17
Build and Deploy Machine Learning Solutions on Vertex AI
17
Build and Deploy Machine Learning Solutions on Vertex AI
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Earn the intermediate skill badge by completing the Build and Deploy Machine Learning Solutions with Vertex AI course, where you will learn how to use Google Cloud's Vertex AI platform, AutoML, and custom training services to train, evaluate, tune, explain, and deploy machine learning models.
This skill badge course is for professional Data Scientists and Machine Learning Engineers.
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this Skill Badge, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
Course Info
Objectives
- Write and train models locally in a hosted Vertex Notebook
- Containerize your training code and push it to Google Cloud Artifact Registry
- Create managed image dataset artifacts for experiment tracking
- Train a BigQuery ML (BQML) XGBoost classifier
- Trigger a training job using the Vertex AI Console
- Create a custom model evaluation component using the KFP SDK
- Incorporate pre-built KFP components into your pipeline
- Deploy your trained models to a Vertex Endpoint for online predictions
- Query your model for online predictions and explanations
Prerequisites
Prior to enrolling in this skill badge course, it is recommended that you have prior experience with Python programming as covered in the Google Python Class and that you complete the Machine Learning Crash Course. See the Google Cloud Tech AI Simplified video series for an overview of Vertex AI.
Available languages
English, Deutsch, bahasa Indonesia, português (Brasil), 日本語, 简体中文, 繁體中文, español (Latinoamérica), français и 한국어