Ementorhub

What you'll learn

Describe data management, governance, and preprocessing options

Identify when to use Vertex AutoML, BigQuery ML, and custom training

Implement Vertex Vizier Hyperparameter Tuning

Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI

Skills you'll gain

Predictive Modeling

Continuous Monitoring

Workflow Management

Machine Learning

Feature Engineering

Google Cloud Platform

Data Governance

Data Pipelines

Applied Machine Learning

Data Management

MLOps (Machine Learning Operations)

There are 10 modules in this course

The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

Understanding the ML Enterprise Workflow

Data in the Enterprise

Science of Machine Learning and Custom Training

Vertex Vizier Hyperparameter Tuning

Prediction and Model Monitoring Using Vertex AI

Vertex AI Pipelines

Best Practices for ML Development

Course Summary

Series Summary