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Deep Learning with Keras and Tensorflow

Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics.

Deep Learning with Keras and Tensorflow is an intermediate-level online course from Coursera in Deep Learning. It is structured in 7 modules with 4 stated learning outcomes, over 23h 21m. Learners rate it 4.4/5 from 1K ratings on Coursera.

Part of our Deep Learning courses collection, where we compare it against 2 other courses.

★★★★★4.4(1K reviews) English

Course highlights

Provider Coursera
Duration 23h 21m
Level Intermediate
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.4★ (1K reviews)
Price Check price

What you’ll learn

Create custom layers and models in Keras and integrate Keras with TensorFlow 2.x
Develop advanced convolutional neural networks (CNNs) using Keras
Develop Transformer models for sequential data and time series prediction
Explain key concepts of Unsupervised learning in Keras, Deep Q-networks (DQNs), and reinforcement learning

Level and time commitment

Coursera lists this course at Intermediate level.
It assumes you already have the basics of the subject and want to go deeper, rather than starting from zero.
Time commitment: 23h 21m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Transfer LearningReinforcement LearningTime Series Analysis and ForecastingApplied Machine LearningGenerative AIArtificial Intelligence and Machine Learning (AI/ML)Generative Adversarial Networks (GANs)AutoencodersKeras (Neural Network Library)Model OptimizationDeep LearningUnsupervised Learning

What this course covers

7 modules

The 7-part outline Coursera publishes for this course, across 23h 21m.

Module 1 · Advanced Keras Functionalities
Module 2 · Advanced CNNs in Keras
Module 3 · Transformers in Keras
Module 4 · Unsupervised Learning and Generative Models in Keras
Module 5 · Advanced Keras Techniques
Module 6 · Introduction to Reinforcement Learning with Keras
Module 7 · Final Project Submission

What learners rate it

4.4
★★★★★
1K ratings

Rated 4.4/5 by 1K learners on Coursera (checked 7 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 →

How this page is put together

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 7 November 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
Deep Learning with Keras and Tensorflow This Coursera 4.4★ Check price 23h 21m For learners past the basics · 23h 21m
Neural Networks and Deep Learning Coursera 4.9★ Check price 24h 35m Highest rated (4.9★ from 123.8K reviews) View ↗
Brain-Computer Interface (BCI) Masterclass Udemy 4★ ₹459 4.5 hours Most popular — 18.2K learners View ↗
See all Deep Learning courses →

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.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

How much does Deep Learning with Keras and Tensorflow 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 Deep Learning with Keras and Tensorflow 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 Deep Learning with Keras and Tensorflow take?

Coursera lists it at 23h 21m. 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 Deep Learning with Keras and Tensorflow 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 Deep Learning with Keras and Tensorflow cover?

It is organised into 7 modules, starting with Advanced Keras Functionalities and going on to Advanced CNNs in Keras, Transformers in Keras, Unsupervised Learning and Generative Models in Keras, Advanced Keras Techniques, among others. The full outline is on this page.

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