🔥 Limited Time Launch Offer — Starter ₹299  |  Pro ₹399  — Prices go up in 15:00
Innovademy · New Course · Cohort Open

Build AI That
Knows Your Data.

Master Retrieval-Augmented Generation from scratch. Go from zero to deploying production-grade AI apps with live document intelligence — no hallucinations, no outdated answers.

📚 6 Chapters ⏱️ ~6.5 Hours 🐍 Basic Python Required 🎓 Certificate Included 🌐 Web · App · LMS
innovademy — rag-from-scratch-intro.mp4
Watch Course Introduction Click to play · 3 min free preview

30-day money-back guarantee · Lifetime access · Certificate included

12,400+
Students Enrolled
4.9★
Average Rating
50+
Verified Reviews
6.5h
Hands-on Content
100%
Project-Based

🌐 Learn on any device — progress syncs across all platforms

🌐
Web Browser
No install, access instantly
📱
iOS & Android App
Learn offline, on the go
🖥️
LMS Integration
Teams and enterprise access
🎧
Downloadable Content
Videos, code and notebooks
// What You'll Build

Real projects,
real skills.

Every concept taught through hands-on projects you can add to your portfolio the same day.

🤖

RAG Pipeline from Scratch

Build the full retrieve-then-generate loop with OpenAI, Chroma, and LangChain.

📄

50-Page PDF Chatbot

Ingest any PDF, chunk it intelligently, and query it with natural language.

💬

Conversational AI with Memory

Add chat history to your RAG system for natural multi-turn conversations.

📝

Chapter Quizzes

Reinforce every concept with auto-graded quizzes after each lesson. Know exactly where you stand.

🎯

Graded Assignments

Hands-on coding assignments with real datasets. Build muscle memory, not just theory.

🌐

"Chat with Docs" Web App

Full capstone: a production-grade app with Streamlit UI, ready to deploy live.

Advanced Techniques
that ship to production.

Go beyond basics. Learn the techniques top AI engineers use to build systems that are fast, accurate, and reliable — with dedicated labs, assignments, and real evaluation frameworks.

🔀
Hybrid Search
BM25 + Vector combined
🎯
Re-Ranking
Cross-encoder precision
💡
HyDE
Hypothetical doc embeddings
📊
RAG Evaluation
Precision, recall, faithfulness

6 chapters.
Zero fluff.

Every minute engineered to move you closer to production-ready AI.

Ch 01
Introduction to RAG
~35 min
  • What is RAG and why does it exist?8 min
  • The problem with LLMs: hallucinations and outdated data8 min
  • How RAG solves it: the retrieve-then-generate loop10 min
  • Course roadmap and tools we'll use9 min
Ch 02
Embeddings and Vector Stores
~70 min
  • What are embeddings? (visual intuition)15 min
  • Generating embeddings with OpenAI and sentence-transformers15 min
  • What is a vector database? (FAISS, Chroma, Pinecone)12 min
  • Storing your first embeddings in ChromaDB15 min
  • Similarity search: how retrieval actually works13 min
Ch 03
Document Loading and Chunking
~60 min
  • Loading PDFs, Word docs, and web pages15 min
  • Why chunking matters and how to do it right15 min
  • Fixed-size vs semantic chunking strategies12 min
  • Adding metadata to chunks for better retrieval10 min
  • Hands-on: ingest a 50-page PDF into your vector store8 min
Ch 04
Building the RAG Pipeline
~75 min
  • The retriever: fetching relevant chunks15 min
  • Crafting the prompt: injecting context correctly15 min
  • Passing context to the LLM and getting grounded answers15 min
  • Introduction to LangChain for RAG15 min
  • Conversational RAG: remembering chat history15 min
Ch 05
Advanced RAG Techniques
~70 min
  • Hybrid search: BM25 keyword + vector retrieval15 min
  • Re-ranking: picking the best chunks15 min
  • HyDE: hypothetical document embeddings trick12 min
  • Evaluating your RAG system (precision, recall, faithfulness)15 min
  • Common failure modes and how to fix them13 min
Ch 06
Capstone Project and Deployment
~80 min
  • Project: build a "chat with your docs" web app30 min
  • Adding a simple Streamlit or Gradio UI20 min
  • Deploying to the web (Hugging Face Spaces or Render)15 min
  • Where to go next: agents, GraphRAG, fine-tuning15 min

Earn your RAG
Engineer certificate.

Complete all chapters and the capstone project to receive a verified Innovademy Certificate of Completion — shareable on LinkedIn, your portfolio, or your resume.

  • Digitally Verified Certificate

    Includes a unique credential ID. Employers can confirm authenticity instantly via a shareable link.

  • LinkedIn Ready

    One-click share to your LinkedIn profile with your Innovademy credential ID.

  • Capstone Project Review

    Your deployed app is reviewed by our team before your certificate is issued.

  • Lifetime Validity

    Your Innovademy certificate never expires. Access your credentials anytime, forever.

🏆
Certificate of Completion

RAG Engineer
Certification

This certifies that the holder has successfully built, evaluated, and deployed a production-grade Retrieval-Augmented Generation system.

Issued by
Innovademy
Status
✓ Verified
// Student Reviews

50 engineers.
One verdict.

Real reviews from developers across India who built real AI systems with Innovademy.

Not just learn RAG.
Master it. Guaranteed.

Every outcome below is something you will be able to do — confidently, independently, and for any business use case.

🧠

Understand Exactly How RAG Works

You'll know the full architecture — from chunking and embedding to retrieval and generation. Not just the surface-level theory, but what's actually happening at every step under the hood.

⚙️

Build Different Types of RAG Systems

Simple RAG, Conversational RAG, Hybrid RAG, Agentic RAG — you'll know when to use each, how they differ, and how to implement every variant from scratch with real, working code.

🤖

Understand How Generative AI Works

Demystify LLMs — how they generate text, why they hallucinate, what tokens and context windows mean, and how RAG plugs into the generation process to produce grounded, trustworthy answers.

💼

Build RAG Chatbots for Any Business

Legal firms, hospitals, e-commerce, HR, finance, education — you'll know how to adapt RAG pipelines for any industry, any document type, and any real-world business requirement.

🚀

Deploy to Production Independently

You won't just write code — you'll ship it. Configure a full web app, containerize it, and deploy it to a live URL. A real product, in your portfolio, that real users can interact with.

🎯

Evaluate and Fix Any RAG System

Know how to measure RAG quality using precision, recall, and faithfulness scores. Diagnose failure modes, trace bad retrievals, and systematically improve accuracy in any pipeline you build or inherit.

🛡️
Our Outcome Guarantee

Complete the course, submit the capstone, and if you still can't build a working RAG chatbot for any use case — we'll give you a full refund, no questions asked. We're that confident in what we teach.

Claim Your Spot →
// Pricing

Simple pricing.
Limited time only.

Both plans include full course access, quizzes, assignments, and your verified certificate.

Starter
₹1,49980% OFF
299
Limited time · One-time · Lifetime access
  • All 6 chapters (6.5h video)
  • Chapter quizzes after every lesson
  • Graded assignments & exercises
  • Source code and Jupyter notebooks
  • Web + App + LMS access
  • Verified certificate of completion
Get Started — ₹299
These offer prices expire in 15:00
// FAQ

Common questions.

Everything you need to know before enrolling with Innovademy.

Do I need machine learning experience? +
No ML background needed. You only need basic Python knowledge — if you can write a for loop and import a library, you're ready. All core AI concepts are explained from scratch with visual intuitions before diving into code.
Which platforms can I access the course on? +
You can learn on your desktop via the web browser, on mobile via our iOS and Android apps, or through any LMS (Moodle, Canvas, Teachable etc.) if your organization uses one. Your progress syncs seamlessly across all devices.
Will I get a certificate after completing the course? +
Yes! After completing all 6 chapters and submitting your capstone project, you receive an Innovademy verified Certificate of Completion as a RAG Engineer. It includes a unique credential ID and can be added directly to your LinkedIn profile.
Is the ₹299 price real — what's the catch? +
No catch. This is a limited-time launch offer from Innovademy to get as many developers into AI engineering as possible. Once the countdown ends, the price returns to ₹1,999. Same content, same certificate, same lifetime access — just a higher price.
What tools and APIs do I need? Are they free? +
We use a mix of free and paid tools. ChromaDB, FAISS, and Hugging Face sentence-transformers are completely free. OpenAI API usage is optional — we teach free alternatives too. Total API cost during the course is typically under ₹200.
Is there a refund policy? +
Absolutely. We offer a 30-day no-questions-asked refund. If you complete less than 30% of the course and feel it's not for you, just email us and we'll process your refund within 24 hours.
How long do I have access to the course? +
Lifetime access. You get all current content plus every future update, new chapter, or bonus material Innovademy adds — at no extra cost. Learn at your own pace, rewatch lessons anytime.
Can I use what I learn here in a job or freelance project? +
100%. RAG is one of the hottest skills in AI engineering right now. Companies building internal chatbots, legal AI, healthcare AI, and document intelligence systems all need RAG engineers. The capstone project alone is portfolio-worthy.
Is there community support? +
Yes! You get access to our private Innovademy Discord community with 12,000+ engineers. Ask questions, share projects, get code reviews, and network with other RAG builders. Instructors are active in the community daily.
Do you support GST invoice for companies? +
Yes. After purchase you can download a GST-compliant invoice from your Innovademy account dashboard. For bulk or team purchases, email us and we'll handle the paperwork directly.

Your data deserves
smarter AI.

Stop building LLMs that guess. Start building AI that retrieves, reasons, and answers — grounded in your actual data.

🛡️ 30-day money-back guarantee  ·  🎓 Certificate included  ·  ♾️ Lifetime access