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Introduction to AI and Machine Learning on Google Cloud

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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises. Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.

Syllabus

Introduction

Course introduction

AI foundations

A use case
AI on Google Cloud
AI infrastructure
AI models
BigQuery ML
Predict Visitor Purchases with BigQuery ML
Summary
Quiz
Reading

Generative AI

Generative AI on Google Cloud
Foundation models
Idea to app
Prompt engineering
Deployment and model tuning
Get Started with Agent Studio
AI agents
Agent building with Google Cloud
Summary
Quiz
Reading List

AI development options

AI developement options
Vertex AI
AutoML
Pre-trained APIs
Custom training
Lab introduction
Entity and Sentiment Analysis with the Natural Language API
Summary
Quiz
Reading

AI development worklow

ML workflow
Data preparation
Model development
Model serving
MLOps and workflow automation
Lab introduction (optional)
Agent Platform: Predicting Loan Risk with AutoML
How a machine learns (optional)
Summary
Quiz
Reading

Summary

Course summary
Reading
Course resources

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