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Pre-Alpha
This lesson is in the pre-alpha phase, which means that it is in early development, but has not yet been taught.
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Intro to GCP Vertex AI for Predictive ML/AI
Intro to GCP Vertex AI for Predictive ML/AI
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Intro to GCP Vertex AI for Predictive ML/AI
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EPISODES
Summary and Schedule
1. Overview of Google Cloud Vertex AI
2. Data Storage: Setting up GCS
3. Notebooks as Controllers
4. Accessing and Managing Data in GCS with Vertex AI Notebooks
5. Using a GitHub Personal Access Token (PAT) to Push/Pull from a Vertex AI Notebook
6. Training Models in Vertex AI: Intro
7. Training Models in Vertex AI: PyTorch Example
8. Hyperparameter Tuning in Vertex AI: Neural Network Example
9. Resource Management & Monitoring on Vertex AI (GCP)
RESOURCES
Key Points
Instructor Notes
Extract All Images
Reference
See all in one page
Overview of Google Cloud Vertex AI
Data Storage: Setting up GCS
Notebooks as Controllers
Accessing and Managing Data in GCS with Vertex AI Notebooks
Using a GitHub Personal Access Token (PAT) to Push/Pull from a Vertex AI Notebook
Training Models in Vertex AI: Intro
Training Models in Vertex AI: PyTorch Example
Hyperparameter Tuning in Vertex AI: Neural Network Example
Resource Management & Monitoring on Vertex AI (GCP)
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