Practical AI Privacy

Empower your team with real advice and hands-on skills to build privacy into today's AI workflows and systems

About the Course

Learn to identify actionable privacy risks in AI systems, evaluate and implement reasonable controls, architect privacy in AI workflows, and evaluate and test systems with a focus on privacy.

Instructor: Katharine Jarmul, Author of Practical Data Privacy

What You'll Learn

Identify Risks

Spot actionable privacy risks in AI systems before they become problems

Implement Controls

Deploy reasonable privacy controls that actually work in practice

Architect Privacy

Build privacy into AI workflows from the ground up

Evaluate Systems

Test and evaluate AI systems with a privacy-first mindset

Course Details

Cohort 1 Duration Apr 20 — May 30, 2026
Format 18 live sessions • 6 weeks • 1 Capstone project
Time Commitment 2-3 hrs/week live + 2 hrs/week projects
Price $1,400 USD

Who Should Attend

Course Syllabus

  1. Week 1: What exactly is privacy in AI systems?
  2. Week 2: AI Product/Workflow Setup and Risk Hunting
  3. Week 3: Pseudonymization and Input Sanitization
  4. Week 4: Guardrails and Routing
  5. Week 5: Red Teaming, Evaluations, Testing and Observability
  6. Week 6: Capstone Presentations and What's Next?

Prerequisites

What's Included

Ready to Build Privacy into Your AI Systems?

Enrollment is now open. Limited spots available.

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