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, and 繁體中文
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.