by TensorHub Technologies
Programs / AI Governance & Ethics
Risk, Policy & Trust

AI Governance & Ethics

Build the policy, risk, and compliance backbone every enterprise AI program needs. Covers EU AI Act, NIST AI RMF, data governance, bias and fairness, explainability, and how to get AI initiatives through legal and risk review — without stalling innovation.

Duration
10 Weeks
Commitment
6–8 hrs/wk
Format
Live + Self-paced
Level
All levels
Curriculum

From regulatory framework to enterprise policy

1

Regulatory Landscape

Weeks 1–3
  • EU AI Act: risk tiers, obligations, and timelines
  • NIST AI Risk Management Framework (AI RMF)
  • ISO/IEC 42001 and sector-specific regulation (finance, healthcare)
  • Comparing global regulatory approaches to AI
2

Governance, Risk & Data Policy

Weeks 4–5
  • Building an enterprise AI governance framework
  • AI risk registers and impact assessments
  • Data governance, privacy, and consent for AI systems
  • Vendor and third-party model risk management
3

Bias, Fairness & Explainability

Weeks 6–8
  • Detecting and measuring bias in models and agent decisions
  • Fairness metrics and mitigation techniques
  • Explainability tooling and transparency reporting
  • Human oversight design for high-risk AI use cases
4

Audit, Reporting & Capstone

Weeks 9–10
  • Building audit trails and compliance documentation
  • Incident response for AI governance failures
  • Capstone: write a governance framework and risk assessment for a real AI use case
Outcomes

What you'll be able to do

  • Map an AI system to EU AI Act risk tiers and NIST AI RMF controls
  • Build an enterprise AI governance policy and risk register
  • Detect and mitigate bias in models and agentic decision-making
  • Design human oversight for high-risk AI deployments
  • Prepare audit-ready documentation for regulators and internal risk teams
Real-World Use Cases

Built on enterprise scenarios

Banking

Credit-decisioning agent risk review

Full risk assessment and fairness audit for an AI-assisted loan approval workflow under EU AI Act high-risk rules.

Healthcare

Clinical AI governance framework

Governance policy for a diagnostic-support agent, including human oversight and explainability requirements.

Public Sector

Citizen services chatbot audit

Bias and transparency audit for a government-facing AI assistant handling benefits eligibility queries.

Job Market

Compensation & demand

Indicative ranges based on current AI governance and responsible-AI hiring patterns — actual compensation varies by experience, company, and geography.

RoleIndia (Annual)Global (Annual)
AI Governance / Risk Analyst₹15L – ₹40L$110K – $190K
AI Governance Engineer / Manager₹28L – ₹70L$150K – $280K
Head of Responsible AI₹60L – ₹1.5Cr+$250K – $420K+

Demand is accelerating fastest in regulated sectors — banking, insurance, healthcare, and public sector — as the EU AI Act and similar frameworks move to enforcement.

Designed and delivered by a Claude Architect–certified Forward Deployed Engineer

Governance frameworks here are grounded in what actually gets an AI system past legal, security, and risk review in enterprise deployments — not just theory.

Claude Architect Certified Former Forward Deployed Engineer Enterprise Risk & Compliance Experience
FAQ

Common questions

Is this for technical or non-technical professionals?

Both. This program is designed for engineers, product managers, legal/compliance professionals, and risk leaders who need to work together on AI governance.

Does this cover specific regional regulations?

Yes — EU AI Act is covered in depth, with modules comparing US, UK, and India's emerging AI governance approaches.

Make responsible AI a competitive advantage, not a blocker.

Get the full syllabus and a sample governance framework template.