CrewAI Course Online

4 Lesson

16 Hours

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igmGuru offers a comprehensive CrewAI Training program designed for learners of all experience levels. The course covers all essential AI agent and multi-agent system concepts, including AI agent fundamentals, memory and knowledge integration, agent workflows, tool integration, agent collaboration, orchestration with Flows, debugging, monitoring, and deployment of AI systems. Our CrewAI course curriculum is crafted by industry professionals with extensive experience in AI, LLMs, automation, and multi-agent system design. Enroll in our CrewAI training to gain real hands-on experience, work on practical AI agent tasks, and prepare to design, develop, and deploy multi-agent AI systems for real-world applications.

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Overview

Prerequisites

Basic Python programming skills
Command-line / terminal familiarity
Basic understanding of AI/LLMs and agents

What You Will Learn

Build and configure AI agents
Integrate AI workflows with Python
Enable agent communication and collaboration
Customize and fine-tune agent behavior
Use CrewAI tools and CLI commands
Debug and deploy AI agents
Work on hands-on projects for real-world applications

Career Opportunities After Completing this CrewAI Course

AI Agent Developer
Multi-Agent System Engineer
AI Automation Specialist
Machine Learning Engineer
AI Solutions Architect
Intelligent Systems Consultant
R&D Specialist in AI
AI Product Manager

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
100% Job Assistance
Flexible Schedule

Course Curriculum

Lesson 1 - Foundations of AI Agents

1. What are AI agents?

2. Use‑cases for AI agents

3. What makes an AI agent intelligent?

4. Building your first AI agent (with code)

5. Planning multi‑agent systems

6. Building multi‑agent systems (with code)

7. Multi‑agent systems in production

8. Debugging, observing, optimizing agent systems

9. Real-world scaled use‑cases of multi‑agent systems

Lesson 2 - Working with AI Agents

1. Understanding AI agent workflows

2. Incorporating memory & knowledge into agents

3. Controlling agents with guardrails

4. Controlling agents with execution hooks

5. Using custom tools in agents

6. Integrating tools into agent workflows (with code)

7. Adopting protocols (like Model Context Protocol) to expand agent capabilities

8. Building no-code agents (i.e. using agent frameworks without manual coding)

Lesson 3 - Managing Systems of AI Agents

1. Collaboration among agents

2. Inter-agent communication strategies

3. Designing coordination patterns (sequential, parallel, hierarchical, hybrid, async) (with code)

4. Using orchestration tools like “Flows” for complex workflows

5. Building and running multi-agent flows (with code)

6. Ensuring reliability / robustness: tactics for reliable multi‑agent systems

7. Monitoring and observability for agent systems (tracing, logs, sampling, etc.)

8. CI/CD / continuous integration & deployment for agent systems

Lesson 4 - Applying AI Agents in Business

1. Applications of AI agents across industries and business functions

2. How to prioritize and choose useful agent use‑cases for business needs

3. Real-world case‑studies: conversational agents, co-pilots, automated workflows (from companies like Exa, Snyk, etc.)

4. Future of AI agents: trends and where agentic systems are going next

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1-800-7430-173 (US Toll Free)

+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 16 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 25 Jun 2026
Weekday Batch 29 Jun 2026
Weekend Batch 27 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

CrewAI Certification

We will provide a Course Completion Certificate to all learners who successfully finish the CrewAI training program. This certificate validates your knowledge of AI agent design, multi-agent workflows, tool integration, memory and knowledge management, agent collaboration, orchestration with Flows, and practical deployment of AI agent systems in real-world scenarios.

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CrewAI Course Online