Discover Google Cloud training your way

With 700+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

Introduction to Generative AI

This is an introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine-learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

When you complete this course, you can earn the badge displayed to the right! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Objectives

• Define Generative AI
• Explain how Generative AI works
• Describe Generative AI Model Types
• Describe Generative AI Applications

Introduction to Large Language Models

This is an introductory-level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

When you complete this course, you can earn the badge displayed to the right! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Objectives

• Define Large Language Models (LLMs)
• Describe LLM Use Cases
• Explain Prompt Tuning
• Describe Google’s Gen AI Development tools

Introduction to Responsible AI

This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. It also introduces Google’s 7 AI principles.

When you complete this course, you can earn the badge displayed to the right! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Course info:

Objectives

• Define Large Language Models (LLMs)
• Describe LLM Use Cases
• Explain Prompt Tuning
• Describe Google’s Gen AI Development tools

Generative AI Fundamentals

Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI courses. By passing the final quiz, you’ll demonstrate your understanding of foundational concepts in generative AI.

A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

When you complete this course, you can earn the badge displayed to the right! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Introduction to Generative AI Course

The complete course is titled Introduction to Generative AI.

Introduction to Large Language Models Course

Complete the course titled Introduction to Large Language Models (LLM).

Introduction to Responsible AI Course

Complete the course titled Introduction to Responsible AI.

Generative AI Fundamentals Quiz

Complete the quiz titled Generative AI Fundamentals to earn a skill badge.

Course info

Objectives

• Complete the course titled Introduction to Generative AI.
• Complete the course titled Introduction to Large Language Models (LLM).
• Complete the course titled Introduction to Responsible AI.
• Complete the quiz titled Generative AI Fundamentals to earn a skill badge.

Responsible AI: Applying AI Principles with Google Cloud

As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.

In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

When you complete this course, you can earn the badge displayed to the right! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

Introduction

In this module, you will learn about the impact of AI technology and Google’s approach to responsible AI, and also be introduced to Google’s AI Principles.

The Business Case for Responsible AI

In this module, you will learn about how to make a business case for responsible AI, based on the report ‘The Business Case for Ethics by Design’ by the Economist Intelligence Unit.

AI’s Technical Considerations and Ethical Concerns

In this module, you will learn about ethical dilemmas and how emerging technology such as generative AI can surface ethical concerns that need to be addressed.

Creating AI Principles

In this module, you will learn about how Google’s AI Principles were developed and explore the ethical aims of each of these Principles.

Operationalizing AI Principles: Setting Up and Running Reviews

In this module, you will learn about the practical application of responsible AI and how to operationalize AI principles by setting up and running reviews.

Operationalizing AI Principles: Issue Spotting and Lessons Learned

In this module, you will learn about the process of identifying possible ethical issues and identify issue-spotting questions to think critically about the potential benefits and harms of a use case.

Continuing the Journey Towards Responsible AI

In this module, you will learn about the next steps and resources you can use to continue your responsible AI journey.

Objectives

• Explain the business case for responsible AI
• Identify ethical considerations with AI using issue-spotting best practices
• Describe how Google developed and put its AI Principles into practice and leveraged the lessons learned
• Adopt a framework for how to operationalize responsible AI in your organization
• Discover the next steps to continue your responsible AI journey

About Google Cloud

There has never been a more exciting time in technology. We are experiencing one of the most significant shifts in history, where AI is creating entirely new ways to solve problems, engage customers, and work more efficiently. Google Cloud is ready to help organizations build a new way forward in an increasingly AI-driven world.