AI Governance, Risk & ImplementationMastery Program^™

AI Governance, Risk & Compliance

Ideal for

• Privacy Professionals
• Compliance Officers
• Risk Professionals
• Lawyers
• Auditors
• Consultants
• Internal Audit
• Governance Managers

Future roles

Titles vary by employer and region, focus on the responsibilities.

• AI Governance Specialist

  Designs and runs the day-to-day playbook for how AI is approved, monitored, and reported inside the organization.

• AI Risk Manager

  Identifies risks in AI systems across their lifecycle and coordinates mitigation with business owners.

• Responsible AI Analyst

  Reviews AI use cases for fairness, safety, and appropriate human oversight before and after launch.

• AI Compliance Officer

  Aligns AI use with laws, regulations, and internal policies, and documents that alignment for auditors.

• AI Privacy Professional

  Evaluates how AI systems collect and use personal data and advises on privacy-safe design choices.

• AI Governance Consultant

  Advises multiple organizations on building or maturing their responsible AI programs.

• AI Program Manager

  Leads cross-functional responsible AI initiatives, aligning legal, risk, product, and engineering.

• AI Policy Advisor

  Translates emerging AI laws and standards into practical guidance leaders and teams can act on.

• AI Ethics Officer

  Champions ethical AI use across the organization, translating principles like fairness, transparency, and accountability into practical guidance, review criteria, and escalation paths for teams building and deploying AI.

AI Evaluation & Human Feedback

Ideal for

• Analysts
• Reviewers
• Career Changers
• Recent Graduates
• Educators
• QA Professionals

Topics include

• Prompt evaluation
• AI testing
• Human-in-the-loop
• Data labeling
• Response evaluation
• Safety review
• Quality assurance

Future roles

Titles vary by employer and region, focus on the responsibilities.

• AI Trainer

  Guides how AI systems learn from human input by preparing examples and correcting mistakes.

• AI Evaluator

  Reviews AI outputs against clear criteria to check accuracy, safety, and appropriate use.

• RLHF Specialist

  Provides structured human feedback that shapes AI behavior toward helpful, safe, honest responses.

• AI Data Annotator

  Labels and quality-checks the data AI systems learn from, following detailed guidelines.

• AI Quality Analyst

  Measures AI system performance over time and flags patterns that need engineering or policy attention.

• AI Prompt Evaluator

  Tests prompts and responses to find failure modes and improve reliability before release.

• Human Feedback Specialist

  Delivers consistent, well-reasoned human judgment that trains and evaluates AI models.

• AI Tutor

  Teaches AI models domain knowledge and reasoning by providing worked examples and explanations.