Learn to build powerful models in this Machine Learning Nanodegree with PyTorch. Master supervised, unsupervised, and deep learning techniques through projects involving customer segmentation and image classification.
- Nanodegree Program
- Intermediate
- 49 hours
- 4.7 (251)
- Updated: Aug 11, 2026

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- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
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- Program Certificates
Skills you'll learn
33 skills
- Naive bayes classifiers
- Gaussian mixture models
- Model evaluation
- Support vector machines
- Decision trees
- Single linkage clustering
- Dimensionality reduction
- Market segmentation
Prerequisites
9 prerequisites
Program Outline
- 12 courses
- 74 lessons
- 3 projects
Program Instructors
9 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Josh Bernhard
Staff Data Scientist

Mat Leonard
Senior Data Engineer, Octave

Andrew Paster
Instructor

Jennifer Staab
Instructor

Dan Romuald Mbanga
Instructor

Cezanne Camacho
Curriculum Lead

Sean Carrell
Instructor

Jay Alammar
Instructor

Luis Serrano, PhD
ML Engineer and Quantum AI Research Scientist

Josh Bernhard
Staff Data Scientist

Mat Leonard
Senior Data Engineer, Octave

Andrew Paster
Instructor

Jennifer Staab
Instructor

Dan Romuald Mbanga
Instructor
Reviews
Average Rating: 4.7 (251 Reviews)
Easy to follow material and clear instructions. There is a lot of information to get through but worth it in the long run. The projects are explained well also, and the feedback for any improvements is great and effective and prompt. Great place for any leader to looking to introduce AI into their business to complete.
M
Mark O'Brien
Jun 21, 2026
awesome, very useful
M
Malik Yasir Abbas
Jun 18, 2026
It´s a great way to AI world for corporate leaders who work with AI but are non-technicals
M
Mariano Mattioni
Jun 12, 2026
Excellent course for business leaders. It provides a clear, structured understanding of generative AI, from fundamentals to practical applications. The content is easy to follow and highly relevant for real-world decision-making. Especially valuable for leaders looking to drive AI adoption with the right strategy, governance, and use case prioritization
M
Maneeploy Kiatsuriyasak
Jun 3, 2026
Was really helpful. Covered all the high level over views.
G
Gopichand Matcha
Jun 2, 2026