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Agentic AI Course: Multi-Agent Systems with CrewAI

Best Agentic AI Course: Multi-Agent Systems with CrewAI Training In Pune With 100% Placement Assistance

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4.8
2,100+ Rating
20,000+ Students
By TECHNOGEEKS X AI
  • Last updated 02/2026
  • English
  • Certified Course
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What you'll learn

The Agentic AI Course with Multi-Agent Systems using CrewAI by Technogeeks X AI is designed to help students and professionals master the future of AI automation. This course focuses on building AI agents, autonomous systems, and multi-agent workflows that can think, plan, and execute complex tasks.

Starting from the fundamentals of multi-agent architecture, learners will understand how AI agents collaborate using advanced patterns like Planner-Executor-Critic, React reasoning, and tool-based decision making.

This hands-on training covers industry-leading frameworks such as CrewAI, LlamaIndex, and AutoGen, enabling students to build intelligent systems that can handle real-world automation, data analysis, and AI-driven workflows.

With the rise of Agentic AI and Generative AI technologies, companies are actively hiring professionals who can design AI agents, RAG systems, and autonomous AI solutions. This course prepares you for high-demand AI roles in startups and enterprises.

  • Build Multi-Agent Systems using CrewAI
  • Hands-on Projects with LlamaIndex & AutoGen
  • 30+ Hours of Practical AI Training
  • Learn Agentic AI & Autonomous Workflows
  • Real-World AI Automation Use Cases
  • Build AI Agents with Memory & Tools
  • RAG, ColBERT & Advanced Retrieval Systems
  • Portfolio & Resume Building Support
  • AI Project Guidance & Certification
  • Placement & Career Support in AI Domain

Agentic AI Course: Multi-Agent Systems with CrewAI

The Agentic AI Certification Course by Technogeeks X AI helps learners build intelligent systems that can plan, reason, collaborate, and execute tasks autonomously using multiple AI agents.

Agentic AI is the next evolution of artificial intelligence where AI systems act independently using tools, memory, and reasoning. These systems are widely used in AI automation, chatbots, research systems, and enterprise AI applications.

In this course, students will learn how to design multi-agent workflows where different agents perform roles like researcher, writer, reviewer, and executor to solve complex problems efficiently.

The program includes hands-on labs, real-world AI projects, and advanced agent orchestration techniques to prepare students for industry-level AI development.

Students will learn:

  • Multi-Agent Architecture & Agent Design Patterns
  • CrewAI Framework for AI Agent Orchestration
  • LlamaIndex Agents, Memory & Tool Integration
  • AutoGen Multi-Agent Conversations & Code Execution
  • ReAct Reasoning & Planner-Executor Systems
  • RAG, ColBERT & Advanced Retrieval Techniques
  • Building AI Systems with PDFs, APIs & Data Sources
  • Agent Safety, Guardrails & Monitoring

Hands-On Projects & Labs

  • Build Task-Based AI Agents using LlamaIndex
  • Create Multi-Agent Teams with CrewAI
  • Develop AI Code Execution Agents with AutoGen
  • Implement AI Safety, Guardrails & Evaluation Systems
  • Final Project: Multi-Agent Analyst System with Reports & Charts

Flexible Learning Options

Technogeeks X AI offers flexible learning modes for students and working professionals:

  • Classroom Training in Pune
  • Online Live Instructor-Led Training
  • Hybrid Learning Mode

Choose weekday or weekend batches and start your journey in Agentic AI and Multi-Agent Systems.

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Course Content

  • What is a multi-agent architecture
  • Role-based vs collaborative agents
  • Planner–Executor–Critic pattern
  • ReAct + Multi-step reasoning
  • Tool-augmented agents

  • LlamaIndex framework
  • QueryEngine and Agents
  • Tool-calling with LlamaIndex
  • Memory system
  • Handling PDFs, Excel, websites
  • Building tool-based reasoning agents

  • What is CrewAI
  • Agents, Roles, Tools
  • Crew workflow
  • Orchestrating multiple agents
  • Human feedback integration
  • Long-horizon tasks

  • Assistant agent
  • User proxy
  • GroupChat agents
  • Code execution
  • Guardrails
  • Multi-agent conversations

  • Why ColBERT improves retrieval
  • Hybrid search
  • Re-ranking
  • RAGFusion architecture

  • System must:
    • Research any topic
    • Summarize insights
    • Extract structured data
    • Generate charts
    • Produce final PDF report

HANDS-ON LABS

  • Create QueryEngine
  • Add tools (search, math, doc lookup)
  • Upload PDFs
  • Implement context memory

  • Researcher agent
  • Writer agent
  • Reviewer agent
  • Collaborative long-form output

  • Write + execute Python code
  • Generate dataset
  • Create visualization charts
  • Automate report creation

  • Guardrails
  • Tool misuse detection
  • Explainability
  • Autonomy levels
  • Logging and monitoring

Requirements

  • Basic knowledge of Python & APIs
  • Understanding of AI/ML concepts
  • Laptop with internet connection
  • Interest in building AI agents & automation

Description

  • Learn to build multi-agent systems using LlamaIndex, CrewAI & AutoGen
  • Hands-on projects with real-world AI workflows
  • Create agents for research, automation & code execution
  • Build a final end-to-end “Multi-Agent Analyst System”

Instructor

Praveen Sir
Advanced Educator
  • 2,100+ Reviews 4.7 Rating
  • 20,000+ Students

Our instructor is an experienced professional specializing in LlamaIndex, CrewAI, AutoGen, multi-agent systems, and advanced AI application development.

Review

4.7
Course Rating
63%
29%
6%
1%
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₹18,999 ₹23,999
10 Years of Excellence
360-degree program
  • AI IntegratedYes
  • Practical LearningYes
  • LecturesLive
  • Skill LevelBasic to Expert
  • QuizzesYes
  • CertificateYes
  • Live Doubt Clearing Yes
  • Placement CallsYes
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Frequently Asked Questions

1
What is Agentic AI and Multi-Agent Systems?

Ans:
Agentic AI refers to intelligent systems that can plan, reason, and act independently. Multi-Agent Systems use multiple AI agents working together to solve complex tasks using collaboration, tools, and memory, widely used in automation, research, and AI applications.

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2
Is Agentic AI a good career option in 2026?

Ans:
Yes, Agentic AI is one of the fastest-growing careers in AI and automation. Companies are actively hiring AI engineers who can build AI agents, automation systems, and multi-agent workflows using tools like CrewAI, AutoGen, and LlamaIndex.

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3
What topics are covered in the Agentic AI Course?

Ans:
The course covers modern AI agent frameworks and real-world applications. Topics include Multi-Agent Architecture, CrewAI, LlamaIndex Agents, AutoGen, RAG, ColBERT, ReAct reasoning, tool integration, and AI workflow automation.

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4
Do I need coding knowledge to learn Agentic AI?

Ans:
Basic programming knowledge is helpful but not mandatory for beginners. The course starts from fundamentals and gradually covers Python, AI tools, and frameworks needed to build AI agents and automation systems.

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5
What is the salary of an AI Agent Developer in India?

Ans:
Salaries depend on skills and experience in AI and automation. In 2026, entry-level AI engineers earn ₹6–12 LPA, while experienced professionals in Agentic AI and multi-agent systems can earn ₹15–40 LPA or more.

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6
Will I work on real-time AI projects?

Ans:
Yes, the course includes hands-on AI labs and real-world projects. You will build AI agents, multi-agent systems, automation workflows, and a final project like a Multi-Agent Analyst System with reports and visualizations.

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7
Does the Agentic AI course provide placement assistance?

Ans:
Yes, placement and career support are included. Students get resume building, portfolio projects, mock interviews, and job assistance for AI, ML, and automation roles.

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8
What is the duration of the Agentic AI course?

Ans:
The course duration is approximately 30 hours. It includes hands-on labs, AI projects, and practical training with frameworks like CrewAI, AutoGen, and LlamaIndex.

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9
What job roles can I apply for after this course?

Ans:
This course opens multiple AI career opportunities. Roles include AI Engineer, AI Agent Developer, ML Engineer, Automation Engineer, Prompt Engineer, and AI Solutions Architect.

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10
Is this course suitable for beginners and professionals?

Ans:
Yes, the course is designed for both beginners and experienced professionals. Whether you are a student, developer, or working professional, you can learn to build AI agents and advance your career in Agentic AI.

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The Complete Agentic AI Course: Multi-Agent Systems with CrewAI 2026: From Zero to Expert!
₹18,999 ₹23,999

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