Move beyond traditional analytics to understand how AI and machine learning uncover patterns in massive datasets. This module investigates how these technologies differ from standard data processing and how applying responsible AI frameworks can mitigate risk while solving complex business problems.

Innovating with Google Cloud Artificial Intelligence

The landscape of artificial intelligence

Agentic AI

The business value of AI and ML

Laying the foundation for successful ML

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Quiz Question 5

Quiz Question 6

AI and ML fundamentals

Discover how to implement AI without a team of specialized data scientists. This module details the four distinct paths to model building, ranging from pre-trained APIs to custom development, and evaluates the strategic trade-offs between speed, cost, and customization for each.

Google Cloud’s AI and ML solutions

Four paths to build ML models

Google’s AI Hypercomputer

Considerations when selecting Google Cloud AI/ML solutions

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

Course summary

Download the course study guide to review key concepts and support your learning journey.

Course study guide

Course resources

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.

As 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.

Innovating with Google Cloud AI

Google Cloud Digital Leader

Google’s AI Hypercomputer

Innovating with Google Cloud AI

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