Master Program in Agentic AI Engineering

Build Production-Ready AI Agents, RAG Applications & Multi-Agent Systems

Duration: 6 Months | Industry-Oriented | Hands-On Learning

Master the technologies behind the next generation of AI applications. This comprehensive AI/ML and Generative AI program is designed to help learners develop practical skills in Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, MCP, APIs, databases, cloud deployment, and AI security.

Through hands-on learning and real-world projects, you will progress from Python and Machine Learning fundamentals to building intelligent AI agents and deploying production-ready AI applications.

The program covers leading AI technologies and frameworks including OpenAI, Gemini, Hugging Face, LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, FastAPI, FAISS, ChromaDB, Pinecone, PostgreSQL, MongoDB, Docker, Azure AI and AWS.

By the end of the program, you will have practical experience developing AI solutions such as AI resume screening agents, customer support agents, research assistants, RAG chatbots, SQL query agents, email automation agents, travel-planning multi-agent systems, AI data analyst agents, and autonomous business assistants.

Tools & Technologies

Program Curriculum

Module 1

Python Programming for AI

Build a strong programming foundation for AI and Machine Learning development.

Python Fundamentals
Object-Oriented Programming (OOP)
File Handling
Exception Handling
Modules & Packages
Working with APIs
JSON
Virtual Environments
Git & GitHub

Module 2

Machine Learning

Learn the core concepts and techniques required to build and evaluate Machine Learning models.

Supervised Learning
Unsupervised Learning
Regression
Classification
Clustering
Feature Engineering
Model Evaluation
Scikit-learn
Model Deployment

Module 3

Deep Learning

Understand neural networks and the architectures powering modern AI applications.

Neural Networks
TensorFlow
PyTorch
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
LSTM
Transformers
Attention Mechanisms

Module 4

Generative AI & Large Language Models

Develop an understanding of modern Generative AI technologies and LLM-based applications.

Large Language Models (LLMs)
GPT
Gemini
Claude
Llama
Prompt Engineering
Tokenization
Function Calling
Structured Outputs

Module 5

LangChain & LLM Application Development

Learn how to build structured LLM applications and AI-powered workflows using LangChain.

Chains
Prompt Templates
Memory
Tools
Agents
Callbacks
LangSmith
Runnable Pipelines

Module 6

Retrieval-Augmented Generation (RAG)

Learn how to build AI applications that can retrieve and use information from external knowledge sources.

Embeddings
Chunking
FAISS
ChromaDB
Pinecone
Semantic Search
Hybrid Search
PDF Chatbots

Module 7

AI Agents

Learn the architecture and techniques used to create intelligent AI agents capable of performing multi-step tasks.

ReAct
Tool Calling
Planning
Reflection
Memory
Task Decomposition
Autonomous Workflows

Module 8

Multi-Agent Systems

Learn how multiple AI agents can collaborate to solve complex business and technical problems.

CrewAI
AutoGen
LangGraph
Task Delegation
State Management
Human-in-the-Loop Systems

Module 9

Model Context Protocol (MCP)

Understand how MCP enables AI applications and agents to interact with tools, databases and external systems.

MCP Architecture
MCP Servers & Clients
Tool Registration
Database Integration
Browser Tools
API Tools

Module 10

Databases & APIs for AI Applications

Develop the backend skills required to connect AI applications with databases and external services.

SQL
PostgreSQL
MongoDB
REST APIs
FastAPI
Authentication
Webhooks

Module 11

Cloud, Deployment & MLOps Foundations

Learn the fundamentals of deploying and operating AI applications in cloud environments.

Docker
Kubernetes Basics
Azure AI
AWS
Vertex AI
CI/CD
Application Monitoring

Module 12

AI Security, Evaluation & Governance

Learn essential practices for building safer, more reliable and production-ready AI systems.

AI Guardrails
Prompt Injection Protection
Privacy
Hallucination Reduction
AI Evaluation
AI Governance

Capstone

Hands-On Capstone Projects

Apply your skills by building real-world AI and Agentic AI applications.

AI Resume Screening Agent
HR Interview Scheduling Agent
Customer Support AI Agent
AI Research Assistant
SQL Query Agent
Email Automation Agent
RAG Knowledge Chatbot
Travel Planner Multi-Agent System
Healthcare Appointment Agent
AI Data Analyst Agent
Autonomous Business Assistant

Career

Career Opportunities

This program prepares learners for career paths including:

AI Engineer
LLM Engineer
AI Agent Developer
Generative AI Engineer
Machine Learning Engineer
RAG Developer
AI Automation Engineer
AI Solutions Architect

Duration	Start Date	End Date	Time	Holidays
5 months	15-Oct-26	15-Apr-27	Everyday 8 PM to 10 PM	20 Oct 2026 – Mahanavami/Ayudha Puja 21 Oct 2026 – Vijayadashami 10 Nov 2026 – Deepavali 27 Nov 2026 – Kanakadasa Jayanti 25 Dec 2026 – Christmas 31 Dec 2026 – New Year’s Eve 1 Jan 2027- New Year’s Eve 14 Jan 2027 – Makara Sankranti 26 Jan 2027 – Republic Day

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