NVIDIA: Fundamentals of Machine Learning
NVIDIA: Fundamentals of Machine Learning is a beginner-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 30 ratings on Coursera.
Part of our Machine Learning courses collection, where we compare it against 20 other courses.
Course highlights
| Provider | Coursera |
| Duration | 6h 1m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.4★ (30 reviews) |
| Price | Check price Free |
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 30 learners on Coursera (checked 25 Aug 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 10courses 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 25 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
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 39.2K reviews) |
| Machine Learning with Python |
Coursera
|
4.7★ | Check price | 20h 26m | Beginner-friendly · 20h 26m |
| Machine Learning: Classification |
Coursera
|
4.7★ | Check price | 21h 25m | Beginner-friendly · 21h 25m |
Where Machine Learning leads
Roles we map to Machine Learning on 10courses. 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?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
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.