Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model.
This course is part of the TensorFlow: Data and Deployment Specialization
Offered By


About this Course
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
What you will learn
Perform efficient ETL tasks using Tensorflow Data Services APIs
Construct train/validation/test splits of any dataset - either custom or present in TensorFlow Hub Dataset library - using Splits API
Use different modules and functions of the TFDS API to prepare your data for training pipelines
Identify bottlenecks in your input pipelines and increase your workflow efficiency by input parallelization
Skills you will gain
- Artificial Neural Network
- Tensorflow
- Extraction, Transformation And Loading (ETL)
- Data Pipelines
- TensorFlow Datasets
We recommend taking Course 1 of the TensorFlow in Practice Specialization first, or have a basic familiarity with building models in TensorFlow
Offered by

DeepLearning.AI
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Syllabus - What you will learn from this course
Data Pipelines with TensorFlow Data Services
This week, you will be able to perform efficient ETL tasks using Tensorflow Data Services APIs
Splits and Slices API for Datasets in TF
In this week, you will construct train/validation/test splits of any dataset - either custom or present in TensorFlow hub dataset library - using Splits API
Exporting Your Data into the Training Pipeline
This week you will extend your knowledge of data pipelines
Performance
You'll learn how to handle your data input to avoid bottlenecks, race conditions and more!
Reviews
- 5 stars64.70%
- 4 stars19.82%
- 3 stars8.71%
- 2 stars4.13%
- 1 star2.61%
TOP REVIEWS FROM DATA PIPELINES WITH TENSORFLOW DATA SERVICES
I learned a lot from this course about how to optimize TensorFlow data pipelines and how to create public datasets. Thank you! - Steve
Thorough course on Data Services API. Challenging but worthwhile final assignment.
This course many for challengging in code but, before it, i learn it in my college. So, i do this assignment.
Debugging exercises due to errors in indentation sounded stupid in the first place. But the joy of finally getting a "yes" in the assignment auto-grader beats them all.
About the TensorFlow: Data and Deployment Specialization
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.

Frequently Asked Questions
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Why was Course 3: Data Pipelines with TensorFlow Data Service updated in October 2020?
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