The question I get from B.Tech students more than almost any other: “Should I do NPTEL or Coursera?” Usually what they’re really asking is “Is it worth paying for Coursera when NPTEL is free?” And the honest answer is that the price tag is the wrong place to start. NPTEL enrollment is free, with an optional proctored exam at the end for roughly ₹1,000 if you want the IIT-branded certificate. Coursera, after its India pricing reset, is around ₹13,999 a year for Coursera Plus, or roughly ₹1,699-3,000 for a single specialization. So Coursera costs real money and NPTEL essentially doesn’t. That gap makes people assume the decision is obvious. It isn’t.
I’ve been on the IT side of Securis long enough to watch the same mistake repeat: a student picks the free option, never finishes it, and ends the semester with nothing to show — versus another who pays, treats it like a sunk commitment, and actually completes a project. The cost of a course isn’t the fee. It’s the hours you spend on it. At 8-12 weeks of your life per specialization, the ₹1,000 difference is noise. What matters is which platform gets you specifically to the finish line with something an interviewer cares about.
What each platform is actually good at
NPTEL and SWAYAM are the IITs and IISc putting their real coursework online. For core engineering — signals and systems, thermodynamics, data structures, control theory, the genuinely hard theory papers — this is some of the best content available anywhere, free, taught by the people who set the curriculum. If you’re a B.Tech student trying to deepen a subject your own college taught badly, or prepping the fundamentals for GATE, NPTEL is excellent and the free price is almost a footnote. The certificate carries weight in Indian academic and PSU contexts specifically, where “NPTEL certified, IIT-graded” reads as a real signal.
Where NPTEL is weaker is hand-holding and applied, market-facing skills. The courses follow a fixed semester calendar, the production is lecture-hall style, and the assignments lean theoretical. If you need a deadline structure that bends to your schedule, or you want a polished applied track in cloud, data analytics, or ML with guided projects you can drop on GitHub, that’s not really what NPTEL is built for.
Coursera’s strength is the opposite. The applied professional certificates — the cloud tracks, data analytics, the DeepLearning.AI specializations — are built around projects you can actually show, with flexible deadlines and a completion structure designed to drag you across the line. The recognition is broader too: a hiring manager at a product company is more likely to nod at a Coursera DeepLearning.AI certificate than at an NPTEL machine-learning course, fair or not. The trade-off is that a chunk of the Coursera catalogue is filler — “business excellence” specializations that are mostly quizzes — and you pay either way.
Stacking a real learning budget for the year — Coursera Plus plus a paid exam or bootcamp? Apply for a Securis loan — typical disbursement is 1-2 working days. On a ₹40,000 learning budget over 24 months at our typical 14% rate, the EMI works out to roughly ₹1,920 a month.
The honest decision rule
Pick NPTEL if: you’re strengthening core engineering theory, prepping GATE, your target is higher studies or a PSU, or you simply haven’t proven to yourself yet that you finish online courses. There’s no reason to pay to find out whether you’ll stick with it. Burn through one free NPTEL course end-to-end first. If you sit the exam and earn the certificate, you’ve learned something about your own follow-through that’s worth more than the ₹1,000.
Pick Coursera if: you’re chasing an applied, market-facing skill (cloud, data, applied ML), you want project artifacts for a portfolio, you need flexible deadlines around internships or placements, and — this is the real precondition — you’ve already completed at least one course end-to-end before. Completion rates for paid online courses sit around 30-40% globally, and paying doesn’t magically fix that. The money only works if you’re the kind of person who treats a paid commitment as a reason to finish.
For most B.Tech students, the genuinely smart move isn’t either/or. It’s NPTEL for the deep theory you’ll be examined on, and one carefully chosen Coursera specialization for the applied, show-it-in-an-interview skill. That combination costs far less than a full Plus subscription if you buy the single specialization standalone, and it covers both bases.
Where a loan fits — and where it very much doesn’t
Let me be direct about our own product here, because it’s easy to over-sell. If your entire plan is NPTEL plus one ₹3,000 specialization, do not borrow for it. That’s a ₹4,000 outlay you should cover from pocket money or a month of saving. Taking a personal loan for that would be us doing you a disservice, and the EMI processing would cost more in friction than it’s worth.
Where a Securis loan genuinely fits is when learning costs stack into the ₹30,000-₹2,00,000 range and the timing matters — say Coursera Plus for the year, plus a proctored certification exam, plus a paid applied bootcamp, all landing in the same semester when your cash flow can’t absorb it in one shot. On a ₹40,000 budget over 24 months at our typical 14% rate, that’s about ₹1,920 a month — a number a student with a part-time stipend or a parent co-applicant can plan around. The two flows we run cover exactly this: parent-as-primary-applicant for current college students, and student-self for those already earning.
And to be clear about the boundary: if you’re funding a full formal degree or a ₹5L+ program, that’s a bank education loan, not a Securis personal loan — your bank’s education-loan desk is the right starting point. We’re built for the gap, not the whole bill.
If you want a second opinion on whether your specific learning plan justifies spreading the cost — or whether you should just pay out of pocket and skip borrowing entirely — WhatsApp us — we’ll be honest about whether Securis fits.