Intermediate 6 hours English Course CertificateFREE
Our recommendation
A Coursera course from Google Cloud built for people actually shipping AI features, not policy teams writing guidelines. It covers practical methods and tools for implementing AI privacy and safety using Google's tooling. Concrete and developer-focused — a useful, applied grounding in responsible AI for engineers.
Good for: Engineers implementing privacy and safety in real AI features.
Less suitable if: You want AI policy/governance theory rather than implementation.
Skills you'll gain
Responsible AIAI privacyAI safetyGoogle CloudML engineeringEthics in practice
Is this course right for you?
A good fit if you…
You ship AI features
You want practical privacy/safety methods
You use Google Cloud tooling
Consider something else if you…
You want AI policy theory
You are non-technical
You do not build AI systems
Requirements: Some ML/AI development experience helps.
Realistic time: Around 8–12 hours.
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.
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
6h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available.
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