Program profile · official sources
IBM Machine Learning Professional Certificate
The IBM Machine Learning Professional Certificate on Coursera is an intermediate-level program designed to prepare individuals for careers in machine learning. Instructed by IBM, the curriculum teaches students to use algorithms and statistical models to analyze data. Learners gain hands-on experience with supervised and unsupervised learning, regression, classification, deep learning, and reinforcement learning using Python, Jupyter Notebooks, and libraries like Scikit-learn and TensorFlow. The self-paced online program has a headline estimate of 3 months to complete at 10 hours a week, while the FAQ estimates 42 to 60 total hours of study. Earning the shareable provider-issued course certificate requires completing the 6-course series and a final capstone project. As shown in the United States on 11 October 2026, the program is taught in English.
Facts checked 11 Oct 2026
- Price
- See pricing
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available' as shown in the United States on 11 October 2026.
- Provider link
See price and enroll at IBM (official site) ↗
Official site. No commission.
- Time
- 3 months to complete at 10 hours a week
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile
- Prerequisites
- The provider recommends familiarity with programming on a Python development environment, a fundamental understanding of calculus, linear algebra, probability, and statistics, as well as a background in math, statistics, and computer programming.
- Format
- Online, flexible schedule, learn at your own pace
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Course 1: Exploratory Data Analysis for Machine Learning
- Course 2: Supervised Machine Learning: Regression
- Course 3: Supervised Machine Learning: Classification
- Course 4: Unsupervised Machine Learning
- Course 5: Deep Learning and Reinforcement Learning
- Course 6: Machine Learning Capstone
Prerequisites: The provider recommends familiarity with programming on a Python development environment, a fundamental understanding of calculus, linear algebra, probability, and statistics, as well as a background in math, statistics, and computer programming.
What you actually do
- Course 1: Exploratory Data Analysis for Machine Learning : 14 hours; Course 1 · Source
- Course 2: Supervised Machine Learning: Regression : 20 hours; Course 2 · Source
- Course 3: Supervised Machine Learning: Classification : 24 hours; Course 3 · Source
- Course 4: Unsupervised Machine Learning : 23 hours; Course 4 · Source
- Course 5: Deep Learning and Reinforcement Learning : 31 hours; Course 5 · Source
- Course 6: Machine Learning Capstone : 20 hours; Course 6 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / ibm-machine-learning
- Credential
- Shareable certificate · www.coursera.org / ibm-machine-learning
- Issuer
- IBM · www.coursera.org / ibm-machine-learning
- Sharing
- Add to your LinkedIn profile · www.coursera.org / ibm-machine-learning
- Exam requirement
- The program includes hands-on labs, a final capstone project, and a final presentation. Earning the credential requires program completion, but it is not explicitly established whether a separate comprehensive final exam is required. · www.coursera.org / ibm-machine-learning
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Change log
See price and enroll at IBM (official site) ↗
Official site. No commission.