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Vertex AI for Machine Learning Practitioners
Code:
GCP-VERT-AI-ML
Duration:
1 Day
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$900
USD
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This practical, hands-on course will provide you with a deep dive into the core functionalities of Vertex AI, enabling you to effectively leverage its tools and capabilities for your ML projects.
This course is available in the following formats:
Duration: 1 Day
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Delivery Format: Virtual Classroom
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$ 900 |
By the end of the course, learners will be able to:
- Understand the key components of Vertex AI and how they work together to support your ML workows.
- Congure and launch Vertex AI Custom Training and Hyperparameter Tuning Jobs to optimize model performance.
- Organize and version your models using Vertex AI Model Registry for easy access and tracking.
- Congure serving clusters and deploy models for online predictions with Vertex AI Endpoints.
- Operationalize and orchestrate end-to-end ML workows with Vertex AI Pipelines for increased eciency and scalability.
- Configure and set up monitoring on deployed models
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Will Be Updated Soon!
Module 1: Training, Tuning, and Deploying Models on Vertex AI
- Understand Containerized Training Applications
- Understand Vertex AI Custom Training and Tuning Jobs
- Understand how to track and version your trained models in Vertex AI Model Registry
- Understand Online Deployment with Vertex AI Endpoints
Module 2:Orchestrating end-to-end Workows with Vertex AI Pipelines
- Understand Kubeow
- Understand pre-built and lightweight Python components
- Understand how to compile and execute pipelines on Vertex AI
Module 3: Model Monitoring on Vertex AI
- Understand Feature Drift and Skew
- Understand Model Monitoring for models deployed to Vertex AI Endpoints
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Will Be Updated Soon!