About This Program
An interdisciplinary career program for professionals responsible for trustworthy AI adoption, model risk, safety, compliance and assurance. Learners develop sufficient technical fluency to examine data, models, generative AI applications and agentic systems while building the governance structures needed to control them throughout the lifecycle. The curriculum combines international frameworks, impact assessment, policy design, quantitative and qualitative evaluation, fairness, privacy, explainability, red teaming, third-party assurance, monitoring and audit evidence. The capstone requires learners to produce and defend a complete AI assurance case for a realistic organizational deployment.
What You'll Get
Applied NIST AI RMF and ISO/IEC 42001 Practice
Model Evaluation, Red Teaming and Assurance Laboratories
AI Impact Assessment and Control Design
Regulatory Readiness and Third-Party Risk Management
Faculty-Reviewed AI Assurance Capstone
Program Curriculum
1AI Systems & Governance Foundations2 Weeks
Key Topics:
AI System Concepts, Actors and Sociotechnical Boundaries
AI Lifecycle from Problem Definition to Retirement
Governance, Risk, Compliance and Assurance Functions
Accountability Models and the Three Lines Framework
Stakeholder Mapping, Rights, Impacts and Power
Trustworthiness Characteristics and Evidence-Based Claims
2Data, Machine Learning & Generative AI Literacy3 Weeks
Key Topics:
Data Provenance, Quality, Labeling and Representativeness
Supervised, Unsupervised and Reinforcement Learning Concepts
Training, Validation, Testing and Generalization
Performance Metrics, Thresholds and Error Tradeoffs
Foundation Models, RAG, Agents and Tool-Integrated Systems
Technical Limitations, Emergent Behavior and Failure Modes
3Responsible AI, Ethics & Human-Centered Practice3 Weeks
Key Topics:
Ethical Reasoning for AI Design and Deployment
Fairness, Accountability, Transparency and Contestability
Human Autonomy, Dignity, Inclusion and Accessibility
Participatory Design and Affected-Community Engagement
Human Oversight, Meaningful Control and Escalation
Responsible Innovation, Dual Use and Misuse Analysis
4AI Risk Management & Impact Assessment4 Weeks
Key Topics:
NIST AI RMF Govern, Map, Measure and Manage Functions
AI Use-Case Classification, Context and Risk Tolerance
Hazard Identification, Misuse Cases and Impact Pathways
Likelihood, Severity, Uncertainty and Residual Risk
AI System Impact Assessments and Risk Treatment Plans
Risk Registers, Controls, Owners and Decision Records
5Global AI Law, Policy & Regulatory Readiness3 Weeks
Key Topics:
Risk-Based AI Regulation and Regulatory Taxonomies
EU AI Act Roles, Risk Categories and Lifecycle Obligations
Indian AI Policy, Privacy and Digital Governance Landscape
Comparative International and Sector-Specific Requirements
Transparency, Documentation and Individual Rights
Regulatory Horizon Scanning and Compliance Mapping
6AI Management Systems, Policies & Controls3 Weeks
Key Topics:
ISO/IEC 42001 AI Management System Structure
Leadership, Governance Committees and Accountability Charters
AI Policies, Standards, Procedures and Control Objectives
AI Inventory, Use-Case Intake and Approval Workflows
Competence, Training, Communication and Change Management
Management Review, Corrective Action and Continual Improvement
7Technical Evaluation, Validation & TEVV4 Weeks
Key Topics:
Evaluation Plans, Claims, Testable Requirements and Baselines
Dataset Construction, Sampling, Coverage and Data Leakage
Accuracy, Calibration, Robustness and Reliability Testing
Generative AI Groundedness, Hallucination and Quality Evaluation
Agent Task Success, Tool-Use and Excessive-Agency Evaluation
Human Evaluation, Model-Based Grading and Statistical Analysis
8Fairness, Explainability, Privacy & Human Factors3 Weeks
Key Topics:
Bias Sources, Protected Groups and Allocation Harms
Group, Individual and Intersectional Fairness Metrics
Explainability Methods, Limitations and Audience Needs
Privacy Engineering, Data Minimization and De-Identification
Consent, Purpose Limitation and Sensitive Data Governance
Automation Bias, Usability, Accessibility and Human Performance
9AI Safety, Security & Red Teaming4 Weeks
Key Topics:
AI Threat Modeling, Attack Surfaces and Abuse Cases
Data Poisoning, Model Evasion, Extraction and Inversion
Prompt Injection, Jailbreaks, Tool Abuse and Data Exfiltration
Adversarial Test Design and Multidisciplinary Red Teaming
Guardrails, Sandboxing, Access Control and Defense in Depth
Safety Cases, Limitations, Residual Risk and Release Decisions
10Third-Party AI, Procurement & Supply-Chain Assurance2 Weeks
Key Topics:
Vendor Due Diligence and AI Procurement Requirements
Model Cards, System Cards and Technical Documentation Review
Data, Model, Software and Infrastructure Supply-Chain Risk
Contracts, Service Levels, Audit Rights and Incident Duties
Open-Weight Models, Licenses and Intellectual Property Risk
Concentration Risk, Exit Plans and Provider Substitution
11Monitoring, Incident Response & Independent Assurance2 Weeks
Key Topics:
Production Metrics, Drift, Emerging Risk and Control Monitoring
User Feedback, Complaints, Appeals and Recourse Mechanisms
AI Incident Classification, Investigation and Notification
Audit Planning, Sampling, Evidence and Findings
Control Testing, Assurance Opinions and Remediation Tracking
Executive, Board and Regulatory Risk Reporting
12AI Assurance Capstone & Career Readiness3 Weeks
Key Topics:
Organizational AI Governance and Maturity Assessment
High-Impact Use-Case Risk and Impact Assessment
Evaluation Protocol, Test Suite and Findings Analysis
Policy, Control Framework and Governance Operating Model
Red-Team Exercise, Incident Simulation and Remediation Plan
Faculty Assurance Review, Executive Briefing and Defense
Professional Portfolio, Case Interviews and Role Readiness
Course Fee
₹95,000/ 9 Months
Limited seats available for next batch.