AI Training in ChennaiAgentic AI Training
Cutting Edge The Future of AI is Agentic
Agentic AI Training
in Chennai
Build autonomous AI agents that plan, reason, and act. Master LangGraph, AutoGen, CrewAI, and MCP the frameworks powering the next generation of AI applications.
14 Weeks
Advanced Level
₹18–35 LPA
5.0/5 Rating
What you will build
Autonomous ReAct agent
LangGraph research workflow
Multi-agent CrewAI team
Custom MCP server
Agentic RAG pipeline
Deployed production AI agent
Course Overview
Duration14 Weeks
LevelAdvanced (Gen AI experience recommended)
ModeClassroom / Online / Hybrid
Batch DaysWeekday & Weekend
CertificationIndustry Recognized
Placement100% Support
Fee₹32,000 (EMI Available)
Detailed Syllabus
14-Week Agentic AI Curriculum
From single ReAct agents to production multi-agent systems the most comprehensive Agentic AI curriculum in Chennai.
Module 1 · 2 Weeks
Foundations of AI Agents
What are AI agents and the ReAct pattern
Agent architectures: single vs multi-agent
Tool use and function calling with OpenAI
Planning: task decomposition and reasoning chains
Memory types: in-context, episodic, semantic
Limitations and safety of autonomous agents
Project:Build a ReAct agent that searches the web and summarizes findings
Module 2 · 3 Weeks
LangGraph Stateful Agent Workflows
LangGraph architecture: nodes, edges, and state
Building cyclical and conditional agent graphs
Human-in-the-loop (HITL) workflows
Checkpointing and resumable workflows
Parallel agent execution and fan-out patterns
Debugging agent graphs with LangSmith
Project:Research agent with LangGraph that produces structured reports
Module 3 · 3 Weeks
Multi-Agent Systems with AutoGen & CrewAI
AutoGen: conversable agents and group chats
CrewAI: roles, tasks, crews, and processes
Agent collaboration and task delegation
Code execution agents and sandboxing
Cost and performance optimization in multi-agent
Comparing frameworks: when to use what
Project:Multi-agent software development team (CrewAI) that writes and tests code
Module 4 · 2 Weeks
Model Context Protocol (MCP)
What is MCP and why it standardizes tool use
MCP server architecture and transports
Building custom MCP servers and tools
Integrating MCP with Claude, Cursor, and agents
Resources, prompts, and sampling in MCP
Real-world MCP integrations (GitHub, Slack, DB)
Project:Custom MCP server integrating internal business tools
Module 5 · 2 Weeks
Advanced Agentic Patterns
Long-running background agents
Event-driven agentic architectures
Agent evaluation and benchmarking
Guardrails and safety for production agents
Structured outputs from agents
Agentic RAG: agents that retrieve and reason
Project:Automated business intelligence agent with email reporting
Module 6 · 2 Weeks
Deployment & Capstone
Productionizing agentic systems
FastAPI + WebSocket for streaming agent responses
Containerization with Docker
Monitoring and tracing in production
Capstone project planning and execution
Portfolio presentation and interview prep
Project:Capstone: Full autonomous AI agent pipeline deployed to cloud
Agentic AI Graduates
"The LangGraph and MCP modules are unlike anything else available in Chennai. I built a multi-agent code review system during the course that my team now uses in production. Extraordinary training."
Sriram V.
AI Agent Engineer at Microsoft India
"CrewAI module opened my eyes to what's possible with multi-agent systems. Within weeks of finishing I designed an entire automation suite for my company using concepts from this course."
Kavitha M.
AI Automation Architect
Frequently Asked Questions
What is Agentic AI and how is it different from Gen AI?
Agentic AI involves AI systems that can autonomously plan, take actions, use tools, and complete multi-step tasks going beyond just generating content. While Generative AI creates output, Agentic AI acts. This is the next frontier of AI applications.
What prerequisites are needed for Agentic AI training?
You should have completed a Generative AI course or have solid experience with LLMs, Python, and LangChain. Our AI Beginners and Gen AI courses are ideal prerequisites.
What frameworks will I learn in the Agentic AI course?
You will build agents using LangGraph, AutoGen (Microsoft), CrewAI, and integrate with the Model Context Protocol (MCP). You will also learn tool use, memory, and planning patterns.
What roles can I get after Agentic AI training?
Agentic AI engineers are among the highest paid in tech. Roles include AI Agent Engineer, AI Automation Architect, LLM Systems Engineer, and AI Product Developer earning ₹18–35 LPA.
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