Coursera lists this Machine Learning Specialization as a three-course online program from Stanford Online and DeepLearning.AI, with Andrew Ng among its instructors. It offers a flexible, self-paced schedule. This is a source-researched guide; we have not completed the program. See the official course listing.

Is it suitable for a complete beginner?

The prerequisite FAQ recommends basic coding, including loops, functions and conditionals, plus school-level arithmetic and algebra. Use those requirements as a readiness check rather than relying only on a beginner label. Try writing a small program and explaining its result before choosing a paid learning route.

What should you check about the certificate?

The provider describes paid completion certificates and states that the specialization does not award university credit. Confirm exactly which certificate your selected plan includes. If an employer will reimburse you, ask them whether this credential qualifies before paying.

What will it cost in India?

A current Indian checkout price has not been verified here. Check the amount, billing frequency, trial terms, included courses and cancellation rules while signed into the provider. Keep a copy of the terms you accept.

For a recurring plan, estimate your likely number of paid billing periods, not just the first payment. Leave room for revision and assignment attempts. This is a budgeting method, not a quoted course price or completion guarantee.

A practical decision checklist

  • Match the syllabus to a problem you want to solve.
  • Look at an assignment example to judge the coding demands.
  • Reserve study time you can repeat each week.
  • Check what support you can use when you get stuck.
  • Confirm certificate, financial-aid and refund terms for your selected plan.

If you prefer scheduled teaching, compare what instructor access, attendance and feedback an alternative program provides. Browse our learning collection for other starting points.

Source and update

Provider page reviewed on 10 October 2026 IST. Pricing and access terms can change.