What you'll learn

Run models in your browser using TensorFlow.js
Prepare and deploy models on mobile devices using TensorFlow Lite
Access, organize, and process training data more easily using TensorFlow Data Services
Explore four advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard

Skills you will gain

Machine Learning

Tensorflow

Advanced Deployment

Object Detection

JavaScript

Convolutional Neural Network

Tensorflow.js

Tensorflow Lite

Mathematical Optimization

Extraction, Transformation And Loading (ETL)

Data Pipelines

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.

Elevate your learning experience with Pro

Upgrade to Pro and gain unlimited accomplishments on your resume

Learn More

Instructor

Laurence Moroney

Former AI Lead at Google

Frequently Asked Questions

Who is this Specialization for?

The TensorFlow: Data and Deployment Specialization is for anyone who has a basic understanding of how to build models in TensorFlow and wants to learn how to more effectively train and deploy models in TensorFlow.

What will I learn in this Specialization?

In Course 1, you’ll learn how to run models in your browser using TensorFlow.js. In Course 2, you’ll prepare your model for mobile devices using TensorFlow Lite. In Course 3, you’ll access, organize, and process training data more easily using TensorFlow Data Services. In Course 4, you’ll explore four advanced deployment scenarios including federated learning.

Are there any prerequisites?

We recommend taking our TensorFlow in Practice Specialization first to understand how to build models in TensorFlow and understand best practices.

How do I take the Specialization?

It typically takes 4 weeks, 4-5 hours per week to complete each course. There will be four courses in the Specialization.

How long is the Specialization?

It typically takes 4 weeks, 4-5 hours per week to complete each course. There will be four courses in the Specialization.

How much does the Specialization cost?

The Specialization costs $49/month. You can also purchase each course for $49.

Can I preview the Specialization?

> Yes! You can preview the course for free by accessing the entire first module at no cost. This allows you to explore the learning experience before deciding if you’d like to continue. If you want full access to all modules, assessments, and the certificate of completion, you’ll need to upgrade to the paid version.

Can I apply for financial aid?

Yes, Coursera provides financial aid to learners who cannot afford the fee. You can apply for it by going to the Coursera course page and clicking on the Financial Aid link beneath the “Enroll” button on the left.

Will I receive a certificate at the end of the Specialization?

You will receive a certificate at the end of each course if you pay for the courses and complete the programming assignments. There is a limit of 180 days of certificate eligibility, after which you would have to re-purchase the course. If you audit the course for free, you will not receive a certificate.

Once all four courses in the Specialization are released and you are subscribed to the Specialization, you will also receive a certificate for the Specialization if you complete all four courses.

Is this a stand-alone course or a Specialization?

This is a deeplearning.ai Specialization made up of multiple courses. You can take the Specialization now on Coursera.

TensorFlow: Data and Deployment