Unit Title: Translating AI Skills into Careers, Fields, and Sectors
Level: Professional Application
Duration: 120–150 minutes (can be divided over two learning sessions)
🎯 Learning Objectives
By the end of this week, you should be able to:
- Understand the distinction between AI developer, AI technician, and AI expert user.
- Map your AI skills to a specific professional role or job cluster.
- Explore the domain-specific integration of AI tools across fields like education, healthcare, policy, and marketing.
- Begin crafting a role-specific toolkit and prompt library.
🧭 Lesson Flow
| Segment | Duration | Format |
|---|---|---|
| 1. Role Definitions and Market Trends | 20 min | Concept Clarification |
| 2. AI Expert User Profiles | 30 min | Role Mapping |
| 3. Domain Use Cases | 25 min | Field-Based Scenarios |
| 4. Custom Toolkits and Prompt Libraries | 25 min | Application Blueprint |
| 5. Exercises + Knowledge Check | 40–60 min | Planning and Reflection |
🧑🏫 1. Role Definitions and Market Trends
📖 Teaching Script:
Not everyone who works with AI is a coder or engineer. The future workforce needs:
- AI creators (builders, coders)
- AI custodians (ethicists, regulators)
- AI expert users (power users and integrators)
This module focuses on that third category: users who lead, deploy, and train others using AI.
📘 Distinction Between AI Roles:
| Role Type | Description | Key Skill |
|---|---|---|
| Developer | Codes the models/tools | Programming, ML theory |
| Technician | Installs, tests, troubleshoots systems | Systems integration |
| Expert User | Designs workflows, trains teams, applies AI | Prompt mastery, domain fluency |
🧠 Emerging Job Titles (non-coding):
- AI Strategist
- Prompt Engineer (non-dev)
- AI-Enhanced Researcher
- Creative AI Consultant
- AI Ethics Advisor
- Digital Learning Designer (AI-augmented)
🔎 2. AI Expert User Profiles
🧪 Profile Examples:
- The AI-Driven Educator
- Uses AI to generate lesson plans, feedback, quizzes
- Designs personalised learning paths
- Acts as content editor and pedagogy strategist
- The AI Policy Analyst
- Uses generative AI to summarise legislation
- Cross-compares regulations and generates policy memos
- Highlights risks, bias, and compliance gaps
- The AI Marketing Specialist
- Prompts for campaign slogans, audience segmentation
- Uses AI to analyse customer data and A/B content
- Designs repeatable branding flows
🧠 Tool Patterns by Role:
| Role | Typical Tools |
|---|---|
| Educator | ChatGPT, Notion AI, Canva, Curipod |
| Researcher | Claude, Perplexity, Scite, Zotero |
| Designer | Midjourney, DALL·E, Figma AI |
| Content Writer | Jasper, Grammarly, SudoWrite |
🌐 3. Domain Use Cases and AI Scenarios
📘 Use Cases by Sector:
| Sector | Use Case | AI Use |
|---|---|---|
| Education | Feedback at scale | Auto-commenting on essays with AI tone variation |
| Healthcare | Patient intake summaries | Condense patient history for clinicians |
| Legal | Regulation tracking | Compare data protection laws across countries |
| Media | Headline testing | Generate and evaluate emotional impact of 10 variations |
| NGOs | Policy briefs | Write short, multilingual briefings for regional reports |
🧪 Three Scenarios to Study:
- Training a Team with AI
- Role: Department Head
- Task: Design AI training using 4 tools
- Outcome: Better team workflow, cost/time saved
- Client Services + Reporting
- Role: Analyst at consulting firm
- Task: Use AI to write weekly reports, visualise trends
- AI reduces 5 hours/week per analyst
- Startup Product Testing
- Role: AI Product Tester
- Task: Compare outputs of 3 tools for emotional tone matching
- Report strengths/weaknesses of each and recommend use case
🛠️ 4. Custom Toolkits and Prompt Libraries
📘 Your Toolkit Components:
- 3–5 core AI tools (writing, data, visuals, planning)
- 1 prompt system per frequent task
- 1 evaluation grid for testing prompt quality
- 1 library of reusable templates (role-specific)
✏️ Example Prompt Templates by Role:
Educator Prompt Template
“Create a 30-minute lesson on [topic] for [age group]. Include intro, activity, reflection question.”
Legal Advisor Prompt Template
“Summarise the key differences between [Law A] and [Law B] in bullet format with examples.”
Policy Prompt Template
“Draft a 500-word policy brief on [issue], for [stakeholder]. Include 2 data points and 1 quote.”
🧪 5. Exercises + Knowledge Check
✅ Exercise 1: Role Match Mapping
Pick your profession (or target career).
Map 3 AI-enhanced tasks that would benefit your role.
Example:
- Writer → Drafting blogs faster
- Designer → Visual moodboarding
- Educator → Automated quiz generation
✅ Exercise 2: Build a Starter Toolkit
Choose one professional domain.
List:
- 3 AI tools to support that work
- 2 prompt templates
- 1 workflow example to test
✅ Exercise 3: Identify Opportunities
Read a job description from your target field.
Ask: “Which parts of this job could be done faster or better with AI?”
Write a 150-word reflection.
🧠 Knowledge Check (10 Questions)
- What’s the difference between AI developer and expert user?
- Name one emerging job that doesn’t require coding.
- Describe the profile of an AI-enhanced educator.
- List 3 AI tools useful for research.
- What’s a prompt system, and why is it useful?
- What kind of task would an AI strategist do?
- How can NGOs use AI?
- What should go into an AI prompt library?
- Give one example of an AI-enhanced domain-specific workflow.
- Why is role-mapping important for AI expert users?
📝 Wrap-Up Assignment (Optional)
Title: “My AI-Augmented Career: First Map”
Include:
- Your field of focus
- 3 use cases of AI in your current or ideal role
- 2 role-specific prompt templates
- 1 plan to upskill further using AI in your domain
- Reflection: How will AI change your career trajectory?
📦 End-of-Week Deliverables
- ✅ Role mapping complete
- ✅ Prompt templates crafted
- ✅ Toolkit list made
- ✅ Knowledge check answered
- ✅ Optional: Career reflection written