
Agent Behavior
Agent Behavior
Model Integration
Agent Collaboration

Module 3 — CrewAI Tasks

Learn how to define, assign, organize, and execute tasks within CrewAI applications.

CrewAI Tasks
Task Descriptions
Expected Outputs
Task Assignment
Task Dependencies
Task Context
Task Execution
Task Management

Module 4 — Crews & Processes

Build teams of specialized agents and control how they collaborate and execute tasks.

CrewAI Crews
Crew Configuration
Agent Responsibilities
Task Delegation
Sequential Processes
Hierarchical Processes
Agent Coordination
Multi-Agent Execution

Module 5 — CrewAI Tools

Learn how agents interact with external tools, APIs, databases, and services to perform real-world tasks.

CrewAI Tools
Built-in Tools
Custom Tools
Tool Calling
API Integration
Search Tools
Database Integration
Tool-Based Workflows

Module 6 — CrewAI Flows

Explore CrewAI Flows for building structured and controllable workflows around AI agents and crews.

Introduction to CrewAI Flows
Flow Architecture
Flow States
Flow Methods
Event-Driven Workflows
Conditional Execution
Workflow Control
Crew Integration

Module 7 — Memory & Knowledge

Learn how CrewAI applications maintain context and use external knowledge sources to improve agent capabilities.

Agent Memory
Crew Memory
Short-Term Memory
Long-Term Memory
Knowledge Sources
Context Management
Document Knowledge
Knowledge-Based Agents

Module 8 — RAG with CrewAI

Build retrieval-based CrewAI applications that allow agents to access relevant information from external knowledge sources.

RAG Fundamentals
Document Processing
Embeddings
Vector Stores
Retrieval
Knowledge Retrieval
RAG Workflows
RAG-Based AI Agents

Module 9 — Advanced Multi-Agent Workflows

Design advanced systems where multiple specialized agents collaborate, delegate tasks, and coordinate complex processes.

Multi-Agent Architecture
Agent Collaboration
Task Delegation
Agent Communication
Specialized Agents
Supervisor Patterns
Complex Workflows
Multi-Agent Orchestration

Module 10 — Human-in-the-Loop & Guardrails

Learn techniques for adding human oversight, validation, and safeguards to CrewAI workflows.

Human-in-the-Loop
Human Review
Approval Workflows
Guardrails
Output Validation
Error Handling
Agent Reliability
Controlled AI Execution

Module 11 — Testing, Evaluation & Debugging

Learn how to test, evaluate, troubleshoot, and improve CrewAI applications for reliable AI workflow execution.

CrewAI Testing
Agent Evaluation
Task Evaluation
Workflow Testing
Debugging
Error Analysis
Performance Evaluation
Output Quality
AI Workflow Optimization

Module 12 — Production CrewAI Applications

Apply advanced CrewAI concepts to design reliable, scalable, and practical multi-agent applications for real-world use cases.

Production AI Architecture
Workflow Reliability
Observability
Application Monitoring
Deployment Considerations
Scalability
Security Considerations
Production Optimization
Real-World AI Applications
Capstone Project

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

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Upcoming Batches

Can't find a batch you were looking for?

Who Should Take CrewAI Training?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning CrewAI

CrewAI Developer

AI Agent Developer

AI Agent Engineer

Key Projects

Practical CrewAI Projects

Saint Gobain

Saint GobainEnterprise Knowledge Crew


Scenario: Build a CrewAI multi-agent system where specialized agents retrieve, analyze, and summarize enterprise information to provide contextual business responses.

Live Work:

  • Create specialized agents
  • Build knowledge workflow
  • Coordinate agent tasks
Outcome: Enterprise multi-agent knowledge system
WNS

WNSCustomer Support Crew


Scenario: Develop a CrewAI support workflow where specialized agents classify customer queries, retrieve relevant information, and generate appropriate responses.

Live Work:

  • Create support agents
  • Integrate relevant tools
  • Automate response workflow
Outcome: Multi-agent support automation
Bosch

BoschIndustrial Research Crew


Scenario: Build a CrewAI research system where multiple agents collaborate to collect, analyze, and summarize technical information for industrial decision-making.

Live Work:

  • Create research agents
  • Coordinate research tasks
  • Generate technical reports
Outcome: Automated industrial research system
Razorpay

RazorpayFinancial Analysis Crew


Scenario: Develop a CrewAI application where specialized agents research financial information, analyze findings, and produce structured insights through a multi-agent workflow.

Live Work:

  • Design financial agents
  • Implement analysis tasks
  • Generate structured insights
Outcome: Multi-agent financial analysis
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is CrewAI?

What is a CrewAI course?

What can I build with CrewAI?

What will I learn in a CrewAI course?

What are CrewAI agents?

What are Crews in CrewAI?

What is CrewAI and how does it work?

What is an agent in CrewAI?

What is a task in CrewAI?

What is a Crew in CrewAI?

What is the difference between an agent and a task?

What are tools in CrewAI?

CrewAI Certification

Upon successful completion of the course requirements, learners can receive a certificate recognizing their learning and practical understanding of CrewAI, AI agents, tasks, crews, tools, multi-agent workflows, CrewAI Flows, knowledge integration, RAG, and Generative AI application development.

The certification reflects the learner's participation and successful completion of the CrewAI Course and its applicable learning requirements, subject to TechPratham's certification criteria.

Industry-Recognized Certification

Certificate
CrewAI Course

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy
TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry
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