TensorFlow: Data and Deployment

Completed by Philippe PERET

July 26, 2020

Approximately 1 months at 10 hours a week to complete

Course Certificates Completed

Browser-based Models with TensorFlow.js

Device-based Models with TensorFlow Lite

Data Pipelines with TensorFlow Data Services

Advanced Deployment Scenarios with TensorFlow

TensorFlow: Data and Deployment

DeepLearning.AI

4.7 (1,308 ratings)

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35K Students Enrolled

View certificate for Philippe PERET, TensorFlow: Data and Deployment, offered through Coursera. In this specialization, you continued to develop your understanding of machine learning with TensorFlow: Data and Deployment. You have gone beyond basic modeling and learned how to train and run your models within a browser, optimize machine learning models for mobile devices, and create effective data pipelines with TensorFlow Data Services. Now that you’ve learned the various ways to deploy your models, you’re well-prepared to take your models into the hands of real people on all kinds of devices!

Course Certificates

Earned after completing each course in the Specialization

Browser-based Models with TensorFlow.js

DeepLearning.AI

Taught by: Laurence Moroney

Completed by: Philippe PERET by June 26, 2020

4 weeks of study, 4-5 hours/week

View this certificate

Device-based Models with TensorFlow Lite

DeepLearning.AI

Taught by: Laurence Moroney

Completed by: Philippe PERET by July 17, 2020

4 weeks of study, 4-5 hours/week

View this certificate

Data Pipelines with TensorFlow Data Services

DeepLearning.AI

Taught by: Laurence Moroney

Completed by: Philippe PERET by July 23, 2020

4 weeks of study, 4-5 hours/week

View this certificate

Advanced Deployment Scenarios with TensorFlow

DeepLearning.AI

Taught by: Laurence Moroney

Completed by: Philippe PERET by July 26, 2020

4 weeks of study, 4-5 hours/week

View this certificate