Course
Skills
Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability to extract insights from data.
What you'll learn
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.
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
- Module introduction 1m
- BigQuery ML for Quick Model Building 4m
- Supported models 7m
- Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 0m
- Lab: Predict Bike Trip Duration with a Regression Model in BQML 2.5 0m
- Lab Intro: Movie Recommendations in BigQuery ML 0m
- Lab: Movie Recommendations in BigQuery ML 2.5 0m
- Summary 0m
Custom Model Building with Vertex AI AutoML
24mins
Summary
0mins
Course Resources
0mins
