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
Segment | Duration | Format |
---|---|---|
1. Reflective Debrief and Timeline Review | 45 min | Journaling + Recap |
2. AI Expert Identity Statement | 30 min | Self-Discovery Writing |
3. Building Your Legacy Portfolio | 60–90 min | Curation Task |
4. Designing a Mastery Demonstration | 45–60 min | Public Product or Showcase |
5. Final Synthesis + Vision Plan | 30 min | Strategic Reflection |
🧑🏫 1. Reflective Debrief and Timeline Review
📖 Prompted Journaling (Timeline Style):
Create a visual or written map tracing your journey across the four modules:
Module | Key Insight | Transformative Task | Tool Mastered |
---|---|---|---|
Foundations of AI & Society | “I realised AI isn’t neutral” | Ethical self-audit | Timeline chart using GPT |
Prompting & Tool Integration | “I built my first workflow” | Chain-based prompt lab | ChatGPT with plug-ins |
Roles, Ethics, Positioning | “My field has AI gaps I can fill” | Role mapping + risk review | AI ethics framework |
Thought Leadership & Legacy | “Teaching is my path to grow” | Thought post + learning plan | AI 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:
Item | Description | Example |
---|---|---|
Prompt Library | 10–20 tested prompts with notes | “Ethical Hiring Prompt” series |
Thought Assets | 3–5 public posts, articles, or visuals | “Debunking AI Myths in Mental Health” blog |
Use Case Walkthroughs | Screenshots, inputs/outputs, analysis | Prompt → Output → Revision flow |
Ethics + Risk Framework | Your checklist, scale, or model | “3T Model: Transparency, Testing, Trust” |
Learning Plans | Your 12-month or team path | Miro 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:
Format | Description |
---|---|
🎙️ Webinar or Talk | Teach a topic you’ve mastered to a live or recorded audience |
🧠 Visual Framework | Design a flowchart, matrix, or map that teaches a method |
📘 Resource Pack | Package a starter kit for your audience (prompts + use cases + guide) |
📺 Video Explainer | Screen record a full tool workflow with commentary |
📚 Mini Curriculum | Build 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:
Track | Goal |
---|---|
Mastery | Become fluent in AI + video production |
Publishing | Monthly newsletter, LinkedIn weekly tip, 1 course |
Community | Collaborate with edtech nonprofits |
Benchmarks | Monthly self-audit, Q2 teaching goal, Q3 portfolio update |
🧪 Knowledge Check: Cumulative Mastery Quiz (10 Questions)
- What does it mean to be an “AI expert user”?
- How do prompting skills differ from developer-level coding?
- Name 3 ethical considerations in prompt design.
- What are 2 strengths and 2 limits of LLMs?
- How does role-mapping help AI adoption?
- What is one best practice for testing multi-AI workflows?
- How can you share AI tools responsibly with others?
- Name one thing that builds public trust in your thought work.
- What should a long-term AI learning plan always include?
- 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.