Vertex AI for Machine Learning Practitioners (GC-VERT-AI-ML)

About this course

Train, tune, deploy and monitor models on Vertex AI. In one day you will run custom training and hyperparameter tuning jobs, organise and version models in Model Registry, serve online predictions from endpoints, orchestrate workflows with Vertex AI Pipelines and monitor models in production.

What you'll learn

• Understand the key components of Vertex AI and how they work together to support your ML workflows.
• Configure 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.
• Configure serving clusters and deploy models for online predictions with Vertex AI Endpoints.
• Operationalize and orchestrate end-to-end ML workflows with Vertex AI Pipelines for increased efficiency and scalability.
• Configure and set up monitoring on deployed models

Curriculum

Who it's for

ML engineers and data scientists running their models on Vertex AI.

Before you start

• Experience building and training custom ML models, as well as familiarity with Docker.