Capstone Selection

Capstone Project Options

Choose from six comprehensive project options designed to demonstrate your mastery of AI governance across different domains, regulatory frameworks, and organizational contexts.

Selecting Your Capstone Project

Your capstone project should align with your career interests, professional experience, and the AI governance challenges most relevant to your organization or target industry. Consider these factors when making your selection:

💼
Career Alignment
Choose a project that enhances your professional portfolio
🎯
Industry Focus
Select based on your target sector or current employer
📈
Skill Development
Target areas where you want to deepen expertise
📚
Resource Access
Consider data and case study availability

Project Options

1

AI Governance Framework Design

Difficulty:
Intermediate

Design a comprehensive AI governance framework for a hypothetical or real organization. This project requires you to develop policies, procedures, roles, and oversight mechanisms that enable responsible AI development and deployment while maintaining business agility.

Key Deliverables

  • AI Governance Charter
  • Roles & Responsibilities Matrix
  • AI Policy Suite (10+ policies)
  • Risk Assessment Framework
  • Implementation Roadmap
  • KPI Dashboard Design

Skills Demonstrated

  • Policy Development
  • Organizational Design
  • Risk Management
  • Stakeholder Analysis
  • Change Management
  • Strategic Planning

Modules Applied

  • Module 1: AI Governance Fundamentals
  • Module 3: Risk Management
  • Module 6: Ethical AI
  • Module 9: AI Policy & Strategy
  • Module 10: Audit & Compliance
Governance Policy Enterprise Risk Management Strategy
2

EU AI Act Compliance Program

Difficulty:
Advanced

Develop a complete EU AI Act compliance program for an organization deploying high-risk AI systems. This project addresses the full lifecycle of compliance from risk classification through conformity assessment and ongoing monitoring obligations.

Key Deliverables

  • AI System Inventory & Classification
  • Risk Management System Documentation
  • Data Governance Framework
  • Technical Documentation Package
  • Conformity Assessment Procedures
  • Post-Market Monitoring Plan

Skills Demonstrated

  • Regulatory Interpretation
  • Compliance Program Design
  • Technical Documentation
  • Quality Management
  • Conformity Assessment
  • EU Legal Requirements

Modules Applied

  • Module 2: Global AI Regulations
  • Module 4: Data Privacy & AI
  • Module 7: Technical AI Concepts
  • Module 10: Audit & Compliance
  • Module 11: Sector Applications
EU AI Act Compliance High-Risk AI Conformity Documentation
3

AI Vendor Due Diligence Framework

Difficulty:
Beginner-Intermediate

Create a comprehensive vendor due diligence framework for organizations procuring AI systems from third-party providers. This project addresses contractual, technical, ethical, and regulatory considerations in AI procurement decisions.

Key Deliverables

  • Vendor Assessment Questionnaire
  • Risk Scoring Methodology
  • Contract Requirements Checklist
  • Vendor Monitoring Framework
  • Exit Strategy Guidelines
  • Case Study Analysis

Skills Demonstrated

  • Vendor Management
  • Contract Analysis
  • Risk Assessment
  • Technical Evaluation
  • Procurement Strategy
  • Third-Party Risk

Modules Applied

  • Module 3: Risk Management
  • Module 5: AI Contracts & Liability
  • Module 7: Technical AI Concepts
  • Module 8: AI IP & Ownership
  • Module 10: Audit & Compliance
Procurement Third-Party Risk Contracts Vendor Management Due Diligence
4

AI Ethics Audit Methodology

Difficulty:
Advanced

Develop a comprehensive AI ethics audit methodology that organizations can use to assess fairness, transparency, accountability, and human impact of their AI systems. Includes practical tools, checklists, and remediation guidance.

Key Deliverables

  • Ethics Audit Framework
  • Bias Assessment Methodology
  • Stakeholder Impact Analysis
  • Transparency Evaluation Criteria
  • Remediation Playbook
  • Sample Audit Report

Skills Demonstrated

  • Ethics Analysis
  • Audit Methodology
  • Fairness Assessment
  • Stakeholder Engagement
  • Remediation Planning
  • Impact Analysis

Modules Applied

  • Module 6: Ethical AI
  • Module 7: Technical AI Concepts
  • Module 10: Audit & Compliance
  • Module 3: Risk Management
  • Module 11: Sector Applications
Ethics Audit Fairness Bias Transparency
5

Cross-Border AI Deployment Strategy

Difficulty:
Expert

Create a comprehensive strategy for deploying AI systems across multiple jurisdictions (minimum 3 regions). Address regulatory harmonization, data transfer mechanisms, localization requirements, and governance structures for multinational AI operations.

Key Deliverables

  • Multi-Jurisdictional Regulatory Analysis
  • Data Transfer Strategy
  • Localization Requirements Matrix
  • Global Governance Model
  • Compliance Harmonization Plan
  • Country-Specific Implementation Guides

Skills Demonstrated

  • Comparative Regulation
  • International Compliance
  • Data Localization
  • Global Strategy
  • Regulatory Harmonization
  • Multi-Cultural Governance

Modules Applied

  • Module 2: Global AI Regulations
  • Module 4: Data Privacy & AI
  • Module 9: AI Policy & Strategy
  • Module 1: AI Governance
  • Module 11: Sector Applications
International Multi-Jurisdictional Data Transfer Global Strategy Localization
6

AI Incident Response Plan

Difficulty:
Intermediate

Develop a comprehensive AI incident response plan covering detection, classification, response, recovery, and communication for AI system failures, bias incidents, security breaches, and other AI-specific incidents.

Key Deliverables

  • Incident Classification Taxonomy
  • Detection & Monitoring Framework
  • Response Playbooks
  • Escalation Procedures
  • Communication Templates
  • Post-Incident Analysis Methodology

Skills Demonstrated

  • Incident Management
  • Crisis Communication
  • Business Continuity
  • Root Cause Analysis
  • Recovery Planning
  • Regulatory Notification

Modules Applied

  • Module 3: Risk Management
  • Module 5: AI Contracts & Liability
  • Module 10: Audit & Compliance
  • Module 7: Technical AI Concepts
  • Module 6: Ethical AI
Incident Response Crisis Management Recovery Communication Monitoring

Project Comparison

Project Difficulty Duration Best For Primary Focus
AI Governance Framework Intermediate 10-12 weeks Governance Professionals Policy & Strategy
EU AI Act Compliance Advanced 12 weeks Compliance Officers Regulatory Compliance
Vendor Due Diligence Beginner-Int 8-10 weeks Procurement/Risk Teams Third-Party Risk
AI Ethics Audit Advanced 10-12 weeks Ethics/Audit Professionals Ethics & Fairness
Cross-Border Strategy Expert 12 weeks Global/Legal Teams International Compliance
Incident Response Plan Intermediate 8-10 weeks Security/Operations Risk & Response

Selection Tips

💡

Leverage Your Experience

Choose a project that builds on your existing professional experience. If you work in financial services, consider the vendor due diligence or ethics audit options.

🎯

Consider Your Goals

Align your project with career aspirations. If you want to specialize in EU compliance, the AI Act project provides excellent portfolio credentials.

📊

Assess Resource Needs

Some projects require access to real organizational data or case studies. Ensure you have the resources needed for your chosen option.

⏱

Plan Your Time

Expert-level projects require more intensive research. Consider your available time and select a project that matches your schedule.

🤝

Discuss with Your Mentor

Your assigned mentor can help you choose based on your background and goals. Schedule a consultation before finalizing your selection.

📜

Portfolio Value

All deliverables become part of your professional portfolio. Choose a project that will showcase your expertise to future employers or clients.

Ready to Start Your Capstone?

Once you've selected your project, review the detailed guidelines to understand methodology requirements, deliverable expectations, and timeline milestones.

View Project Guidelines → See Evaluation Criteria