Google Cloud
Introduction to Responsible AI in Practice
Put responsible AI principles into practice in one day.
1 dayFoundation1 modules
About this course
Put responsible AI principles into practice in one day. You will review core AI principles, check machine learning models for unfair bias, interpret model behaviour in human-understandable terms, protect sensitive data in ML applications and apply safety techniques to generative AI applications.
What you'll learn
- Overview of Responsible AI principles and practices
- Implement processes to check for unfair biases within machine learning models
- Explore techniques to interpret the behavior of machine learning models in a human-understandable manner
- Create processes that enforce the privacy of sensitive data in machine learning applications
- Understand techniques to ensure safety for generative AI-powered applications
Curriculum
1 modules
- AI Principles and Responsible AI
- Fairness in AI
- Interpretability of AI
- Privacy in ML
- AI Safety
Who it's for
ML practitioners, data scientists and AI governance teams.
Before you start
- Familiarity with basic concepts of machine learning
- Familiarity with basic concepts of generative AI on Google Cloud in Vertex AI
Related courses
More in Google Cloud →Intermediate
Agent Operations on Google Cloud
Google Cloud
View course →Intermediate
Agentic Infrastructure for the Autonomous Enterprise on Google Cloud
Google Cloud
View course →Foundation
AI Agent Essentials on Google Cloud
Google Cloud
View course →Foundation
AI Fundamentals with Prompt-a-Thon - Google Gemini & Google Workspace Edition
Google Cloud
View course →Advanced
Architecting Hybrid Cloud Infrastructure with Anthos
Google Cloud
View course →Advanced
Architecting with Google Cloud: Design and Process
Google Cloud
View course →Let's plan your next step together.
Tell us the course or certification you have in mind and we'll send the outline, upcoming dates, fees and private-team options.