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Machine Learning with TensorFlow in Vertex AI
Google via Google Cloud Skills Boost
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Overview
The Machine Learning with TensorFlow in Vertex AI course offers a comprehensive guide to building, training, and deploying machine learning models using TensorFlow integrated within Google Cloud’s Vertex AI platform. Designed for data scientists, ML engineers, and developers, this course focuses on leveraging Vertex AI’s powerful tools to streamline the entire ML lifecycle — from data preparation and model training to evaluation and scalable deployment. Learners will explore how TensorFlow, one of the leading open-source ML frameworks, works seamlessly with Vertex...
Syllabus
- GSP273
- Overview
- Setup and requirements
- Task 1. Deploy Vertex AI Workbench instance
- Task 2. Create minimal training and validation data
- Task 3. Create the input data
- Task 4. Create, train and evaluate TensorFlow model
- Task 5. Deploy flights model to Vertex AI
- Task 6. Model explainability
- Task 7. Invoke the deployed model
- Congratulations!
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