Capstone Project

Capstone Project

10 hours 10 sections 2 prerequisites

What You'll Learn

  • Demonstrate mastery of all four program phases
  • Create a portfolio-worthy AI project
  • Apply end-to-end AI operator skills

Prerequisites

  • All Phase 1-4 modules
  • Labs 1-7
Part 1 of 10

Project Overview

Your capstone project demonstrates mastery of the complete AI Analyst curriculum. You'll identify a real business challenge, design an AI solution, build a working prototype, and present a comprehensive business case.

This project becomes the centerpiece of your professional portfolio—evidence of your AI operator capabilities.


Part 2 of 10

Project Options

Option A: Enterprise AI Transformation

Design and prototype an AI initiative for a department or function.

Deliverables:

  1. Current state analysis with process maps
  2. AI opportunity assessment
  3. Working AI assistant or automation prototype
  4. ROI analysis and business case
  5. Governance recommendations
  6. Implementation roadmap

Best for: Those targeting enterprise roles or consulting


Option B: AI-Enhanced Product/Service

Create an AI-powered feature or service offering.

Deliverables:

  1. Market opportunity analysis
  2. Product/service specification
  3. Working prototype demonstrating core AI functionality
  4. Pricing and go-to-market recommendations
  5. Technical architecture overview
  6. Scaling considerations

Best for: Those in product roles or entrepreneurship


Option C: AI Operations Playbook

Create a comprehensive playbook for AI adoption in a specific domain.

Deliverables:

  1. Domain analysis (industry, function, or use case type)
  2. AI opportunity catalog (10+ specific applications)
  3. Template library (prompts, workflows, assessments)
  4. Best practices guide
  5. Case studies (3+ documented examples)
  6. Training curriculum outline

Best for: Those targeting training, enablement, or thought leadership


Option D: Personal AI System

Build a comprehensive AI system for your own professional use.

Deliverables:

  1. Personal workflow audit
  2. AI tool ecosystem design
  3. 3+ working AI assistants/automations
  4. Prompt library (20+ tested prompts)
  5. Quality and governance approach
  6. Usage analytics and improvement plan

Best for: Individual contributors wanting to demonstrate hands-on skills


Part 3 of 10

Project Requirements

All capstone projects must include:

Phase 1 Application (AI Literacy)

  • Evidence of model/provider selection rationale
  • Documented prompt engineering approach
  • Cost analysis and optimization

Phase 2 Application (Workflow Engineering)

  • Process documentation
  • Task decomposition
  • Quality gates and human handoffs

Phase 3 Application (Implementation)

  • Working prototype (assistant, automation, or both)
  • Testing documentation
  • Deployment approach

Phase 4 Application (Strategy & Economics)

  • Business case with ROI
  • Stakeholder analysis
  • Governance considerations

Part 4 of 10

Project Timeline

Week 1: Foundation

  • Select project option
  • Define scope and objectives
  • Conduct initial research
  • Create project plan

Checkpoint: Project proposal (1 page)

Week 2-3: Design & Analysis

  • Complete current state analysis
  • Design AI solution
  • Draft business case
  • Begin prototype development

Checkpoint: Design document + initial prototype

Week 4-5: Build & Test

  • Complete prototype
  • Conduct testing
  • Document learnings
  • Refine business case

Checkpoint: Working prototype + test results

Week 6: Polish & Present

  • Finalize all deliverables
  • Create presentation
  • Prepare for questions
  • Submit final package

Final submission: Complete capstone package


Part 5 of 10

Evaluation Rubric

Technical Execution (30%)

Criterion 1 (Developing) 3 (Proficient) 5 (Exemplary)
AI Design Basic prompts, single model Well-designed prompts, appropriate model selection Sophisticated prompt engineering, multi-model architecture
Implementation Works with limitations Solid functionality, handles edge cases Robust, production-ready quality
Testing Minimal testing Systematic test plan Comprehensive testing with iteration

Business Acumen (30%)

Criterion 1 (Developing) 3 (Proficient) 5 (Exemplary)
Problem Definition Vague problem statement Clear problem with context Compelling problem with market/organizational insight
Value Proposition Limited value articulation Clear benefits identified Quantified ROI with sensitivity analysis
Feasibility Overlooks implementation challenges Acknowledges key challenges Comprehensive implementation roadmap

Process & Methodology (20%)

Criterion 1 (Developing) 3 (Proficient) 5 (Exemplary)
Workflow Design Ad hoc approach Structured methodology Systematic process with quality gates
Governance Risk not addressed Basic risk awareness Comprehensive governance framework
Documentation Minimal documentation Complete documentation Exemplary documentation with rationale

Communication (20%)

Criterion 1 (Developing) 3 (Proficient) 5 (Exemplary)
Presentation Hard to follow Clear and organized Compelling narrative, executive-ready
Written Materials Basic writing Professional quality Publication-quality writing
Visual Design Cluttered or basic Clean and professional Polished and impactful

Part 6 of 10

Submission Package

Required Components

  1. Executive Summary (1-2 pages)

    • Problem statement
    • Solution overview
    • Key results and value
    • Recommendation
  2. Full Project Report (10-20 pages)

    • All required deliverables for chosen option
    • Supporting analysis
    • Technical documentation
  3. Working Prototype

    • Link to live assistant/automation
    • OR video demonstration
    • OR detailed walkthrough with screenshots
  4. Presentation Deck (10-15 slides)

    • Executive-ready presentation
    • Speaking notes included
  5. Appendices

    • Prompt library used
    • Test cases and results
    • Additional supporting materials

Part 7 of 10

Portfolio Guidance

Showcasing Your Capstone

LinkedIn/Professional profiles:

  • Feature 2-3 key metrics from your project
  • Link to executive summary
  • Describe the business problem and your solution

Interviews:

  • Be ready to demo your prototype
  • Prepare to discuss trade-offs and decisions
  • Have metrics memorized

Portfolio site (if applicable):

  • Create a case study format
  • Include visuals from your project
  • Show before/after comparisons

Part 8 of 10

Getting Help

Resources Available

  • AI Sandbox for prototype development
  • Curriculum materials for reference
  • Peer review opportunities
  • Office hours with instructors

Common Challenges

Challenge Approach
Scope too big Focus on demonstrating skills, not solving everything
Can't access real data Use realistic synthetic data
Prototype limitations Document what you'd do with more resources
Business case assumptions Be explicit, show sensitivity analysis

Part 9 of 10

Final Checklist

Before submitting, verify:

Completeness

  • All required deliverables included
  • All four phases represented
  • Working prototype accessible
  • Presentation deck complete

Quality

  • Proofread and professional
  • Technical accuracy verified
  • Business logic sound
  • Visual design polished

Impact

  • Clear value proposition
  • Metrics and evidence
  • Actionable recommendations
  • Portfolio-ready

Part 10 of 10

Congratulations!

Completing your capstone project marks your transition from AI learner to AI operator. You've built:

  • Technical skills to work with AI systems effectively
  • Business acumen to drive AI value in organizations
  • Strategic thinking to navigate AI opportunities and risks
  • Practical experience through hands-on projects

Welcome to the future of work. You're ready to operate it.

Ready to Complete?

You've viewed 0 of 10 sections. Mark this lab as complete when you're done.