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IBM · on Coursera

IBM Machine Learning Professional Certificate

IBM Machine Learning Professional Certificate is a paid intermediate course from IBM, online. It's a paid subscription; the price is on the provider's page. It ends with a professional certificate.

Before you sign up

Suits learners with some Python, maths and statistics who want a hands-on grounding in classic machine learning algorithms. What stands out is the project focus, with labs in every course and a capstone. The main caveat is the time estimate: the page says 3 months at 10 hours a week in one place and 42 to 60 hours of study in another. A subscription is needed and no price is shown. For a more maths-led route, compare the Machine Learning Specialization from DeepLearning.AI.

Properties

Provider
IBM
Platform
Coursera
Format
Self-paced
Delivery
Online
Duration (as stated by provider)
3 months to complete at 10 hours a week
Level
Intermediate
Cost
Paid subscription. Price on the provider's page
Certificate
Professional certificate
Language
English
Funding
None
Next start
Start any time

Checked against IBM on Oct 22, 2026. Changed on Oct 26, 2026

Go to course on coursera.org

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What you'll learn

IBM's six-course Professional Certificate on Coursera for learners with some maths, statistics and Python. It covers exploratory data analysis, regression, classification, unsupervised learning, deep learning and reinforcement learning, using libraries such as scikit-learn, Keras and TensorFlow, and ends with a capstone project and an IBM digital badge.

  • Machine learning
  • Deep learning
  • Data science

Who it's for

  • Data scientists and analysts
  • Developers and engineers

Level: intermediate (as stated by the provider). Delivery: online, self-paced.

Prerequisites

Some background in maths, statistics and computer programming; labs and projects use Python.

How much does IBM Machine Learning Professional Certificate cost?

Paid subscription. Price on the provider's page. Coursera subscription; price not shown on the page; financial aid available.

Certificate: professional Certificate from IBM and an IBM digital badge (Coursera).

Where to take it

  • Paid, price not recorded yet on coursera.org, checked Oct 22, 2026.

Related certifications

How we chose these

Questions people ask

How much does this course cost?

Paid subscription. Price on the provider's page.

Is there a certificate?

Yes: professional certificate. The provider calls it "Professional Certificate from IBM and an IBM digital badge (Coursera)".

Do I need experience first?

It's an intermediate course. Prerequisites: Some background in maths, statistics and computer programming; labs and projects use Python.

When does it start?

Start any time.

Alternatives

How we chose these

Similar courses on machine learning

Other machine learning courses, same level first.
CourseDeliveryCostLevelHoursCertificate
Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C02 - English)AWS Skill BuilderOnline, self-pacedFree to learnSome parts paidIntermediate16Certificate not stated
Elements of AI: Building AIElements of AI (University of Helsinki / MinnaLearn)Online, self-pacedFree to learnCertificate EUR 50Intermediate50Paid professional certificate
Professional Certificate Program in Machine Learning & Artificial IntelligenceMIT Professional EducationOnline or in person$325,Level not stated16 or more days of qualifying Short Programs courses, completed within 36 monthsDuration (as stated by provider)Professional certificate
AWS Artificial Intelligence Practitioner Learning PlanAWS Skill BuilderOnline, self-pacedFree to learnExam USD 100Beginner8Paid exam certification

Free alternative: LLM Course from Hugging Face Learn, no certificate.

How we chose

  • Alternatives: Chosen from other courses of the same kind, then by shared topic. Closed courses are left out.
  • Related certifications: IBM's own certifications, with the price, validity and requirements each issuer states.
  • Similar courses: other machine learning courses, same level first.
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Go to course on coursera.org