Responsible AI: Applying AI Principles with Google Cloud
Responsible AI: Applying AI Principles with Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
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.
Course Info
Objectives
- Explain the business case for responsible AI
- Identify ethical considerations with AI using issue spotting best practices
- Describe how Google developed and put their AI Principles into practice and leverage their lessons learned
- Adopt a framework for how to operationalize responsible AI in your organization
- Discover next steps to continue your responsible AI journey
Prerequisites
Before attending this course, you should have at least a basic knowledge of Artificial Intelligence and Machine Learning. This course will focus on the operations and application of AI principles and responsible AI. The technical details of ML are not covered and beyond the scope.
Audience
General public and Google Cloud Partners.
Available languages
English, español (Latinoamérica), français, italiano, 日本語, 한국어, polski, português (Brasil), українська, 简体中文 и 繁體中文