About this Specialization

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 1 month to complete

Suggested 18 hours/week

English

Subtitles: English

What you will learn

  • Check

    Run models in your browser using TensorFlow.js

  • Check

    Prepare and deploy models on mobile devices using TensorFlow Lite

  • Check

    Access, organize, and process training data more easily using TensorFlow Data Services

  • Check

    Explore four advanced deployment scenarios using TensorFlow Serving, TensorFlow Hub, and TensorBoard

Skills you will gain

Machine LearningTensorflowadvanced deploymentObject DetectionJavaScript

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 1 month to complete

Suggested 18 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Course 1

Browser-based Models with TensorFlow.js

4.7
stars
155 ratings
41 reviews
Course2

Course 2

Device-based Models with TensorFlow Lite

4.6
stars
65 ratings
13 reviews
Course3

Course 3

Data Pipelines with TensorFlow Data Services

3.8
stars
30 ratings
12 reviews
Course4

Course 4

Advanced Deployment Scenarios with TensorFlow

4.4
stars
14 ratings
3 reviews

Instructor

Image of instructor, Laurence Moroney

Laurence Moroney 

AI Advocate
Google Brain

About deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • We recommend taking 4 weeks of study, 4-5 hours per week, to finish each course in the Specialization. The Specialization includes 4 courses.

More questions? Visit the Learner Help Center.