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Running Distributed TensorFlow using Vertex AI
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Overview
The Running Distributed TensorFlow using Vertex AI course provides a deep dive into building and deploying scalable machine learning models using TensorFlow in a distributed environment powered by Google Cloud’s Vertex AI. Designed for data scientists, ML engineers, and cloud practitioners, this course teaches how to leverage distributed TensorFlow to handle large datasets and complex models efficiently. Participants start by understanding the fundamentals of distributed TensorFlow, including concepts like parameter servers, workers, and synchronization strategies. The course then covers setting up...
Syllabus
- GSP971
- Overview
- Setup and requirements
- Task 1. Enable Google Cloud services
- Task 2. Deploy Vertex notebook instance
- Task 3. Clone the lab repository
- Congratulations!
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