9
AI learning paths compared
5
Scoring factors, weights published
₹0–5.9L
Fee range across the nine
7 Oct 2026
Date every fee was checked
Read this before the comparison
Shifttotech runs one of the programs compared below. We make money if you enroll with us. So instead of ranking ourselves first — the standard move on pages like this — we tell you exactly who each option is best for, including the people who would be better served elsewhere, and we link every fee and claim to its source.
The verdict in 60 seconds
You want a real credential and maximum depth
IIT Madras online BS in Data Science. Nothing else on this page matches it. It is also the longest path and, for the AI/ML specialisation, the most expensive.
You want to spend almost nothing
NPTEL plus DeepLearning.AI plus three or four GitHub projects. A legitimate route; it just demands self-discipline.
You are a working engineer who wants small live batches under ₹50,000
That is the one segment we built Shifttotech for — max 10 students, ₹35,000. This is the only row where we claim to win.
You want a big brand, a big alumni network, and can spend ₹2.5L+
Scaler, upGrad (IIIT-B) or Great Learning. Strong networks; verify their current placement terms in writing first.
You are a beginner on a tight budget who still wants structure
PW Skills or GUVI.
How we compared (and the weights we used)
Each program was scored from its official pages and independently verifiable sources — not from “best course” listicles, most of which are published by course sellers, including this one. That is the point of the disclosure above.
| Factor | Weight | What we checked |
|---|---|---|
| Curriculum depth & 2026 relevance | 25% | Published syllabus: does it reach LLMs, RAG, agents and MLOps — or stop at model training? |
| Verifiability of outcome claims | 25% | Can placement and salary claims be checked? Audited data, named companies, LinkedIn-traceable alumni — or just percentages? |
| Teaching format | 20% | Live vs recorded, batch size, and who actually teaches (faculty, partner or TAs) |
| Total cost & terms | 20% | Full fee to the stated credential, refund terms, placement-eligibility conditions |
| Credential value | 10% | What the certificate signals to Indian recruiters |
Why verifiability carries 25%: as of 2026, no major Indian AI course provider publishes independently audited placement data. Scaler’s last disclosed figures are for 2023, per The Ken. Treat every unaudited “95% placed” claim — anyone’s, including ours — as marketing until shown otherwise.
The comparison: 9 AI learning paths in India (2026)
IIT Madras — BS in Data Science & Applications
- Fee (sourced):
- ₹3.86–4.5L (BS); ₹4.86–5.9L to PG Diploma in AI/ML
- Duration:
- 4 yrs (BS); AI/ML PG Diploma comes after the BS
- Format:
- Online, IIT-taught, exam centres
- Placement model:
- Institute placement support
Best for: Students and career changers wanting a real degree
Biggest drawback: Years-long; the AI/ML specialisation requires completing the full BS first
NPTEL / SWAYAM (IITs + IISc)
- Fee (sourced):
- Free to learn; small exam fee per course
- Duration:
- Self-paced, 8–12 wks per course
- Format:
- Recorded academic lectures
- Placement model:
- None
Best for: Budget learners with discipline
Biggest drawback: No projects pipeline, no career support, low completion rates for self-paced study
DeepLearning.AI / Coursera (Andrew Ng)
- Fee (sourced):
- ~₹3–5k/month subscription
- Duration:
- 3–6 months per specialization
- Format:
- Recorded, self-paced
- Placement model:
- None
Best for: Self-learners and developers adding ML/GenAI fundamentals
Biggest drawback: Global certificate, zero India-specific career support
Scaler — AI & ML program
- Fee (sourced):
- ~₹2.5–3L
- Duration:
- 11–14 months
- Format:
- Live online, large cohorts
- Placement model:
- Placement assistance + referral network
Best for: Engineers wanting a large alumni network and structured DSA + ML prep
Biggest drawback: No placement data disclosed since 2023 (The Ken); premium price
upGrad — PG Program in AI & ML (IIIT Bangalore)
- Fee (sourced):
- ~₹3–4.25L
- Duration:
- 12–15 months
- Format:
- Online, live + recorded
- Placement model:
- Placement assistance, no guarantee
Best for: Professionals wanting an academic PG credential
Biggest drawback: Highest fee tier; delivery is upGrad’s, the credential is IIIT-B’s
Great Learning — AI programs (IIT Madras / UT Austin branded)
- Fee (sourced):
- ~₹2.6–4L
- Duration:
- ~12 months
- Format:
- Online, recorded + mentored
- Placement model:
- Career support
Best for: Professionals wanting university branding with flexibility
Biggest drawback: Partner-delivered; verify how much is recorded vs live before paying
GUVI (HCL) — AI & ML
- Fee (sourced):
- ~₹89,999
- Duration:
- ~6 months
- Format:
- Online, vernacular support
- Placement model:
- Placement cell
Best for: Beginners, including non-English-first learners
Biggest drawback: Less depth on the 2026 stack (LLMs, RAG, agents) than engineer-focused programs
PW Skills — AI / Data Science with GenAI
- Fee (sourced):
- ~₹15–20k
- Duration:
- ~6 months
- Format:
- Online
- Placement model:
- Career support
Best for: Students and first-jobbers on a budget
Biggest drawback: Large batches; entry-level depth
Shifttotech — AI Engineer Program (this is us)
- Fee (sourced):
- ₹35,000
- Duration:
- 16 weeks + project phase
- Format:
- Live only, max 10 students/batch, weekends
- Placement model:
- Placement support — see the outcomes section below and judge it yourself
Best for: Working engineers wanting small-batch live training on the 2026 stack (LLMs, RAG, MLOps) at a low fee
Trade-offs: no university credential, and a newer institute with a smaller alumni network than Scaler or upGrad
Fees and terms change often — every figure above was taken from the provider’s official page or the cited source on 7 October 2026; confirm before enrolling. “Placement assistance” does not mean a job guarantee for any provider on this list. For a fuller breakdown by provider tier, see our guide to AI course fees in India.
Capability scorecard
Comparison pages in this niche love twelve-column matrices where the publisher scores “Deep” on everything. Here is ours, with every cell stated as it is — including the ones where another option is stronger than us.
| IIT Madras BS | Scaler | upGrad/IIIT-B | DeepLearning.AI | Shifttotech | |
|---|---|---|---|---|---|
| Math & ML theory depth | Deepest | Good | Good | Good | Good — applied rather than academic |
| LLMs / RAG / agents (2026 stack) | Growing | Good | Good | Good | Deep — the core of our syllabus |
| Live instruction & batch size | Lectures + forums | Live, large cohorts | Mixed | Recorded | Live, 10 students maximum |
| Credential weight with recruiters | Highest | Good | Good | Moderate | Growing — a newer institute name |
| Alumni network size | Large | Very large | Large | Global but diffuse | Smaller and newer |
| Verifiable placement evidence | Institute reports | None since 2023 | Unaudited | N/A | Published terms you can check |
| Total cost to finish | ₹3.86L+ | ₹2.5–3L | ₹3L+ | ~₹15–25k total | ₹35k |
Which should you pick?
College student or fresher with time
IIT Madras BS. If the fee is a barrier, do NPTEL plus DeepLearning.AI first and apply to the BS qualifier later.
Software engineer (Java/.NET/PHP, 2–8 yrs)
You don’t need a degree — you need the 2026 stack (Python → ML → LLMs → RAG → MLOps) plus three or four deployed projects. That is us, or the free route if you are self-driven. Honestly: a disciplined engineer can get there with DeepLearning.AI, fast.ai and their own projects without paying us.
Want maximum brand on the CV, budget ≥ ₹2.5L
Scaler or upGrad — but get their current placement terms and median-salary numbers in writing first.
Complete beginner, tight budget
PW Skills or GUVI, then reassess after the foundations.
Non-IT professional (banking, manufacturing, healthcare)
Your domain plus AI is the premium combination. Start with foundations, free or low-cost, then pick a program that lets you build projects on your domain’s data.
If the LLM and RAG side is what interests you most, our generative AI course goes deeper on exactly that, and the AI engineer course page sets out the full career track.
Outcomes — the evidence we think every provider should publish
Every provider on this page claims placement success. Almost none shows evidence you can check. What we can state today: we have trained 500+ students and 100+ have been placed, with reported packages in the ₹12–18 LPA range. We are building the per-student version of this — name, LinkedIn profile, prior role, company joined and month, published with each student’s consent — and it will appear here as those consents come in.
Our standing challenge
Before you pay any institute on this page — including us — ask them for exactly that table for their last two batches: names with consent, LinkedIn profiles, prior role, company joined, and month. A provider that cannot produce it is asking you to buy a percentage. We also publish our position on guarantees in AI course with placement: real or fake?
Five questions that expose a weak AI course (ask us too)
Who actually teaches, and what have they shipped in the last 3 years?
“IIT-branded” often means an edtech partner delivers the teaching — TalentSprint, Simplilearn, Edvancer, Masai and others run several IIT-certified programs.
What is the maximum batch size — in the contract?
A number in marketing copy is not a commitment. Ask for it in the enrollment terms.
What did the median student from the last batch earn, and how long did placement take?
Highest-package numbers are marketing. The median is the number that describes your likely experience.
When was the LLM / RAG / agents content last updated?
A pre-GenAI syllabus in 2026 is obsolete, however strong the brand on the certificate.
What are the placement-eligibility conditions and refund terms, in writing?
Many “placement guarantees” quietly require internal test scores and attendance thresholds.
Our answers to the same five
Classes are taught by a working engineer, not a full-time trainer reading slides. Batches are capped at 10, and that cap is written into the enrollment terms. The LLM, RAG and agent modules are refreshed every batch, because model names and pricing move every few months. There is a 7-day full refund — the terms are in our refund policy and our terms. On median outcomes we publish what we can verify, which is the aggregate above.
FAQ
Which is the best AI course in India in 2026?+
There isn’t one “best” — it depends on what you need. Best credential: IIT Madras. Best free path: NPTEL plus DeepLearning.AI. Best small-batch live option under ₹50,000: ours, and that is the only claim we make for it. Best large-brand networks: Scaler, upGrad or Great Learning. Remember who published this page.
Is an IIT-branded certificate worth the premium?+
For IIT’s own degrees, yes. For short partner-delivered certificates, the IIT name opens doors but the teaching and placements come from the partner — so evaluate the partner, not the logo.
Does any course guarantee a job?+
No. “Assistance” means help, not an offer, everywhere on this page. No major provider currently publishes independently audited placement data, so demand written terms and median figures before paying anyone.
Can I skip paid courses entirely?+
Yes. NPTEL, DeepLearning.AI and fast.ai plus three or four public projects is a real path. Paid programs buy you structure, live feedback and interview preparation, not secret knowledge.
How much does an AI course in India cost in 2026?+
From almost nothing to several lakhs. NPTEL is free apart from exam fees, Coursera-style subscriptions run about ₹3,000–5,000 a month, small live programs sit between ₹15,000 and ₹90,000, and university-branded programs run from roughly ₹2.5 lakh to over ₹5 lakh. Our own program is ₹35,000.
Think the 10-student live format fits you?
Sit in one free live class first. If the teaching doesn’t beat what you would get free on YouTube, don’t enroll — and there is a 7-day full refund if you do and change your mind.
See the AI Engineer Program — ₹35,000Max 10 students/batch
Live instruction only
16 weeks + project phase
7-day full refund
Written by Sayeed Amaan
AI Lead, SophyXis Technologies · AI instructor at Shifttotech Academy
Sayeed teaches the live AI Engineer Program at Shifttotech, which is one of the nine options compared on this page. He works on NLP, computer vision and generative AI with Python, TensorFlow and PyTorch.
Sources
- IIT Madras — BS in Data Science: structure & fees (official)
- The Ken — independent reporting on Scaler’s placement disclosures
- DeepLearning.AI (official)
- NPTEL (official)
- Provider fee pages for Scaler, upGrad, Great Learning, GUVI and PW Skills, checked 7 October 2026
Published by ShiftToTech Private Limited. We sell one of the programs compared on this page; see the disclosure near the top. Last verified 7 October 2026. Corrections: Learning@shifttotech.co.in