DeepLearning.AI · on Coursera

TensorFlow Developer Professional Certificate

4.7(28,000) on Coursera·430K enrolled
Intermediate 160 hours English Professional Certificate
Our recommendation
DeepLearning.AI's four-course TensorFlow specialisation, taught by Laurence Moroney, covering building neural networks for vision, text and time series in TensorFlow. It is hands-on and well structured. One important note: Google retired the separate, official TensorFlow Developer Certificate exam in 2024, so this is a course specialisation rather than a route to that credential.

Good for: Learners with Python and ML basics who want hands-on TensorFlow skills.

Less suitable if: You are new to machine learning, or you specifically wanted the retired TF exam credential.

Skills you'll gain

TensorFlowDeep learningNeural networksComputer visionNLPTime series

Is this course right for you?

A good fit if you…

You have Python and ML basics
You want hands-on TensorFlow
You like building models

Consider something else if you…

You are new to machine learning
You prefer PyTorch
You wanted the official exam credential

Requirements: Python and machine-learning basics; intermediate.

Realistic time: About 160 hours across four courses; a few months part-time.

About this course

This four-course Professional Certificate prepares you for Google's TensorFlow Developer Certificate exam. You build neural networks with Keras, apply CNNs to image classification, use transfer learning, and build NLP and time series models.

What you'll learn

Build and train neural networks using TensorFlow and Keras
Apply CNNs to image classification with transfer learning
Implement NLP models for text classification and sequence generation
Build time series forecasting models with RNNs and LSTMs
Pass the Google TensorFlow Developer Certificate exam

This course includes

160h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language

What it costs

Free to audit on Coursera; the certificate needs a subscription (about $49 a month), with financial aid available.

Comparison · LBS

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Is the certificate recognised?

The certificate is a Coursera specialisation certificate from DeepLearning.AI. Note the separate official Google TensorFlow Developer Certificate exam was retired in 2024 — this course does not lead to that credential. The hands-on skills are the value.

Instructor

LM
Laurence Moroney
Coursera instructor
430K+ learners5 courses4.7 instructor rating

Taught by Laurence Moroney, Google's AI Advocate who designed the TensorFlow Developer Certificate program.

About this provider

CO
Coursera
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Frequently asked questions

No. Google retired that separate exam-based certificate in 2024. This is a DeepLearning.AI course specialisation that teaches TensorFlow, not a route to that retired credential.
Python and some machine-learning basics. It is intermediate, not a first ML course.
Yes for hands-on TensorFlow skills, if you already have ML basics. Value it for the skills, not the retired exam.
Both are used; PyTorch has grown popular in research, TensorFlow remains widely deployed. Learn the one your target role uses.
You can audit it free on Coursera; the certificate needs a subscription, with financial aid available.
About 160 hours across four courses — a few months part-time.
Paid
Subscription-based, free to audit
Enroll now