Loading...
No results found.
Share on LinkedIn Feed Twitter Facebook

Google Cloud Skills Boost

Apply your skills in Google Cloud console

Your Learning progress might get lost. Sign in or Join to save your progress.
close

21

Responsible AI for Developers: Privacy & Safety

21

Responsible AI for Developers: Privacy & Safety

magic_button Data Science Data Management Data
These skills were generated by AI. Do you agree this course teaches these skills?
5 hours Intermediate

This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.

Skill badges validate your practical knowledge on specific products through hands-on labs and challenge assessments. Earn a badge by completing a course or jump straight into the challenge lab to get your badge today. Badges prove your proficiency, enhance your professional profile, and ultimately lead to increased career opportunities. Visit your profile to track badges you’ve earned.

info
Course Info
Objectives
  • Define what AI privacy and AI safety is.
  • Describe methods used to address AI privacy in both data and models.
  • List key considerations for AI safety implementation.
  • Describe techniques used when implementing AI safety.
Prerequisites

Working knowledge of machine learning concepts and practices. Working knowledge of machine learning pipelines and tools. Prior experience with programming languages such as SQL and Python
Audience
AI/ML Developers, AI Practitioners, ML Engineers, Data Scientists
Available languages
English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, italiano, 日本語, 한국어, polski, português (Brasil), українська, 繁體中文, 简体中文 и Türkçe

The Power of Challenge Labs

Now you can fast track your way to a skill badge without having to take the entire course. If you're confident with your skills, jump straight to the challenge lab.

Preview