AI Governance Trainings

Comprehensive training programs to help your team master responsible AI practices and governance.

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Pragmatic AI Governance

Instructor: Iman Saleh, PhD

This class is designed for AI Governance professionals to walk them through the journey of building an AI Governance program. The class uses the Governance Maturity Model described in the book "Pragmatic AI Governance" to provide a step-by-step methodology to building AI governance from the ground up, and scale it with the AI investment.

Course Structure:

  • Session 1: AI and The Probabilistic Revolution
  • Session 2: AI Risks and Safeguards
  • Session 3: The Anatomy of an AI Governance Program
  • Session 4: The AI Governance Maturity Model
  • Session 5: Principles and Policies
  • Session 6: Mastering Provenance: Data, Model, and Use Case
  • Session 7: Enforcement
  • Session 8: Auditing and Reporting + Incident Management
  • Session 9: Use Cases Presentation and Discussion

Target Audience:

  • AI governance teams and professionals building AI governance programs, including leaders, lawyers, policy writers, reviewers, program managers and engineers. You don't need a technical background in AI to attend.

Formats Available:

  • 3-Day Live Virtual/In-Person: Intensive workshop with live instruction and hands-on group work.
  • 8-Week Guided Cohort: Self-paced with pre-recorded videos, weekly assignments, and personalized feedback.
  • On-Demand Access (Self-Study): Instant access to recorded sessions, slide decks, and project templates.
Course Brochure

AI Governance for Privacy Professionals

Instructor: Iman Saleh, PhD

This course tackles AI privacy governance head-on. We toss out static, manual checklists and replace them with scalable controls. Learners will unpack a practical toolbox of privacy safeguards, and map them to specific use cases.

Course Structure:

  • Session 1: AI and The Probabilistic Revolution
  • Session 2: AI Privacy Risks and Safeguards
  • Session 3: The Anatomy of an AI Governance Program
  • Session 4: Principles and Policies
  • Session 5: Mastering Provenance: Data, Model, and Use Cases
  • Session 6: Enforcement
  • Session 7: Auditing and Reporting + Incident Management
  • Session 8: Use Cases Presentation and Discussion

Target Audience:

  • Privacy Professionals Governing AI and Taming its Risks. AI governance teams and professionals building AI governance programs, including leaders, lawyers, policy writers, reviewers, program managers and engineers. You don't need a technical background in AI to attend but you need basic privacy knowledge.

Formats Available:

  • 3-Day Live Virtual/In-Person: Intensive workshop with live instruction and hands-on group work.
  • 8-Week Guided Cohort: Self-paced with pre-recorded videos, weekly assignments, and personalized feedback.
  • On-Demand Access (Self-Study): Instant access to recorded sessions, slide decks, and project templates.
Course Brochure