Neural Networks and Deep Learning
Neural Networks and Deep Learning is a beginner-level online course from Coursera in Deep Learning. It is structured in 4 modules, over 24h 35m. Learners rate it 4.9/5 from 123.8K ratings on Coursera.
Part of our Deep Learning courses collection, where we compare it against 2 other courses.
Course highlights
| Provider | Coursera |
| Duration | 24h 35m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.9★ (123.8K reviews) |
| Price | Check price |
About this course
The Neural Networks and Deep Learning course introduces the foundational concepts behind artificial neural networks. It covers how these networks are structured and how they learn. You will explore basic neural network models, including shallow neural networks, before moving to the more complex deep neural networks. The course teaches you about key skills such as Python programming, model training, and model optimization. It also touches on applied machine learning and supervised learning methods.
Offered by DeepLearning.AI, this course is designed for beginners. It serves as the first part of a broader Deep Learning Specialization. The self-paced format allows you to learn at your own speed over its 24 hours 35 minutes duration. It focuses on building a strong foundation in the concepts that underpin modern artificial intelligence and machine learning.
Upon completing this Neural Networks and Deep Learning course, you will understand how to build and train basic neural networks. You can apply Python programming skills to implement these models. You will also grasp concepts related to model optimization and training, which are crucial for developing effective AI systems. The course prepares you to work with foundational elements of artificial intelligence and machine learning.
This course is for beginners but requires some prior knowledge. You should have intermediate Python skills, including an understanding of basic programming, for loops, if/else statements, and data structures. A basic grasp of linear algebra and machine learning is also necessary. If you are new to programming or do not have these prerequisites, you might find the course challenging. For those looking for other options, Deep Learning courses on 10courses.com offer a range of choices. For example, the free Brain-Computer Interface (BCI) Masterclass is also for beginners, or consider Deep Learning with Keras and Tensorflow if you want to explore specific frameworks.
Level and time commitment
- Intermediate Python skills: basic programming, understanding of for loops, if/else statements, data structures
- A basic grasp of linear algebra & ML
Skills you’ll gain
What this course covers
4 modulesThe 4-part outline Coursera publishes for this course, across 24h 35m.
Module 1 · Introduction to Deep Learning
Module 2 · Neural Networks Basics
Module 3 · Shallow Neural Networks
Module 4 · Deep Neural Networks
What learners rate it
Rated 4.9/5 by 123.8K learners on Coursera (checked 10 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 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 10 August 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 |
|---|---|---|---|---|---|
| Neural Networks and Deep Learning This |
 Coursera
|
4.9★ | Check price | 24h 35m | Highest rated (4.9★ from 123.8K reviews) |
| Deep Learning with Keras and Tensorflow |
Coursera
|
4.4★ | Check price | 23h 21m | Quickest to finish (23h 21m) |
| Brain-Computer Interface (BCI) Masterclass |
 Udemy
|
4.0★ | Free | Free — and still gives a certificate |
Where Deep Learning leads
Roles we map to Deep 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 Neural Networks and Deep 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 Neural Networks and Deep 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 Neural Networks and Deep Learning take?
Coursera lists it at 24h 35m. 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 Neural Networks and Deep Learning suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Neural Networks and Deep Learning cover?
It is organised into 4 modules, starting with Introduction to Deep Learning and going on to Neural Networks Basics, Shallow Neural Networks, Deep Neural Networks. The full outline is on this page.