When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
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...
Read MoreIncorporating 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.
To benefit from this course, participants should have completed “Google Cloud Big Data and Machine Learning Fundamentals” or have equivalent experience.
Introduction
Introduction to Analytics and AI
Prebuilt ML Model APIs for Unstructured Data
Big Data Analytics with Notebooks
Production ML Pipelines
Custom Model Building with SQL in BigQuery ML
Custom Model Building with Vertex AI AutoML
Summary
Course Resources