About this Specialization

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Continue developing your skills in TensorFlow as you learn to navigate through a wide range of deployment scenarios and discover new ways to use data more effectively when training your machine learning models. In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more. Industries all around the world are adopting Artificial Intelligence. This Specialization from Laurence Moroney and Andrew Ng will help you develop and deploy machine learning models across any device or platform faster and more accurately than ever. This Specialization builds upon skills learned in the TensorFlow in Practice Specialization. We recommend learners complete that Specialization prior to enrolling in TensorFlow: Data and Deployment.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 4 months to complete
Suggested 3 hours/week
English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 4 months to complete
Suggested 3 hours/week
English

There are 4 Courses in this Specialization

Course1

Course 1

Browser-based Models with TensorFlow.js

4.7
stars
568 ratings
137 reviews
Course2

Course 2

Device-based Models with TensorFlow Lite

4.6
stars
308 ratings
68 reviews
Course3

Course 3

Data Pipelines with TensorFlow Data Services

4.0
stars
228 ratings
71 reviews
Course4

Course 4

Advanced Deployment Scenarios with TensorFlow

4.6
stars
206 ratings
32 reviews

Offered by

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DeepLearning.AI

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