AI Training in ChennaiGenerative AI Training
Most Popular High Demand in 2026
Generative AI Training
in Chennai
Build production-ready Generative AI applications using LLMs, RAG pipelines, LangChain, and fine-tuning. The most in-demand skill set in tech mastered in 12 weeks.
12 Weeks
Intermediate Level
₹12–25 LPA
4.9/5 Rating
What you will build
Document Q&A chatbot with RAG
Fine-tuned domain-specific LLM
Multi-turn AI customer support bot
Full-stack Gen AI SaaS application
Semantic search engine
AI content generation pipeline
Course Overview
Duration12 Weeks
LevelIntermediate (Python basics needed)
ModeClassroom / Online / Hybrid
Batch DaysWeekday & Weekend
CertificationIndustry Recognized
Placement100% Support
Fee₹28,000 (EMI Available)
Detailed Syllabus
12-Week Generative AI Curriculum
Every module includes a real project. Graduate with 6 production-grade AI applications in your portfolio.
Module 1 · 2 Weeks
Foundations of Large Language Models
How LLMs work: transformers and attention mechanisms
Overview of GPT-4, Claude, Gemini, Llama, Mistral
Tokenization, context windows, and embeddings
LLM capabilities and limitations in production
Comparing open-source vs proprietary models
OpenAI API and Anthropic API setup and usage
Project:Build a document Q&A bot using OpenAI API
Module 2 · 2 Weeks
Prompt Engineering Mastery
Zero-shot, few-shot, and chain-of-thought prompting
System prompts and persona crafting
Prompt chaining and decomposition
ReAct pattern and tool-use prompting
Output formatting and JSON mode
Prompt security: injection attacks and mitigation
Project:Build an AI content generator with advanced prompting
Module 3 · 3 Weeks
RAG — Retrieval Augmented Generation
Why RAG solves LLM hallucinations
Vector databases: Pinecone, ChromaDB, Weaviate, Qdrant
Text chunking strategies and embedding models
Semantic search and hybrid search techniques
Building RAG pipelines with LangChain & LlamaIndex
Evaluating RAG quality: RAGAS framework
Project:Build a company knowledge base chatbot with RAG
Module 4 · 2 Weeks
LangChain & Orchestration Frameworks
LangChain LCEL (LangChain Expression Language)
Chains, memory, and conversation history
Tool use and function calling with LangChain
LlamaIndex: nodes, indices, and query engines
Streaming responses and async patterns
Debugging and tracing with LangSmith
Project:Multi-turn customer support chatbot with memory
Module 5 · 2 Weeks
Fine-Tuning & Model Customization
When to fine-tune vs use RAG vs prompt engineer
OpenAI fine-tuning API (GPT-3.5, GPT-4)
LoRA and QLoRA with HuggingFace PEFT
Preparing fine-tuning datasets (JSONL format)
Parameter-efficient fine-tuning techniques
Evaluating fine-tuned model performance
Project:Fine-tune Llama 3 for a domain-specific use case
Module 6 · 1 Week
Production Deployment & Capstone
Deploying Gen AI apps on AWS / Azure / GCP
FastAPI + LangChain backend architecture
Next.js frontend for AI applications
Cost optimization and rate limiting
Monitoring, observability, and logging
Capstone: end-to-end Gen AI product build
Project:Full-stack Generative AI SaaS application portfolio-ready
Gen AI Graduates
"The RAG module alone was worth the entire fee. I built a RAG pipeline for my company's internal docs and got promoted. The curriculum is genuinely up-to-date with what industry actually uses."
Deepa R.
Prompt Engineer at Freshworks
"Went from a backend developer to an AI architect in 4 months. The LangChain and deployment modules are extremely practical. I had job offers before even finishing the course."
Anand K.
AI Solutions Architect
Frequently Asked Questions
What is Generative AI and why should I learn it?
Generative AI refers to AI systems that can create content text, images, code, audio. Models like GPT-4, Claude, and Gemini are powering a new wave of applications. Learning Gen AI opens roles in AI product development, prompt engineering, AI solutions architecture, and more.
What prerequisites are needed for GenAI training?
Basic Python knowledge is recommended. You do not need deep ML expertise we cover the essential foundations before diving into LLMs and RAG systems.
What tools and frameworks will I learn?
You will work with OpenAI API, Anthropic Claude, LangChain, LlamaIndex, Pinecone, ChromaDB, HuggingFace, and deployment on AWS/Azure/GCP.
What salary can I expect after GenAI training?
Generative AI engineers and prompt engineers earn ₹12–25 LPA in Chennai. With AI product development skills, senior roles can exceed ₹30 LPA.
Build Real Gen AI Products Starting This Week
Free demo class available. See the curriculum live before enrolling.
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