AI Foundations: One-on-One Program

A condensed 2-hour AI literacy program designed for individual sessions with educators and staff. Derived from the full-day "Practical AI for Professionals" masterclass.

Purpose

This program serves three functions:

1. Live one-on-ones - Personalized sessions tailored to individual goals
2. Self-paced learning - Online option for independent completion
3. Foundation for deeper work - Entry point for ongoing AI integration support

Program Structure

Core Session (2 hours)

Time	Section	Focus
0:00-0:15	Foundations	What AI is/isn't, capabilities, limitations
0:15-0:45	Prompt Engineering	RTCF framework + hands-on practice
0:45-1:00	Break
1:00-1:30	Your Use Case	Apply skills to participant's actual goal
1:30-1:50	Finding Opportunities	AI Opportunity Finder framework
1:50-2:00	Action Planning	This week / this month commitments

Key Frameworks

1. RTCF Prompt Framework - Role, Task, Context, Format
2. AI Opportunity Finder - Automate, Assist, Generate, Analyse
3. Verification Mindset - AI helps, you verify

Repository Structure

one-on-one/
├── README.md                    # This file
├── materials/
│   ├── core-frameworks.md       # Framework reference sheet
│   ├── session-outline.md       # Detailed 2-hour outline
│   └── techniques.md            # Interactive techniques library
├── templates/
│   ├── session-plan.md          # Template for planning sessions
│   └── action-plan.md           # Participant take-home template
└── sessions/
│   └── YYYY-MM-DD-name.md       # Individual session plans

Delivery Modes

Live One-on-One

• Facilitator-led, highly personalized
• "Your Use Case" section uses participant's actual work
• Real-time adaptation based on experience level

Self-Paced Online

• Same structure, video/text hybrid
• Generic exercises replace personalized section
• Async support available

Prerequisites

Participants should:

• Have a laptop with internet access
• Create free accounts on at least one AI tool:
  • Claude: claude.ai
  • ChatGPT: chat.openai.com
  • Gemini: gemini.google.com
• Come with a real task or goal in mind

Philosophy

• Skills over theory - Learn by doing, not watching
• Their work, not case studies - Every session connects to real tasks
• Verification mindset - AI assists, humans decide
• Start small - One experiment this week beats grand plans

Related Resources

• Full-day course: /exec-ed/ai-for-professionals
• Presentation materials: /presentations/ai-for-educators