Advanced Level

LLM & AI Model Development

Build, fine-tune and deploy Large Language Models (LLMs) and Generative AI applications.

4.9 Rating
1,200+ Students
3-4 Months
₹44,999 / course

Inclusive of all taxes & certification

Live Instructor Led
Lifetime Access
Project Reviews
Certification

Course Description

The modern course on Large Language Models (LLMs) and Generative AI. Learn to build AI-powered applications using GPT-4, Claude, Gemini, Mistral, and open-source LLMs like LLaMA 3, Phi-3, and Mixtral. Master prompt engineering, fine-tuning (LoRA/QLoRA), Retrieval-Augmented Generation (RAG), LangChain, vector databases, and deploying LLM-powered apps to production. This is the most in-demand AI skill in 2025-2026.

What you will learn:

  • Build production-ready AI applications using LLMs and RAG pipelines
  • Fine-tune open-source LLMs using LoRA and QLoRA techniques
  • Create intelligent chatbots, AI agents and autonomous workflows
  • Implement vector databases for semantic search (Pinecone, ChromaDB)
  • Master LangChain and LlamaIndex for LLM application development
  • Deploy LLM applications to production with FastAPI and Docker

Curriculum

Module 1: LLM Foundations & Prompt Engineering4 Lessons
How LLMs Work (Transformers, Attention)
Advanced Prompt Engineering
GPT-4, Claude, Gemini API Usage
Chain-of-Thought & Few-Shot Prompting
Module 2: RAG & Vector Databases4 Lessons
Retrieval-Augmented Generation (RAG)
Vector Embeddings & Semantic Search
Pinecone, ChromaDB, Weaviate
Advanced RAG Techniques (HyDE, Reranking)
Module 3: LLM Fine-Tuning4 Lessons
LoRA & QLoRA Fine-Tuning
Instruction Tuning
RLHF Concepts
Fine-Tuning LLaMA 3, Phi-3 on Custom Data
Module 4: AI Agents & Production Deployment4 Lessons
LangChain & LlamaIndex
AI Agent Frameworks (AutoGen, CrewAI)
FastAPI + Docker Deployment
LLM Monitoring & Evaluation (LangSmith)

Learn from the Best

Expert Instructor Team

Industry Veterans

Our courses are designed and taught by senior engineers from top tech companies with 10+ years of experience.

What Our Students Say

A

Anand Krishnamurthy

"Best LLM course globally, not just in India. The RAG pipeline module and fine-tuning section are extraordinarily detailed. Got hired as AI Engineer at ₹28 LPA!"

D

Deepika Menon

"I built a complete AI customer support system for my company using what I learned here. The LangChain and vector database modules are exceptional."

S

Shubham Tran

"The fine-tuning module alone is worth the entire course fee. Running LLaMA 3 on my own dataset and deploying it to production — mind-blowing experience!"

Frequently Asked Questions

What are the prerequisites for this LLM course?

Basic Python programming knowledge is required. Familiarity with machine learning concepts is helpful but not mandatory.

Do I need expensive GPU hardware?

No. We use Google Colab Pro, Lambda Labs, and cloud GPU services for fine-tuning exercises. We also teach optimisation techniques like 4-bit quantisation to run models on regular computers.

What is the job market for LLM engineers?

AI Engineers working with LLMs are among the highest paid professionals in 2025. Freshers earn ₹12-20 LPA and experienced professionals earn ₹30-80 LPA or $150,000+ abroad.