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TensorFlow on Google Cloud

TensorFlow on Google Cloud

magic_button TensorFlow Machine Learning Pipeline Machine Learning Model Training
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15 hours Intermediate universal_currency_alt 25 Credits

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

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Course Info
  • Create TensorFlow and Keras machine learning models and describe their key components.
  • Use the library to manipulate data and large datasets.
  • Use the Keras Sequential and Functional APIs for simple and advanced model creation.
  • Train, deploy, and productionalize ML models at scale with Vertex AI.

Some familiarity with basic machine learning concepts

Basic proficiency with a scripting language; Python preferred

- Data Analysts - Data Engineers - Data Scientists - ML Engineers - ML Software Engineers
Available languages
English, 日本語, français, español (Latinoamérica), 한국어, português (Brasil), and italiano
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After finishing this course, you can explore additional content in your learning path or browse the catalog.
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Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.