3-Day Artificial Intelligence Workshop

Day 1 — Machines, Data & AI Basics

Day 1 builds the foundation students need before they begin working with Artificial Intelligence.

Students Learn

• What machines are and how they work
• Machines vs humans
• Mechanical, electronic and smart machines
• Data and information
• Input → Process → Output
• Artificial Intelligence in everyday life

Activities

• Machine Sorting
• Data or Information Quiz
• Input–Process–Output Activity
• Detective Activity
• Human or AI?
• Role Play
• Group Discussion & Debate
• Brain Teasers
• Design Your Dream AI Robot
• Team Quiz

Students finish Day 1 with a basic understanding of machines, data, information and how AI is already being used around them.

Day 2 — Creating with AI & First Python

Day 2 moves students from understanding AI to creating and coding with it.

Students Learn

• Artificial Intelligence Machine Learning
• Deep Learning
• Generative AI
• Prompt Engineering
• AI-created stories, images, video, music and voice
• Presentations, websites, apps and code
• Python basics
• Input, output and variables
• if and else
• Basic calculations
• Responsible AI use
• Deepfakes and online safety

Students also learn a simple approach to writing better prompts:

Role + Task + Details

• Prompt
• Practice Prompt Battle Arena
• Real vs AI
• AI Treasure Hunt
• Meme Competition
• Smart Grade Checker
• Simple Calculator
• Level 2 AI Quiz

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Day 3 — Build, Pitch & Grand Finale

Day 3 focuses on building, problem-solving and presenting.

Students Explore

• No-code building
• Automation
• AI agents
• Robotics
• Internet of Things (IoT)
• Careers in AI
• Building an AI portfolio
• Innovation Challenge
• Project Pitch & Presentation

The workbook introduces five things students can build without code.

1. A Chatbot

Students build a chatbot that answers questions about a chosen topic such as their school, a subject or a hobby. They can give it a name, personality and purpose.

Implementation Tools:
ChatGPT
Recommended: Botpress for creating a more structured chatbot.

2. A Website

Students describe their idea and use AI to help create webpages, text and images that can be published and shared.

Implementation Tool:
Framer AI

The workbook specifically introduces Framer as a tool for creating and publishing websites without writing code.

3. An App

Students create simple applications using screens, buttons and logic through drag-and-drop development.

Examples given in the workbook include:

• Quiz App
• Homework Tracker
• Water Reminder

Implementation Tools:
MIT App Inventor • Glide • Adalo

4. A Game

Students design a simple game with characters, rules and levels. AI can assist with artwork, dialogue and scoring ideas.

Recommended Implementation Tools:
Scratch – for building the game and programming its logic
ChatGPT – for story, dialogue and game ideas
Canva AI / DALL·E – for creating visual assets

The workbook introduces the game as a possible no-code build but does not prescribe one specific game-development platform.

5. A Personal Assistant

Students design an assistant that can remind, summarise or organise information.

Examples include:

• Study Planner
• Revision Buddy
• Task Assistant

Recommended Implementation Tools:
ChatGPT – for conversational assistance
Notion AI – for organising notes, plans and summaries

The personal-assistant project is included in the workbook, while these implementation tools are practical recommendations for conducting the project.

Python Projects

6. Smart Grade Checker

Students create a beginner Python program that accepts marks as input and uses conditions to decide what response should be displayed.

Students Practise

• input()
• Variables
• if
• else
• Comparisons
• print()

Implementation Tools:
Python • Replit

Replit is introduced in the workbook as a browser-based tool for writing and running code.

7. Simple Calculator

Students create a Python calculator that accepts two numbers and performs:

Addition • Subtraction • Multiplication • Division

The activity helps students understand input, variables, operators and program output.

Implementation Tools:
Python • Replit

Final Project — Innovation Challenge & Pitch

The final challenge brings together everything students have explored during the workshop.

Student teams identify a real problem in their school, home or community and create an AI-supported solution.

The 4-Step Challenge

1. Find a Problem
Identify a real problem that needs a solution.

2. Design the AI
Decide how AI or technology could help.

3. Build a Demo
Create a simple working demonstration.

4. Pitch It
Present the solution and explain how it works.

Projects are evaluated on:

Idea • Use of AI • Demo • Teamwork

Suggested Implementation Tools

The tool depends on the solution students choose:

Chatbot: ChatGPT / Botpress
Website: Framer AI
App: MIT App Inventor / Glide
Game: Scratch
Python Solution: Replit
Presentation: Canva AI / Gamma
Images: DALL·E / Canva AI

These are practical implementation choices; the workbook itself leaves the final Innovation Challenge tool open.

AI Tools Students Are Introduced To

The workbook also introduces students to a wider range of current AI tools for awareness and exploration:

ChatGPT • DALL·E • Canva AI • Midjourney • Runway • Suno • ElevenLabs • Gamma • Framer • Replit • Notion AI • Grammarly • Perplexity • Claude • Gemini • Copilot • Jasper AI • Synthesia • Pictory • Murf

Students are not expected to use every tool. The workbook presents them as a reference directory from which suitable tools can be explored.

AI Tools Students Are Introduced To

The workbook also introduces students to a wider range of current AI tools for awareness and exploration:

ChatGPT • DALL·E • Canva AI • Midjourney • Runway • Suno • ElevenLabs • Gamma • Framer • Replit • Notion AI • Grammarly • Perplexity • Claude • Gemini • Copilot • Jasper AI • Synthesia • Pictory • Murf

Students are not expected to use every tool. The workbook presents them as a reference directory from which suitable tools can be explored.

Skills Students Develop

Through the three-day programme, students build:

AI Awareness
Understanding what AI is and how it is used.

Coding Confidence
Writing and modifying beginner Python programs.

Logical Thinking
Understanding inputs, processes, decisions and outputs.

Creative Problem-Solving
Using technology to develop solutions and new ideas.

Prompting Skills
Learning how to communicate effectively with Generative AI.

Project Experience
Turning an idea into a simple working project.

Teamwork
Working together through activities and challenges.

Presentation Skills
Explaining and pitching ideas confidently.

Learn → Create → Code → Build → Present

3 Days. One Practical AI Learning Experience.

Students begin by understanding AI, move on to creating and coding with AI, and finish by building and presenting a project of their own.

The workshop concludes with the Innovation Challenge, Final Pitch, Champions Cup and Certificate of Completion.

SKK Educational Foundation
AI Learning + Python Programming + Project Execution

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