09
Build, Train and Deploy ML Models with Keras on Google Cloud
09
Build, Train and Deploy ML Models with Keras on Google Cloud
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This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
Course Info
Objectives
- Design and build a TensorFlow input data pipeline.
- Use the tf.data library to manipulate data in 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.
Prerequisites
Some familiarity with basic machine learning concepts
Basic proficiency with a scripting language; Python preferred
Audience
- 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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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?
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