Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.
Author Name: Google Cloud
Author Description:
Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Table of Contents

• Introduction
  1min
• Introduction to Analytics and AI
  8mins
• Prebuilt ML Model APIs for Unstructured Data
  8mins
• Big Data Analytics with Notebooks
  7mins
• Production ML Pipelines
  8mins
• Custom Model Building with SQL in BigQuery ML
  12mins
• Custom Model Building with Vertex AI AutoML
  24mins
• Summary
  0mins
• Course Resources
  0mins