In this introduction, you'll explore the course goals and preview each section.

Course introduction

Course Introduction

Artificial intelligence and machine learning can provide many benefits to a business, but it’s important to understand the fundamentals before starting any AI or ML initiative. In this section of the course, you'll explore many of those fundamental concepts.

Introduction

AI and ML defined

How AI and ML differ from data analytics and business intelligence

Problems that ML is suited to solve

Why ML requires high-quality data

The importance of responsible and explainable AI

Quiz - Question 1

Quiz - Question 2

Quiz - Question 3

Quiz - Question 4

Quiz - Question 5

Quiz - Question 6

Quiz - Question 7

Quiz - Question 8

Quiz - Question 9

Quiz - Question 10

AI and ML Fundamentals

In this section of the course, you'll explore four options to build ML models with Google Cloud: BigQuery ML, pre-trained APIs, AutoML, and custom training.

BigQuery ML

Pre-trained APIs

AutoML

Custom models

TensorFlow

AI solutions

Considerations when selecting Google Cloud AI/ML solutions

Google Cloud’s AI and ML Solutions

The course closes with a summary of the key points covered in each section and next steps to continue learning.

Course summary

Course Summary

Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.

Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

Why ML requires high-quality data

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