About this Course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience with Python, Flask, and TensorFlow is required. Basic understanding of HTML syntax will be helpful.

Approx. 5 hours to complete

Suggested: 2 hours...

English

Subtitles: English

What you will learn

  • Check

    How to serve a TensorFlow model with TensorFlow Serving and Docker.

  • Check

    How to create a web application with Flask to work as an interface to a served model.

Skills you will gain

Deep LearningMachine LearningTensorflowFlaskmodel deployment

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some experience with Python, Flask, and TensorFlow is required. Basic understanding of HTML syntax will be helpful.

Approx. 5 hours to complete

Suggested: 2 hours...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Deploy Models with TensorFlow Serving and Flask

2 hours to complete
2 readings
2 readings
Project-based Course Overview10m
Congratulations!10m
1 practice exercise
Graded Quiz: Test your Project understanding15m

Instructor

Image of instructor, Amit Yadav

Amit Yadav 

Machine Learning Instructor
Machine Learning

About Rhyme

Rhyme is Coursera's hands-on project-based learning platform. On Rhyme, learners get instant access to pre-configured cloud desktops containing all the software and data they need. Rhyme helps learners apply the knowledge they learned in other Coursera courses into specific tools and use-cases. So they become fully prepared to solve problems in the real-world! ...

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

More questions? Visit the Learner Help Center.