New Batch enrolling now

GenAI & Agentic AI Master Program

Build autonomous AI agents, multi-agent systems and RAG pipelines using LangChain, LangGraph and IBM Watsonx — the skills every AI company is hiring for right now.

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Duration

9 Months

Mode

Live Online

Certified by

IBM Watsonx + IIT Patna

Live Online

9 Months

Learnbay

94% placed

Placement Rate 94%

Alumni 15,000+

Ravi Kumar AI Engineer @ TCS

"LangGraph and agentic workflows are exactly what companies are hiring for. This program put me ahead of 95% of applicants."

Sneha Patel GenAI Developer @ Infosys

"The hands-on agent projects are gold. I built 3 production-ready agents during the course."

What You'll Learn

Program Curriculum

Seven intensive terms from Python and LLM fundamentals through production-grade agentic systems — covering LangChain, LangGraph, RAG, fine-tuning, and LLMOps end to end.

Python fundamentals: syntax, data types, control flow

Functions, modules, OOP & decorators

NumPy, Pandas & data manipulation

Working with APIs and JSON data

Git & GitHub for version control

Python environment management with conda & venv

Transformer architecture & attention deep dive

Pre-training, instruction tuning & RLHF

Tokenisation, embeddings & vector representations

Prompt Engineering: zero-shot, few-shot, chain-of-thought

LLM evaluation: BLEU, ROUGE, human feedback

Responsible AI & hallucination mitigation

LangChain: chains, memory & tool integrations

Retrieval-Augmented Generation (RAG) architecture

Vector databases: Pinecone, ChromaDB, FAISS

Document loaders, chunking & embedding pipelines

IBM Watsonx.ai API integration & model hub

LLM fine-tuning: PEFT, LoRA, QLoRA

Hugging Face model training & inference

Autonomous agent design: ReAct, CoT, ToT

LangGraph: stateful, multi-step agent workflows

AutoGen: multi-agent collaboration frameworks

Tool use, function calling & API orchestration

Memory systems: short-term, long-term, episodic

Building autonomous research & coding agents

LLMOps lifecycle: versioning, evaluation, monitoring

Serving LLMs with FastAPI, vLLM & TGI

Docker & Kubernetes for GenAI workloads

CI/CD pipelines for AI applications

Guardrails, content filtering & output validation

Cost optimisation & latency management

Bias, fairness & transparency in LLMs

Jailbreak prevention & prompt injection defences

Regulatory frameworks: EU AI Act, GDPR

AI safety evaluation benchmarks

Building explainable & auditable AI systems

Startup-grade RAG-powered knowledge assistant

Multi-agent research automation system

LLM-powered document analysis pipeline

Autonomous coding assistant with code-execution agent

BYOP: bring your own project with mentor support

Tools & Technologies

What You'll Work With

LangChain LangGraph Python AutoGen OpenAI API IBM Watsonx Hugging Face Pinecone ChromaDB FAISS RAG Pipelines Prompt Engineering LLM Fine-tuning LoRA / QLoRA FastAPI Docker Kubernetes vLLM Git & GitHub Jupyter

Ideal Candidates

Who Should Enrol

IT Professionals with Python Knowledge

Software engineers, data analysts, or ML practitioners who already know Python and want to specialise in GenAI and Agentic AI systems.

ML / Data Science Professionals

Data scientists and ML engineers who want to expand into the fast-growing LLM and agentic AI space.

Tech Leaders & Architects

Engineering managers and solution architects who need hands-on GenAI skills to design and evaluate AI-powered systems for their organisations.

AI Startup Founders

Entrepreneurs building AI-first products who want deep technical GenAI expertise to lead engineering and build faster with LLMs and agents.

Credentials

Certifications You'll Earn

IBM Watsonx

IBM Generative AI Certificate

Industry-recognised credential from IBM validating expertise in GenAI, LLM deployment, and IBM Watsonx — accepted at MNCs and Fortune 500 companies globally.

IIT Patna

IIT Patna Collaboration Certificate

Academic prestige from India's premier IIT — strengthens your profile for senior AI roles and postgraduate applications.

AI Co-Lab

Startup Project Certificate

Employer-endorsed certificate from solving real GenAI and Agentic AI problems for live startups — portfolio evidence of production-level capability.

Microsoft Azure

Azure AI Fundamentals Certificate

Microsoft-backed cloud AI credential validating your ability to deploy and manage AI workloads on Azure — a top requirement in enterprise hiring.

Career Services

Complete Placement Support

Resume Building

ATS-optimised resumes tailored for GenAI and LLM engineer roles at AI-first companies and top tech firms.

Mock Interviews

Technical interview simulations covering LLM architecture, system design for AI apps, and coding challenges with senior industry mentors.

Interview Referrals

Direct interview calls at 350+ partner companies including Amazon, Microsoft, Meta, PayPal, and fast-growing AI startups.

LinkedIn Optimisation

Profile review and keyword strategy to get noticed by GenAI and ML recruiters at enterprise and startup companies.

24/7 Doubt Support

Dedicated support channels ensuring you never get stuck for more than an hour on any concept or project challenge.

1-on-1 Mentorship

Personalised guidance from GenAI practitioners at leading tech companies throughout your learning journey and job search.

Investment

Program Fee & Enrolment

₹1,59,000

+ 18% GST | EMI from ₹13,250/month

300+ hours of live instructor-led classes
3-year subscription with unlimited access
15+ guided hands-on GenAI projects
IBM Watsonx + IIT Patna certifications
Complete placement assistance
1-on-1 mentor sessions
AI Co-Lab startup collaboration

Enroll Now → Book Free Demo Class

No-cost EMI available on all major bank cards & NBFC partners

FAQ

Frequently Asked Questions

Basic Python knowledge is recommended. Familiarity with ML concepts or deep learning is a plus. The program starts with a Python refresher for GenAI, so intermediate programmers from any background can join.

This program focuses entirely on GenAI and Agentic AI — LLMs, RAG, LangChain, LangGraph, AutoGen, and production deployment. It is designed for professionals who want to specialise in AI systems that use large language models, not classical ML pipelines.

You will build 15+ real projects including a RAG-based knowledge assistant, multi-agent research system, LLM fine-tuning pipeline, and a startup-grade AI Co-Lab capstone project — all portfolio-ready.

Yes — 100% placement assistance including resume building, LinkedIn optimisation, mock interviews with industry experts, and direct interview referrals at 350+ partner companies.