Course
Skills
Introduction to AI and Machine Learning on Google Cloud
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects.
What you'll learn
This course introduces the AI and machine learning (ML) offerings on Google Cloud that build both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, encompassing AI foundations, development, and solutions. It aims to help data scientists, AI developers, and ML engineers enhance their skills and knowledge through engaging learning experiences and practical hands-on exercises.
Table of contents
Introduction
5mins
Introduction
5mins
Introduction
5mins
Introduction
5mins
AI Foundations
41mins
AI Foundations
3mins
- 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 Foundations
40mins
AI Development Options
4mins
AI Development Options
34mins
AI Development Options
34mins
AI Development Options
35mins
AI Development Workflow
40mins
AI Development Workflow
6mins
AI Development Workflow
40mins
AI Development Workflow
41mins
Generative AI
37mins
Generative AI
3mins
Generative AI
37mins
Generative AI
41mins
Summary
6mins
Summary
6mins
Summary
6mins
Summary
6mins
