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Certificate from Duke University

MLOps | Machine Learning Operations Specialization

CertificateAdvanced
No ratings yetEdzopp score 8.0/10
Duration
6 months
Time needed
5 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

  • ML engineers who deploy models
  • DevOps engineers moving into ML
  • Data scientists who want production skills

Not ideal for

  • Beginners to Python or ML
  • People wanting theory only

About this course

Duke University's advanced series on putting machine learning into production: Python for MLOps, DevOps and DataOps, SageMaker and Azure ML, and MLflow with Hugging Face. About 145 hours over four courses. ₹1,888 a month on Coursera; Coursera suggests about 6 months at 5 hours a week (roughly ₹11,300).

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

What you’ll learn

  1. 1Python essentials for MLOps
  2. 2DevOps, DataOps and MLOps
  3. 3MLOps platforms: SageMaker and Azure ML
  4. 4MLOps tools: MLflow and Hugging Face

Skills and tools

MLOpsDevOps and DataOpsAmazon SageMaker and Azure MLMLflowModel deployment

Credential and career support

Certificate issued by
Duke University (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
₹11,328
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 5 hours a week, at your own pace.

Who is eligible?

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

Who issues the certificate?

You receive a certificate from Duke University, 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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