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Coursera
Certificate from Stanford Online

Machine Learning Specialization

CertificateBeginner
No ratings yetEdzopp score 8.0/10
Duration
2 months
Time needed
10 hrs a week
Schedule
Flexible
Mode
Self-paced
Experience needed
None
Language
English
Next batch
Ask an advisor
Certified by
Global university

Edzopp verdict

8.0
out of 10

A solid option. Its biggest strengths are flexibility and value. The weak spot is career support, so check that before you pay.

Credential9.0
Value9.6
Flexibility9.8
Career support4.8
Learner rating–

Coursera doesn’t publish learner ratings, so this course gets a neutral learner score: no bonus, no penalty.

How we score courses

Who it’s for

Best for

  • Beginners who want a solid ML foundation
  • Developers moving into AI
  • Students before a deep learning course

Not ideal for

  • Experienced ML practitioners
  • People wanting only GenAI tools

About this course

Andrew Ng's famous beginner machine learning programme from DeepLearning.AI and Stanford Online: regression, classification, neural networks, decision trees, recommenders and reinforcement learning, in Python. About 95 hours over three courses. ₹1,888 a month on Coursera; Coursera suggests about 2 months at 10 hours a week (roughly ₹3,800). Rated 4.9 from 39,000+ reviews.

Summary written by Edzopp. Always check the provider’s brochure for the final syllabus.

What you’ll learn

  1. 1Supervised ML: regression and classification
  2. 2Advanced learning algorithms: neural networks and trees
  3. 3Unsupervised learning, recommenders and reinforcement learning

Skills and tools

Supervised learningNeural networksDecision treesRecommender systemsReinforcement learning

Credential and career support

Certificate issued by
Stanford Online (Global university)
Credential type
Certificate
Career support
Not included
Included
Core curriculum only
Typical roles after
ML engineer, Data scientist, AI research engineer

Fees and EMI

Total fee
₹3,776
Taxes may apply

EMI figures are indicative and exclude interest unless marked no-cost. Ask an advisor about current scholarships.

Common questions

Can I do this course while working?

Yes. It needs about 10 hours a week, at your own pace.

Who is eligible?

No work experience is required. The course is pitched at beginner level.

Who issues the certificate?

You receive a certificate from Stanford Online, delivered with Coursera.

Is EMI available?

This course is paid in one go; EMI isn’t offered.

When is the next batch?

Coursera runs batches regularly and doesn’t publish a fixed date. Request a free call and an advisor will confirm the next start date for you.

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