COGoogle Cloud · on Coursera
Responsible AI: Applying AI Principles with Google Cloud
Beginner 8 hours English Course Certificate Certificate
About this course
This Google Cloud course covers responsible AI principles and practices: defining fairness in ML systems, detecting and mitigating bias in datasets and models, making models interpretable, and applying Google's seven AI principles.
Hands-on labs use Google's AI Explanations and What-If Tool, giving practitioners concrete skills for auditing AI fairness in production systems.
What you'll learn
Define and measure fairness in ML systems across different criteria
Identify and mitigate bias in training data and model predictions
Apply explainability techniques including SHAP and integrated gradients
Use Google's What-If Tool for fairness and performance analysis
Apply Google's responsible AI principles to real development decisions
This course includes
8h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
GC
Google Cloud Teaching Staff
Coursera instructor
80K+ learners10 courses4.6 instructor rating
Developed by Google Cloud's AI education team, drawing on Google's internal responsible AI practices and research from Google Brain.
Requirements
- Basic ML knowledge; Python familiarity helpful for labs
Who this course is for
- ML engineers and data scientists building production AI systems
- Product managers responsible for ethical AI governance
- Teams building AI products in regulated industries
About this provider
CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Frequently asked questions
The tools are Google Cloud, but fairness concepts and frameworks apply universally across any ML stack.
Yes — the course aligns with EU AI Act requirements and enterprise AI governance frameworks.