COGoogle Cloud · on Coursera

Responsible AI for Developers: Privacy & Safety

Intermediate 6 hours English Completion CertificateFREE

About this course

Responsible AI for Developers: Privacy & Safety is built for people actually shipping AI features, not policy teams writing guidelines. It covers practical methods and tools for implementing AI privacy and safety practices using Google Cloud products and open-source tools — the kind of thing a developer needs to actually do, not just be aware of.

It sits within Google's Responsible AI for Developers specialization, which is designed to be completed in about two weeks if you move through the full set. On its own, this course is the privacy/safety half of that picture; fairness, interpretability, and transparency are covered in companion courses.

The honest take: this is one of the few responsible-AI courses aimed at builders instead of ethicists. If you want compliance theory, look elsewhere; if you want to know what to actually implement, this is more useful than most alternatives.

What you'll learn

Implement AI privacy best practices using Google Cloud tools

Apply AI safety recommended practices in real systems

Use open-source tools for responsible AI implementation

Distinguish privacy risk from safety risk in AI systems

Evaluate a model or feature against privacy/safety criteria

Connect this course to the broader Responsible AI specialization

This course includes

On-demand video

Yes

Certificate

Yes

Mobile access

English

Language

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Instructor

Google Cloud Training

Coursera instructor

— learners— courses — instructor rating

Taught by Google Cloud Training, drawing on Google Cloud's internal responsible-AI engineering practices.

Requirements

Basic familiarity with building or deploying AI/ML systems

Who this course is for

Developers shipping AI-powered features
ML engineers who need practical privacy/safety tools
Teams building Responsible AI specialization knowledge

About this provider

Coursera

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Frequently asked questions

Developers — it focuses on practical tools and methods you implement, not policy or compliance frameworks.

Yes, free to audit, with a certificate available on Coursera's paid plans.

Around 6 hours, part of a specialization designed to be finished in about two weeks total.

Those topics are covered in companion courses within the same Responsible AI for Developers specialization — this course focuses on privacy and safety.

The course uses Google Cloud products and open-source tools, so it's most directly useful if you're on or considering that stack.