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Smart Analytics, Machine Learning, and AI on Google Cloud

Google via Google Cloud Skills Boost

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Overview

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.

Syllabus

Introduction

Course Introduction

Introduction to Analytics and AI

Module introduction
What is AI?
From ad-hoc data analysis to data-driven decisions
Options for ML models on Google Cloud
Introduction to Analytics and AI

Prebuilt ML Model APIs for Unstructured Data

Module introduction
Unstructured data is hard
ML APIs for enriching data
Lab Intro: Using the Natural Language API to Classify Unstructured Text
Using the Natural Language API to classify unstructured text
Prebuilt ML Model APIs for Unstructured Data

Big Data Analytics with Notebooks

Module introduction
What’s a Notebook?
BigQuery magic and ties to Pandas
Lab Intro: BigQuery in JupyterLab on Vertex AI
BigQuery in JupyterLab on Vertex AI 2.5
Big Data Analytics with Notebooks

Production ML Pipelines

Module introduction
Ways to do ML on Google Cloud
Vertex AI Pipelines
TensorFlow Hub
Lab Intro: Running Pipelines on Vertex AI
Running Pipelines on Vertex AI 2.5
Summary
Production ML Pipelines

Custom Model Building with SQL in BigQuery ML

Module introduction
BigQuery ML for Quick Model Building
Supported models
Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML
Predict Bike Trip Duration with a Regression Model in BQML 2.5
Lab Intro: Movie Recommendations in BigQuery ML
Movie Recommendations in BigQuery ML 2.5
Summary
Custom Model Building with SQL in BigQuery ML

Custom Model Building with Vertex AI AutoML

Module introduction
Why AutoML?
AutoML Vision
AutoML Natural Language Processing
AutoML Tables
Summary
Custom Model Building with AutoML

Summary

Course Summary

Course Resources

Smart Analytics, Machine Learning, and AI on Google Cloud

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