RootAxis Technologies
Regional Hubs: Coimbatore (HQ) Chennai Madurai Salem Trichy Erode Tiruppur
Artificial Intelligence & Data Science 16 Weeks Intensive 8-Week Industry Internship

Agentic AI Developer Course in Madurai

Architect and deploy autonomous AI agents, multi-agent systems, LangGraph, CrewAI, AutoGen, and self-governing enterprise workflows. 100% Live interactive online training in Madurai with an 8-week corporate AI agent internship and 1-on-1 GitHub pull request reviews.

Enquire About This Course
Production Repos on GitHub Madurai: 100% Live Interactive Online Training Verified Certification
Tuition & Schedule
Transparent Pricing
₹45,000 All-Inclusive Tuition
Flexible Installments from ₹15,000/mo (0% Interest)
  • Duration 16 Weeks Intensive
  • Training Mode 100% Live Interactive Online Training
  • Capstone Repos 3 Production Builds
  • Mentorship 1-on-1 Code Reviews
  • Internship 8-Week Corporate Work
Enquire & Reserve Batch Slot Chat with Program Advisor
100% Live Interactive Online Training for Madurai | Sole Campus: Peelamedu, Coimbatore
Alternative Pathway Looking for a different depth?

Explore Sibling Track: Agentic AI Application Developer (12 Weeks)

Full-Stack React, FastAPI & Business Workflows

View Agentic AI Application Developer
Specialization Pathway

Artificial Intelligence & Data Science

Live Interactive Online Cohort — Madurai

100% Live Interactive Online Training

Direct live online coding classes designed for Madurai engineering, BCA, and MCA students. Features live interactive lectures, GitHub project reviews, cloud sandboxes, and dedicated 1-on-1 mentor guidance.

100% Live Online training with cloud sandbox access. Join from anywhere in Madurai with no daily commute. Admissions Desk: +91 73581 10061
Program Architecture

Engineered for Production Standards

A rigorous curriculum designed around real git pull requests, live architecture reviews, and production-tested toolchains.

Curriculum Blueprint 2026 Production Standard
Agentic AI is the defining software engineering paradigm of 2026. While basic generative AI answers questions, Agentic AI takes action. This comprehensive 16-week Agentic AI Developer course at RootAxis Technologies in Peelamedu, Coimbatore equips developers to architect, orchestrate, and deploy autonomous AI agents capable of multi-step reasoning, tool execution, persistent memory management, and multi-agent collaboration. Master industry-standard frameworks including LangGraph for cyclic graph orchestration, CrewAI for role-playing agent teams, Microsoft AutoGen for conversational multi-agent systems, and the Model Context Protocol (MCP). Learners in Madurai build autonomous software engineering, financial research, and operational agents, backed by a verified corporate AI agent internship.
Lab-to-Lecture Ratio
70% Hands-On Coding / 30% Theory
8-Week Corporate Internship
Real sprint cycles, code reviews & live software deliverables
Madurai Online Cohort
100% Live Interactive Online Training · 100% Live Online training with cloud sandbox access. Join from anywhere in Madurai with no daily commute.
1-on-1 Mentorship Live Git Commits
Core Pillars

Key Learning Pillars

Three pillars engineered to bridge academic learning with production engineering teams.

01 // ARCHITECTURE Core Pillar

Autonomous Agent Architectures

Master ReAct reasoning loops, Plan-and-Solve patterns, Reflexion self-critique, and cognitive agent execution architectures.

02 // DEPLOYMENT Core Pillar

LangGraph & Stateful Workflows

Build stateful cyclic graphs with conditional edges, human-in-the-loop checkpoints, and time-travel persistence debugging.

03 // PORTFOLIO Core Pillar

Multi-Agent Swarms & MCP Integration

Coordinate teams of specialized agents using CrewAI, AutoGen, and Model Context Protocol (MCP) tool integration.

Measurable Competencies

What You Will Achieve

Demonstrated competencies validated through production code reviews and verified pull requests.

Architect autonomous AI agents capable of multi-step planning, tool selection, dynamic replanning, and stopping conditions.
Build stateful, fault-tolerant multi-agent graphs with LangGraph, including human-in-the-loop approval gates.
Coordinate role-playing agent crews using CrewAI and Microsoft AutoGen for complex enterprise workflow automation.
Implement multi-tiered agent memory systems (short-term state, episodic memory, vector semantic memory).
Integrate Model Context Protocol (MCP) tools, custom Python functions, and secure sandboxed code execution environments.
Deploy production-ready agent APIs with FastAPI, streaming responses, audit logs, and token cost telemetry.
Phase-by-Phase Roadmap

Complete Course Syllabus

Every module is fully crawlable, structured, and calibrated to 2026 industry standards.

Establish professional Python engineering standards. Covers syntax, variables, OOP architecture, dependency management, and Git collaboration workflows.

Modules & Core Topics Covered:
Python syntax, variables, data types and operators Conditional statements and loops Functions, arguments and return values Lists, tuples, dictionaries and sets Object-oriented programming (OOP) Modules, packages and exception handling File handling and JSON processing Virtual environments and dependency management Git, GitHub and debugging

Understand how frontier models operate under the hood. Covers Transformer architecture, tokens, context windows, and model inference limits.

Modules & Core Topics Covered:
Introduction to Artificial Intelligence Machine learning and deep learning overview Generative AI concepts and applications Large Language Models (LLMs) Tokens, context windows and model parameters Transformer architecture fundamentals LLM inference and limitations Hosted models and local models AI API integration

Construct deterministic and structured model interactions. Master system prompts, few-shot examples, JSON schemas, and hallucination prevention.

Modules & Core Topics Covered:
System, user and developer instructions Zero-shot and few-shot prompting Chain-of-thought concepts and task decomposition Structured outputs and JSON schemas Prompt templates and reusable prompts Context engineering Output validation Prompt testing and optimization Hallucination identification

The bridge from prompt response to autonomous agency. Study goals, observations, actions, states, and the ReAct execution loop.

Modules & Core Topics Covered:
AI chatbot vs AI assistant vs AI agent Introduction to Agentic AI Agent architecture and components Goals, observations, actions and state Agent execution loops ReAct-style patterns Planning and task decomposition Autonomous vs human-supervised agents Agent decision-making and stopping conditions

Give agents the power to interact with the real world. Learn tool schemas, custom Python tools, database connectors, and safe execution limits.

Modules & Core Topics Covered:
Function calling and tool schemas Creating custom Python tools API integrations Database tools Search and retrieval tools Tool selection and routing Input validation and error handling Retries, timeouts and execution limits Safe tool permissions

Implement short-term, long-term, and persistent memory. Handle context window summarization and user-specific memory isolation.

Modules & Core Topics Covered:
Short-term memory Long-term memory Conversation history Context windows and summarization Memory storage strategies User-specific memory isolation State management Persistent memory using databases Memory privacy and retention

Ground your agents in enterprise knowledge. Master chunking strategies, vector search, hybrid retrieval, and citation verification.

Modules & Core Topics Covered:
Embeddings fundamentals Semantic similarity Document processing Chunking strategies Vector database concepts Metadata filtering Retrieval-Augmented Generation (RAG) Hybrid search Reranking and retrieval evaluation Grounded responses and citations

Master LangGraph, OpenAI Agents SDK, and state machine orchestration. Build cyclical graphs, conditional edges, and human-in-the-loop gates.

Modules & Core Topics Covered:
Agent framework architecture OpenAI Agents SDK LangGraph Nodes, edges and state Conditional workflows Sequential and parallel execution Checkpointing and persistence Human-in-the-loop workflows Error recovery and workflow monitoring

Orchestrate multi-agent swarms. Study planner-executor-verifier architectures, agent delegation, supervisor agents, and conflict resolution.

Modules & Core Topics Covered:
Planning and execution strategies Planner-executor-verifier architecture Reflection and verification patterns Multi-agent system architecture Specialist agents and responsibilities Agent delegation and handoffs Agent communication and shared state Parallel agent execution Supervisor and coordinator agents Conflict resolution and failure handling Multi-agent evaluation and cost optimization

Wrap agents in high-performance web backends. Master FastAPI, Pydantic validation, async programming, streaming, and background queues.

Modules & Core Topics Covered:
FastAPI fundamentals REST API development Pydantic and data validation Async programming Streaming responses Database integration Background jobs Authentication and authorization API testing and documentation

Ship agents to production. Learn Docker containerization, cloud deployment, tracing, token budget safeguards, and latency optimization.

Modules & Core Topics Covered:
Application configuration Environment variables and secrets Docker fundamentals Deployment architecture Cloud hosting concepts Agent logs and tracing Token usage and cost monitoring Latency and performance optimization Caching and rate limits Failure recovery

Protect against prompt injections and tool abuse. Build automated evaluation benchmark datasets, audit trails, and human oversight gates.

Modules & Core Topics Covered:
Agent evaluation methodologies Test datasets and benchmarks Task success measurement Hallucination and reliability testing Prompt injection Tool security and permissions Data privacy Human approval workflows Audit trails Responsible AI and governance

Build a commercial-grade autonomous agent system. Complete system design, testing, Docker deployment, and GitHub portfolio review.

Modules & Core Topics Covered:
Problem identification and requirement analysis System architecture and database design Agent workflow planning Development and integration Testing and debugging Security validation Deployment Technical documentation GitHub portfolio
Portfolio Engineering

Production Capstone Projects

Every project is built directly on GitHub with branch protections, automated testing, and live cloud deployment.

rootaxis-labs / autonomous-research-market-intelligence-swarm Public Staging

Autonomous Research & Market Intelligence Swarm

Multi-agent system using LangGraph with supervisor routing, PDF parsing, live web search tools, fact-verification agents, and automated report synthesis.

LangGraph Python Tavily API ChromaDB FastAPI Docker
rootaxis-labs / model-context-protocol-mcp-database-api-copilot Public Staging

Model Context Protocol (MCP) Database & API Copilot

Tool-enabled autonomous SQL and REST agent with human-in-the-loop approval gates, transaction safety, and execution sandboxing.

Model Context Protocol (MCP) Python PostgreSQL LangGraph Docker
rootaxis-labs / production-customer-operations-support-agent Public Staging

Production Customer Operations & Support Agent

Full-stack FastAPI + LangGraph agent with persistent PostgreSQL memory, semantic search, streaming responses, and SLA cost tracking.

FastAPI LangGraph PostgreSQL Qdrant Docker LiteLLM
Industry Toolchain

Tools & Frameworks Mastered

Master the standard developer toolchain requested by hiring engineering teams.

Python 3.12 LangGraph CrewAI AutoGen Model Context Protocol (MCP) FastAPI PostgreSQL Qdrant Pinecone Docker LiteLLM Ollama
Learner Eligibility

Who Should Join & Prerequisites

Clear entry criteria designed for student success and job-market outcomes.

Target Audience Profile

Designed for software engineers, Python developers, backend engineers, AI/ML learners, and computer science students in Madurai and Tamil Nadu who want to specialize in autonomous agent systems and enterprise multi-agent architectures.

  • College students & fresh graduates seeking job-readiness
  • Working professionals upskilling into modern tech stacks
  • Final-year students preparing for placement seasons

Technical Prerequisites

Basic familiarity with computer operations and any programming language is helpful but not mandatory. We start with foundational programming logic and progressively transition into advanced system architecture.

Non-CS / Beginner Friendly: We offer 2 weeks of preparatory bridge modules covering programming basics, Git workflows, and command line tools for non-IT learners.
Transparent Terms

Tuition Investment & Batch Schedules

Clear educational investment with zero hidden admission fees, fine print, or surprises.

All-Inclusive Tuition
₹45,000 Total Program Fee

Covers all hands-on modules, live cloud sandbox access, mentorship, code reviews, and the 8-week corporate internship certificate.

  • Flexible installment splits (2 to 3 monthly payments)
  • Zero-cost EMI plans from ₹15,000 / month
  • No registration charges, hidden taxes, or exam fees
Check Eligibility & Reserve Slot

Cohort Batch Timings & Frequency

Cohorts start on the first and third Monday of each month. Choose the schedule that fits your routine:

Weekday Regular (Morning Batch)
Monday to Friday · Hands-on classroom lab & project sprints
9:30 AM – 1:30 PM
Weekday Evening (Working Professionals)
Monday to Thursday · Ideal for developers and college finalists
6:00 PM – 8:30 PM
Weekend Intensive Masterclass
Saturday & Sunday · Deep-dive project workshops & code reviews
10:00 AM – 4:30 PM
Campus: First Floor, Masakalipalayam Rd, Peelamedu, Coimbatore | Hybrid live stream available
Engineering Mentorship

Mentorship the Way Engineering Teams Work

No generic recorded videos or unmonitored lectures. You learn alongside experienced software engineers.

1-on-1 Code Reviews

Mentors review every Git commit and Pull Request, teaching clean code, modular architecture, and edge-case handling.

Live Lab Assistance

In-person lab stations and interactive remote screenshare debugging so you never remain stuck on technical errors.

Weekly Sprint Standups

Experience real agile sprint cycles, standups, and retrospective meetings mimicking modern software teams.

Corporate Internship

Official 8-week corporate software development experience certificate verifying production repo commits.

Market Alignment

Target Roles & Career Support

Aligned with current hiring requirements across modern software and AI companies.

₹7.0 - ₹14.0 LPA
Industry Salary Range
₹24.0 LPA
Mock Interview Rounds
Very High
Hiring Demand
Qualified Career Roles:
Agentic AI Engineer AI Systems Architect Autonomous Workflow Engineer LangGraph Developer AI Backend Engineer
Dedicated Placement & Career Services

RootAxis Technologies maintains relationships with 50+ software and IT hiring partners across Coimbatore, Chennai, and Bangalore. We provide end-to-end career enablement to ensure you succeed in technical interviews:

Resume & Portfolio Engineering: Transform your GitHub profile and CV to highlight tangible production repositories and metrics.
Technical Mock Interviews: Rigorous 1-on-1 coding challenges and architectural system design drills with senior tech leads.
Direct Hiring Partner Referrals: Fast-track interview scheduling directly with tech firms hiring for full stack and AI talent.
Corporate Internship Letter: Official verified credential attesting to your 8-week production repository contributions.
SUPPORT CENTER

Frequently Asked Questions

Direct answers regarding curriculum, batch timings, hands-on lab projects, and placement assistance in Madurai.

Need help choosing a course?
Free 1-on-1 counseling available Mon–Sat
Talk to a Career Counselor
The total course fee for the Agentic AI Developer program at RootAxis Peelamedu, Coimbatore is ₹45,000 all-inclusive. Flexible zero-cost installment options are available starting from ₹15,000 per month (3 installments). This includes all classroom labs, compute access, mentorship, and the 8-week corporate internship certificate.
Familiarity with Python fundamentals, basic SQL, and REST APIs is recommended. For engineering and non-CS college students who need foundational prep, RootAxis provides a 2-week coding bridge covering Python OOP, Git, and command-line tools before advanced agent modules begin.
The Agentic AI Developer track (16 weeks) is a Python-first, deep systems engineering program focusing on cognitive architectures, LangGraph cyclic state machines, multi-agent swarms, Model Context Protocol (MCP), and production API telemetry. The Agentic AI Application Developer track (12 weeks) is a product-building track focusing on React 19/Next.js frontends, full-stack integration, and business workflow automations.
Yes, every enrolled student who completes the required practical assignments and capstone repository milestones is awarded an official 8-week corporate software development internship with RootAxis Technologies, verifying production git pull requests.
Our flagship campus is located at 1st Floor, Masakalipalayam Road, above Kovai Pazhamudir Nilayam, Peelamedu, Coimbatore, Tamil Nadu 641004. We offer full classroom workstations, high-speed labs, and live hybrid options for remote learners.
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Frontend Internship
Admissions Open 2026

Ready to Master
Agentic AI Developer?

Connect directly with our engineering program advisors to discuss your background, batch schedules, and flexible payment options.

  • Dedicated Placement Assistance with 50+ Partners
  • 8-Week Industry Internship Certificate
  • 1-on-1 Code Reviews on GitHub
  • Peelamedu Classroom Lab & Live Hybrid
+91 73581 10061
info@rootaxis.in

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Agentic AI Developer
₹45,000 All-Inclusive
Agentic AI Developer
₹45,000
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