🚀 NEW COURSE! — GenAI & RAG · 56% OFF Launch Offer · Limited Seats Enroll Now
🔥 New Course  ·  IIT Alumni Mentors  ·  Paid Internship

Build Intelligent AI Apps with Generative AI & RAG

From LLM fundamentals to production-ready RAG systems — master Prompt Engineering, LangChain, LlamaIndex, Vector Databases, and AI Agents with 15+ hands-on projects.

Choose Your Plan ↓ Talk to Counsellor
🎯 1-on-1 Mentorship from AI Industry Experts
🧠 Hands-on RAG & Agent Projects from Day 1
🦜
LangChain
🗄️
Vector DB
🔍
RAG
🧠
LLM
🤖
AI Agent
📐
Embeddings
⚡OpenAI GPT-4o
📦Pinecone
🦙LlamaIndex
🤗HuggingFace
$1.3T GenAI Market by 2032
4× Developer Salary Boost with GenAI Skills
10M+ New GenAI Jobs Forecasted by 2027
RAG The #1 Skill Hiring Managers Ask For
Program Highlights

Everything You Need to Master GenAI

15+ RAG Projects

Build document QA bots, AI agents, knowledge base search, and more — production-ready.

Lifetime Access

Access all content forever — including future updates as the GenAI landscape evolves.

Live Expert Sessions

Weekly live sessions on LLMs, prompt engineering, and RAG system design.

Paid Internship

Guaranteed 3-month paid internship (₹5,000–₹10,000/month) on AI projects.

Program Structure

From LLM Basics to Production RAG Systems

15+ modules · 120+ hours · 15+ real-world AI projects · LangChain, LlamaIndex, Vector DBs & more

Topics Covered
  • What are Large Language Models (LLMs)?
  • Transformers Architecture — Attention Mechanism explained
  • GPT, Claude, Gemini, LLaMA — differences and use cases
  • Tokens, Context Windows, Temperature, and Sampling
  • OpenAI & Anthropic APIs: first integration
Skills Acquired
LLMsTransformersOpenAI APIPrompt Design

Topics Covered
  • Zero-shot, few-shot, and chain-of-thought prompting
  • System vs. user messages, role-play prompts
  • Structured output with JSON mode & function calling
  • Token optimization and cost management
  • Mini-project: AI Content Generator
Skills Acquired
Prompt EngineeringFunction CallingJSON Output

Topics Covered
  • What is RAG (Retrieval-Augmented Generation) and why it matters
  • Document loaders, text splitters, and chunking strategies
  • Embeddings: OpenAI, HuggingFace sentence-transformers
  • Vector Databases: ChromaDB, Pinecone, Weaviate, FAISS
  • Similarity search: cosine, dot product, ANN algorithms
  • Project: PDF QA Bot with ChromaDB + GPT-4
Skills Acquired
RAGEmbeddingsChromaDBPineconeFAISS

Topics Covered
  • LangChain core: LLMs, Chains, Prompts & Memory
  • Document loaders, text splitters, retrievers in LangChain
  • RetrievalQA and ConversationalRetrievalChain
  • LangChain Expression Language (LCEL)
  • Project: Customer Support Bot with memory
Skills Acquired
LangChainChainsMemoryLCEL

Topics Covered
  • LlamaIndex architecture vs LangChain — when to use which
  • Document indexing, query engines, and routers
  • Sub-question query decomposition
  • Metadata filtering and hybrid search
  • Project: Enterprise Knowledge Base Search
Skills Acquired
LlamaIndexQuery EnginesHybrid Search

Topics Covered
  • What are AI Agents? ReAct & Reason+Act pattern
  • Tool use: web search, code execution, calculator
  • LangChain AgentExecutor and LangGraph basics
  • Multi-agent collaboration patterns
  • Project: Autonomous Research Agent
Skills Acquired
AI AgentsLangGraphTool UseReAct

Fine-tuning LLMs with LoRA/QLoRA, Multimodal AI (vision + text), Guardrails & AI Safety, FastAPI deployment, Docker, CI/CD for AI apps, LLMOps and monitoring.

120+ hours · 15+ Projects · Production-Grade Deployment

Get Full Curriculum
Request Full Syllabus
Tech Stack

Master the Full GenAI Toolchain

Every tool used by top AI engineering teams — covered in depth.

Python OpenAI Claude Gemini LangChain LlamaIndex HuggingFace ChromaDB Pinecone FAISS Weaviate Streamlit FastAPI Docker MLflow Git AWS LangGraph
Hands-On Experience

Build Production-Ready AI Apps

Every project is deployable and portfolio-worthy — solving real business problems with GenAI and RAG.

📚
Enterprise / Document AI

Multi-Document QA System

Build a RAG-powered chatbot that can answer questions over thousands of PDFs, Word docs, and web pages — with source citations.

LangChainChromaDBGPT-4Streamlit
🤖
Research / Automation

Autonomous Research Agent

Multi-step AI agent that searches the web, reads papers, synthesises findings, and generates detailed research reports autonomously.

LangGraphTool UseOpenAIFastAPI
💬
Customer Support / SaaS

AI Customer Support Platform

Full-stack support chat system with RAG on product docs, conversation memory, ticket routing, and escalation to human agents.

LlamaIndexPineconeReactFastAPI
🎙️
Media / GenAI + Audio

AI Podcast Intelligence App

Transcribe, summarise, extract key insights, and generate social clips from podcasts using Whisper, GPT-4, and LangChain.

WhisperGPT-4LangChainStreamlit
🏥
Healthcare AI

Medical Report Analyser

RAG system that reads lab reports and clinical notes, answers patient queries in plain English, and flags abnormal values.

LangChainFAISSClaudeFastAPI
🔧
Fine-Tuning / LLMOps

Custom Domain LLM Fine-Tuner

Fine-tune an open-source LLM (LLaMA / Mistral) on domain-specific data using LoRA/QLoRA — deploy with FastAPI on GPU cloud.

LoRAQLoRAHuggingFaceDocker
The AiWebix Advantage

Why Learn GenAI with Us?

🧬

Build Real AI Products

Every project is production-grade — not toy demos. Build apps you can deploy and show in interviews.

⚡

Live Expert Mentorship

1-on-1 sessions with AI engineers who have shipped RAG systems in production at scale.

🔬

Cutting-Edge Curriculum

Covers the latest: GPT-4o, Claude 3.5, Gemini, LLaMA, Mistral, LangGraph, and more.

🚀

Paid Internship on AI Projects

Work on real Generative AI products during your guaranteed 3-month internship.

Your Future

Career Outcomes

💼 Paid AI Internship
📄 Professional Resume
🤖 Production AI Portfolio
🤝 LLM Interview Prep

GenAI Engineers are Hired At:

Google Microsoft Amazon Tiger Analytics Fractal Analytics H2O.ai Quantiphi Accenture TCS Infosys
Enroll Today

Affordable Learning with ROI

Two plans — both with lifetime access to the most in-demand skill of 2025.

Upskill Plan

For professionals who want to master GenAI & RAG without internship — learn at your own pace.

₹14,999 ₹5,999
🎉 60% OFF — Launch Offer

💳 Easy EMI — No Credit Card, No CIBIL Check

Lifetime Access to All Modules
15+ GenAI & RAG Projects
Live + Recorded Sessions
Triple Certification
2 Mock Interviews
3-Month Unpaid Internship
Enroll Now

Paid Internship Plan

Best for students & freshers who want full mentorship, real AI projects & a paid internship.

₹29,999 ₹11,999
🎉 60% OFF — Launch Offer

💳 Easy EMI — No Credit Card, No CIBIL Check

Everything in Upskill Plan
Guaranteed 3-Month PAID Internship
Min Stipend ₹5,000/Month
1-on-1 Career Mentorship
Capstone AI Project + Industry Feedback
Portfolio & LinkedIn Optimization
Interview Prep + Internship Certificate
Enroll Now ↗
Student Reviews

What Our AI Students Say

"The RAG project on PDF QA blew my mind — we built a system in 3 hours that answered questions from 500-page documents with perfect accuracy. This is the best AI course I've seen."

— Rohan Verma, AI Engineer Intern
"I had no idea what vector databases were. After the ChromaDB + LangChain module, I deployed my own RAG chatbot on AWS — something I use daily now."

— Priya Menon, GenAI Developer
"The Agents module using LangGraph was incredible. We built a research agent that autonomously browses the web and synthesises reports — this is actual production-level content."

— Arnav Singh, ML Engineer
"Got my paid internship at an AI startup 3 weeks after completing the course. The portfolio projects made my interview incredibly easy."

— Neha Dubey, Intern @AI Startup
Questions

Frequently Asked Questions

Basic Python knowledge is recommended (or take our Python course first). No prior AI/ML or ML frameworks required — we build up from GenAI fundamentals.
Complete the course and assignments within 2 years and we guarantee a 3-month paid internship with a minimum ₹5,000/month stipend on real GenAI/AI product projects.
OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5), Google (Gemini), Meta (LLaMA), Mistral, and open-source models via HuggingFace — all covered with practical projects.
Yes — lifetime access includes all future updates. The GenAI space moves fast and we update the curriculum whenever major new tools or techniques emerge.
Request a refund within 7 days of enrollment. A 10% processing fee is deducted; the rest is refunded to your original payment method.
No — we use Google Colab (free tier) for fine-tuning exercises. For local GPU setups, we provide guidance, but it's entirely optional.

Have Questions?

Get free GenAI career counselling from our team.

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