Module 4 – Week 16: Mastery Demonstration and Legacy Portfolio


Unit Title: Demonstrating Mastery and Preparing for Ongoing Impact
Level: Culmination and Strategic Forward Planning
Duration: 180–240 minutes (self-paced, spread over 3–5 days)


🎯 Learning Objectives

By the end of this final week, you should be able to:

  • Evaluate your growth across all four modules.
  • Articulate your AI identity and future vision.
  • Compile a Legacy Portfolio that showcases your skills, values, and contributions.
  • Design a public demonstration of mastery (talk, guide, system, or resource).
  • Plan your continued growth, partnerships, or influence as an AI expert user.

🧭 Lesson Flow

SegmentDurationFormat
1. Reflective Debrief and Timeline Review45 minJournaling + Recap
2. AI Expert Identity Statement30 minSelf-Discovery Writing
3. Building Your Legacy Portfolio60–90 minCuration Task
4. Designing a Mastery Demonstration45–60 minPublic Product or Showcase
5. Final Synthesis + Vision Plan30 minStrategic Reflection

🧑‍🏫 1. Reflective Debrief and Timeline Review

📖 Prompted Journaling (Timeline Style):

Create a visual or written map tracing your journey across the four modules:

ModuleKey InsightTransformative TaskTool Mastered
Foundations of AI & Society“I realised AI isn’t neutral”Ethical self-auditTimeline chart using GPT
Prompting & Tool Integration“I built my first workflow”Chain-based prompt labChatGPT with plug-ins
Roles, Ethics, Positioning“My field has AI gaps I can fill”Role mapping + risk reviewAI ethics framework
Thought Leadership & Legacy“Teaching is my path to grow”Thought post + learning planAI curriculum scaffold

🧭 2. AI Expert Identity Statement

✏️ Write a Personal AI Manifesto (300–500 words):

Include:

  • What you believe about AI’s role in society
  • How you aim to use it responsibly
  • What problems you’re called to solve
  • What values guide your usage
  • Where you feel growth is still needed

Example Excerpt:

“I use AI to expand access to knowledge for underserved communities. I believe in responsible transparency, in decolonising digital power, and in designing prompt workflows that empower educators…”


📦 3. Building Your Legacy Portfolio

📘 What to Include:

ItemDescriptionExample
Prompt Library10–20 tested prompts with notes“Ethical Hiring Prompt” series
Thought Assets3–5 public posts, articles, or visuals“Debunking AI Myths in Mental Health” blog
Use Case WalkthroughsScreenshots, inputs/outputs, analysisPrompt → Output → Revision flow
Ethics + Risk FrameworkYour checklist, scale, or model“3T Model: Transparency, Testing, Trust”
Learning PlansYour 12-month or team pathMiro map, Notion board, Trello

Optional: Use Notion, Canva, or PDF template to assemble these.


🎤 4. Designing a Mastery Demonstration

Choose one of the following to produce:

FormatDescription
🎙️ Webinar or TalkTeach a topic you’ve mastered to a live or recorded audience
🧠 Visual FrameworkDesign a flowchart, matrix, or map that teaches a method
📘 Resource PackPackage a starter kit for your audience (prompts + use cases + guide)
📺 Video ExplainerScreen record a full tool workflow with commentary
📚 Mini CurriculumBuild a 3–5 lesson series for a specific use group

This is your capstone demonstration — something you can share, present, or publish to signal your voice.


🧠 5. Final Synthesis + Vision Plan

📘 Write Your “Vision 12” Plan:

This is your 12-month strategic vision to evolve from “advanced user” to “influencer, teacher, or team leader.”

Include:

  • 3 themes you want to master
  • 3 formats you’ll publish in
  • 3 communities or platforms you’ll build
  • 3 monthly benchmarks to review progress

Example:

TrackGoal
MasteryBecome fluent in AI + video production
PublishingMonthly newsletter, LinkedIn weekly tip, 1 course
CommunityCollaborate with edtech nonprofits
BenchmarksMonthly self-audit, Q2 teaching goal, Q3 portfolio update

🧪 Knowledge Check: Cumulative Mastery Quiz (10 Questions)

  1. What does it mean to be an “AI expert user”?
  2. How do prompting skills differ from developer-level coding?
  3. Name 3 ethical considerations in prompt design.
  4. What are 2 strengths and 2 limits of LLMs?
  5. How does role-mapping help AI adoption?
  6. What is one best practice for testing multi-AI workflows?
  7. How can you share AI tools responsibly with others?
  8. Name one thing that builds public trust in your thought work.
  9. What should a long-term AI learning plan always include?
  10. Why is personal voice more important than technical perfection in AI leadership?

📝 Final Assignment: My AI Legacy Portfolio

📦 Deliverables:

  • Your AI Manifesto
  • A completed 5-part portfolio (see above)
  • One mastery demonstration artefact (talk, framework, kit, etc.)
  • Your “Vision 12” one-page plan
  • A short reflection: “What I’ve built, what I’ve learned, what I’ll teach”

🏁 End-of-Programme Summary

✅ You’ve completed all 4 modules, 16 weeks of content, 50+ activities, and built a living portfolio.
✅ You now stand as an AI expert user, prepared to advise, train, audit, and lead with integrity.
✅ This isn’t an endpoint — it’s a launchpad for innovation, teaching, publishing, and real-world AI transformation.