Course
Skills Expanded
Introduction to AI and Machine Learning on Google Cloud
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions.
What you'll learn
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.
Table of contents
Introduction
5mins
Introduction
41mins
- Introduction 1m
- Pluralsight: Getting Started with GCP and Qwiklabs 4m
- Why Google 9m
- Ai/ML framework on Google Cloud 2m
- Google Cloud infrastructure 8m
- Data and AI products 4m
- ML model categories 6m
- BigQuery ML 5m
- Lab introduction 1m
- Lab: Predicting Visitor Purchases with a Classification Model with BigQuery ML 0m
- Summary 1m
- Reading 0m
AI Foundations
41mins
- Introduction 1m
- Pluralsight: Getting Started with GCP and Qwiklabs 4m
- Why Google 9m
- Ai/ML framework on Google Cloud 2m
- Google Cloud infrastructure 8m
- Data and AI products 4m
- ML model categories 6m
- BigQuery ML 5m
- Lab introduction 1m
- Lab: Predicting Visitor Purchases with a Classification Model with BigQuery ML 0m
- Summary 1m
- Reading 0m
AI Foundations
41mins
AI Development Options
34mins
AI Development Options
6mins
AI Development Workflow
41mins
AI Development Workflow
0mins
Generative AI
37mins
Generative AI
0mins
Summary
6mins
Summary
0mins
