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Google Cloud · on Coursera

Responsible AI for Developers: Privacy & Safety

Intermediate 6 hours English Course CertificateFREE
SkillsResponsible AIAI privacyAI safetyGoogle CloudML engineeringEthics in practice

Is this course right for you?

Our take
A Google Cloud course on Coursera built for the people actually shipping AI features, not the policy team writing guidelines about them.

Good for: Engineers implementing privacy and safety in real AI features.

Skip if: You want AI policy/governance theory rather than implementation.

It covers concrete methods and tools for implementing AI privacy and safety using Google's own tooling — applied and developer-focused, which is precisely its value and its limit: if you want AI policy or governance theory rather than implementation, this is aimed elsewhere. Audit it free on Coursera; the certificate needs a subscription (about $49/month) or Coursera Plus, with financial aid available. Building privacy and safety in from the start only grows more important (as of 2026).

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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.

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Instructor

GC
Google Cloud Training
Coursera instructor

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

Frequently asked questions

More implementation than the leadership-focused responsible-AI courses. Aimed at developers, it covers the practical side of building AI responsibly with attention to privacy and safety — techniques and considerations you apply when developing models and applications, not just high-level principles. So expect a more technical, hands-on treatment than a general 'AI ethics' overview, though grounded in the same responsible-AI goals.

Developers and technical practitioners building AI systems who need to handle privacy and safety properly — not managers or non-technical staff seeking a conceptual overview. It assumes you work with AI or code, focusing on how to bake responsible practices into what you build. Non-developers would be better served by the leadership-oriented responsible-AI courses instead.

Yes, being a Google Cloud course, it draws on Google's frameworks and tools for responsible AI, privacy, and safety. The underlying principles transfer to other stacks, but the specific techniques and examples lean on Google's ecosystem. That is useful if you work in or near Google Cloud, and still instructive elsewhere, though you would map the specifics onto your own tooling.

Yes — Google offers it free through its cloud skills platform, so the learning costs nothing, with a certificate sometimes behind a subscription depending on the platform. Since it is a focused course, you can work through it at no cost to build practical responsible-AI knowledge as a developer.

It is short — a few hours — as a focused course rather than a deep program. That makes it an efficient way for a developer to pick up practical privacy-and-safety practices for AI, and it fits within Google's broader responsible-AI and generative-AI learning paths if you want to go further.
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