AI and machine learning · Free · ₹0
RAG and Chatbots with LangChain
The skill Indian AI job posts name most often, built properly: a chatbot that answers from PLC and drive manuals, cites the page, refuses what it cannot find, and is measured on a test set. Loading and chunking, embeddings and hybrid search, the RAG chain, query translation, routing, re-ranking, evaluation, LangGraph agents and serving — on free models throughout.
Inside the course
From the lessons
What RAG is, and what it fixes
IBM Technology
LangChain: models, prompts, chains
codebasics
Loading and chunking documents
LangChain
Embeddings, vector stores and hybrid search
LangChain
The basic RAG chain and chat memory
LangChain
Better queries: multi-query, fusion, decomposition, HyDE
LangChain
Lesson frames belong to the creators named in the Credits below and are shown from YouTube.
What you will learn
Build a LangChain RAG pipeline end to end: load and chunk manuals with metadata, embed locally and search with hybrid retrieval and a re-ranker, generate cited answers with a refusal rule, handle follow-up questions, route questions between documents and a database, evaluate recall, correctness and refusal on a real test set, add a bounded corrective loop with LangGraph, and serve it with Streamlit or FastAPI — hosted or fully local.
- Load, clean and chunk vendor manuals so parameter tables survive
- Embed locally, search with hybrid BM25 + vector retrieval and re-rank with a cross-encoder
- Build a RAG chain that cites (doc p.N), refuses with NOT FOUND and handles follow-ups
- Route questions between manuals and a read-only database, with structured output
- Measure recall@k, correctness and refusal on a thirty-question test set, and improve one thing at a time
- Add a bounded corrective loop with LangGraph and serve the assistant, hosted or fully local
Course content
12 modules · 23 lessons · 9h 35m
In order, at whatever pace suits you. Each module ends with a practice task that builds on the last, and a short quiz.
- 01What RAG is, and what it fixes4 lessons33m
- 02LangChain: models, prompts, chains1 lesson46m
- 03Loading and chunking documents1 lesson5m
- 04Embeddings, vector stores and hybrid search2 lessons23m
- 05The basic RAG chain and chat memory1 lesson6m
- 06Better queries: multi-query, fusion, decomposition, HyDE5 lessons30m
- 07Routing and structured data2 lessons13m
- 08Re-ranking and advanced indexing3 lessons21m
- 09Evaluating a RAG system1 lesson2h 8m
- 10Agentic RAG with LangGraph2 lessons4h 14m
- 11Build, serve, keep private1 lesson14m
- 12Final assessment0 lessons0m
Requirements
- Who it is for
- Intermediate. Needs Python (the Python for AI course) and the Generative AI and LLM Foundations course, or equivalent.
- Software
- Google Colab or a laptop; LangChain, sentence-transformers, FAISS; a free OpenRouter key or Ollama.
- Hardware
- None. A laptop with 8 GB RAM for the fully local build.
RAG and Chatbots with LangChain at a glance
RAG and Chatbots with LangChain is a free, self-paced online ai and machine learning course from EDWartens India with 12 modules, 9h 35m of video lessons, written notes, practice tasks and assessments, and an optional verifiable certificate.
- Price
- ₹0, free for good. No trial, no card. Comparable classroom training of this length costs about ₹5,999.
- Format
- 12 self-paced modules, 9h 35m of video, written notes, a quiz per module and a final assessment.
- Level
- Intermediate. Intermediate. Needs Python (the Python for AI course) and the Generative AI and LLM Foundations course, or equivalent.
- Brand
- Vendor-neutral
- Software
- Google Colab or a laptop; LangChain, sentence-transformers, FAISS; a free OpenRouter key or Ollama.
- Hardware
- None. A laptop with 8 GB RAM for the fully local build.
- Certificate
- Optional EDWartens Certificate of Completion, verifiable by code. Not a vendor credential.
- Video lessons by
- LangChain, Krish Naik, codebasics, IBM Technology, KodeKloud, Microsoft Developer, freeCodeCamp.org (independent creators, credited below)
- Language
- English
A shareable EDWartens certificate
Finish every module and pass the final assessment, and the optional EDWartens certificate is yours. It carries a unique verification code on a public page anyone can check, so it stands up when a recruiter looks it up. See it below.
- Add it to your LinkedIn profile in one click
- Link it from a CV or portfolio, the URL is permanent
- Publicly verifiable by code, not a PDF anyone can edit
- Issued by EDWartens India, the training centre itself
The course itself stays free whether or not you ever buy one.
Stuck? Ask a practising engineer
A free course usually means a comment section and hope. This one does not. Every module has an Ask-your-trainer panel that reaches the same engineers who teach our paid programme: people who commission panels for a living, not moderators.
- Questions answered in the context of the module you are on
- The same engineers who teach the AEP programme
- Career tools, CV help and public job listings included
- Your progress and notes stay in your account for good
Pairs well with
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Process control · FreeSiemens TIA Portal PID Compact and Analog ProcessingClosed-loop control the way it is done on an S7-1200 or S7-1500: analog in, NORM_X and SCALE_X, PID_Compact configured, tuned and wired to an HMI, analog or PWM out, proved on a free tank simulation.Learning paths with this course
- Applied AI engineer · 4 coursesThe four skills AI job posts name most: machine learning with scikit-learn, computer vision with OpenCV, deep learning with TensorFlow and Keras, and RAG chatbots with LangChain — each with a plant project.
Learner reviews
No reviews yet
Reviews here are written only by learners who have finished every module of RAG and Chatbots with LangChain, and they are published exactly as written. Finish the course and yours will be the first.
Common questions
What do I need before this course?
Comfortable Python and the ideas from the Generative AI course — tokens, prompts, embeddings. If you have done those two courses you are ready.
Do I need a paid API?
No. Hosted models come from OpenRouter's free tier; embeddings and the re-ranker run locally with sentence-transformers; FAISS is local. The fully local build with Ollama needs nothing online at all.
What are the projects?
A manual-reading assistant over three vendor manuals with citations, a re-ranker, a thirty-question evaluation and a Streamlit page; and an assistant over a year of maintenance work orders that routes text questions to RAG and counting questions to templated SQL.
Why so much on evaluation?
Because a RAG demo is easy and a RAG tool is not. The service desk in the project will accept the assistant when the numbers say recall above 0.85 and refusal at 1.0 — that is the standard the course teaches you to reach and to prove.
Is the course really free?
Yes. Every module, practice task, project and assessment. You create an account so your progress is saved and the assessments can be marked. The certificate is the only paid item, and only if you want it.
What certificate do I get?
An EDWartens Certificate of Completion, issued when you have submitted a project and passed the final assessment, with a verification code anyone can check. It is not a vendor credential and is never described as one.
Who made the video lessons?
The creators named in the Credits block at the foot of this page, on their own YouTube channels. EDWartens did not make the videos and the creators are not affiliated with EDWartens. What EDWartens wrote is the study plan, the notes, the practice tasks, the projects and the assessments.
What you walk away with
Your certificate for RAG and Chatbots with LangChain
Finish the course, pass the final, and this is the document with your name on it.
Verifiable by anyone
A unique certificate number and a public verification page. A recruiter checks it in ten seconds.
Adds to LinkedIn in one click
Issuer, credential ID and URL prefilled, with 5 matching skills to pin to your profile.
QR code on the certificate
Scans straight to the verification page, so a printed copy proves itself.
Names what you can do
Lists the topics covered, from loading, chunking and embedding documents to a manual-reading chatbot over plc and drive documentation.
A permanent link
Put it on a CV, a portfolio or an application. The URL never changes.
Earned, not attended
Issued only after every module and a final assessment at 70%, with three attempts. That is why it stands up.
Learning is free. The certificate is optional.
Add it now and pay only when you have finished the course, or come back for it later. One-off, ₹559, GST included, with a receipt.
Issued by EDWartens India (Wartens Automation Private Limited) as a Certificate of Completion for this self-paced course. It is not a vendor certification, a university award or a CPD-accredited activity, and it does not certify competence on live equipment. Delivered electronically; see the refund policy.
Credits
Who made the video lessons
The video lessons in this course were created by the people below, not by EDWartens. Every lesson streams from its creator's own YouTube channel; EDWartens neither hosts nor sells that footage, and the creators are not affiliated with EDWartens and do not endorse this course. What EDWartens wrote is the study plan, the notes, the practice tasks and the assessments.
- LangChainthe RAG From Scratch series
- Krish Naikthe complete RAG crash course with LangChain
- codebasicsthe LangChain crash course
- IBM TechnologyWhat is RAG
- KodeKloudRAG explained for beginners
- Microsoft Developerthe search-apps, RAG and agents lessons
- freeCodeCamp.orgthe LangGraph complete course
If you are one of these creators and would like a lesson removed or credited differently, write to info@wartens.com.