NVIDIA: Fundamentals of Machine Learning
NVIDIA: Fundamentals of Machine Learning is an intermediate-level online course from Coursera in Machine Learning. It is structured in 3 modules with 4 stated learning outcomes, over 6h 1m. Learners rate it 4.4/5 from 31 ratings on Coursera.
Part of our Machine Learning courses collection, where we compare it against 20 other courses. See all Machine Learning courses on Coursera.
Course highlights
| Provider | Coursera |
| Duration | 6h 1m |
| Level | Intermediate |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.4★ (31 reviews) |
| Price | Check price |
What you’ll learn
Level and time commitment
- A basic understanding of <strong>Generative AI, LLMs, AI/ML concepts, deep learning frameworks (TensorFlow/PyTorch), and Python</strong> is recommended.
Skills you’ll gain
What this course covers
3 modulesThe 3-part outline Coursera publishes for this course, across 6h 1m.
Module 1 · ML Basics and Data Preprocessing.
Module 2 · Supervised Learning & Model Evaluation
Module 3 · Unsupervised Learning, Advanced Techniques & GPU Acceleration
What learners rate it
Rated 4.4/5 by 31 learners on Coursera (checked 6 Nov 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 6 November 2026.
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Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one | |
|---|---|---|---|---|---|---|
| NVIDIA: Fundamentals of Machine Learning This |
 Coursera
|
4.4★ | Check price | 6h 1m | Most popular — 0 learners | |
| Machine Learning |
Coursera
|
4.9★ | Check price | 2 months | Highest rated (4.9★ from 39.5K reviews) | View ↗ |
| Machine Learning with Python |
Coursera
|
4.7★ | Check price | 20h 26m | For learners past the basics · 20h 26m | View ↗ |
| Machine Learning: Classification |
Coursera
|
4.7★ | Check price | 21h 25m | All Levels · 21h 25m · certificate | View ↗ |
Where Machine Learning leads
Roles we map to Machine Learning on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Coursera.
Browse every course we track for one of these — courses for data scientists.
Common questions
How much does NVIDIA: Fundamentals of Machine Learning cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does NVIDIA: Fundamentals of Machine Learning come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does NVIDIA: Fundamentals of Machine Learning take?
Coursera lists it at 6h 1m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is NVIDIA: Fundamentals of Machine Learning suitable for beginners?
Coursera lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.
What does NVIDIA: Fundamentals of Machine Learning cover?
It is organised into 3 modules, starting with ML Basics and Data Preprocessing. and going on to Supervised Learning & Model Evaluation, Unsupervised Learning, Advanced Techniques & GPU Acceleration. The full outline is on this page.