DADataCamp
Introduction to TensorFlow in Python
Intermediate 4 hours English Course Certificate
Our recommendation
A DataCamp course covering TensorFlow from the ground up — tensors and operations, linear regression, and building neural networks with dense layers and activation functions. Hands-on and practical, for people comfortable with Python who want to learn TensorFlow specifically.
Skills you'll gain
TensorFlowNeural networksTensorsLinear regressionPythonDeep learning
Is this course right for you?
A good fit if you…
You want TensorFlow specifically
You can code Python
You want hands-on practice
Consider something else if you…
You prefer PyTorch
You are new to Python
You already use TensorFlow
About this course
Introduction to TensorFlow in Python covers TensorFlow 2.6 from the ground up: tensors and basic operations, linear regression for predicting house prices, building neural networks with dense layers and activation functions, and finally combining TensorFlow with the high-level Keras and Estimators APIs.
What you'll learn
Define constants, variables, and tensor operations in TensorFlow 2
Build and train linear regression models
Construct neural networks with dense layers and activation functions
Apply optimizers and avoid local minima issues
Use the Keras sequential and functional APIs within TensorFlow
Use the Estimators API to streamline model definition
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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Is the certificate recognised?
DataCamp includes a certificate of completion with your subscription — a useful learning record rather than a formal or accredited qualification.
Instructor
I
Instructor
DataCamp instructor
Taught by DataCamp's data science curriculum team.
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
Frequently asked questions
It covers TensorFlow 2.6; core ideas still apply, but check for small API differences with the current version.
Yes — it is hands-on in Python and some ML familiarity helps.
Yes — the first chapter is free; the rest needs a DataCamp subscription.
Yes — you build neural networks with dense layers, using TensorFlow's high-level tools.
Yes — a DataCamp certificate of completion is included with the subscription, as a learning record.