CODeepLearning.AI · on Coursera
TensorFlow Developer Professional Certificate
Intermediate 160 hours English Professional Certificate Certificate
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.
Each course includes hands-on Colab exercises, and the certificate itself is Google-administered and widely recognized by employers hiring ML engineers.
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
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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.
Requirements
- Python proficiency; basic ML concepts recommended
Who this course is for
- ML practitioners targeting a Google-recognized TensorFlow credential
- Developers moving from ML theory to practical implementation
- Data scientists formalizing their TensorFlow skills
About this provider
CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Frequently asked questions
The exam costs $100 USD and is taken remotely in a Python IDE environment.
TensorFlow dominates production deployment and mobile (TFLite) — the certificate signals practical deployment skills.