Theoretical Training Day → Overview

Theoretical Concepts in Artificial Intelligence 🤖

A full day to understand AI from its roots — what it is, how it thinks, how it generates, and how to use it responsibly. Tomorrow, we apply everything practically on Microsoft Copilot.

⏱ 4 Hours 📚 5 Lessons ✂️ 7 Activities 🎯 Theoretical
5
Main Topics
7
Group Activities
4
Training Hours
1
Break

📅 Today's Agenda

9:00 – 9:35
AI Basics
Definition, the difference between AI/ML/DL, a brief history from Turing to GPT, and terminology exercise
Lesson
9:35 – 9:50
Activity: Paper-based Machine Learning
Grouping unlabeled cards then classifying them — Clustering vs Classification
Activity
9:50 – 10:10
Generative AI
GPT, LLMs, Computer Vision, NLP, NLG — and where we see them in real life
Lesson
10:10 – 10:20
Activity: Reading Sentiments
Classifying Arabic sentences manually, then comparing the result with AI
Activity
10:20 – 10:35
Activity: Does AI Lie?
Questions with hidden errors — predict, try it out, and record what happened
Activity
10:35 – 10:55
Prompt Engineering
CARE, GRAB, CREATE frameworks — and the interactive prompt builder
Lesson
10:55 – 11:05
Activity: Is this a good prompt?
8 different prompts — vote and discuss with the group
Activity
11:05 – 11:20
☕ Break
15 Minutes
Break
11:20 – 11:45
Responsible AI
The six principles, Deepfakes, digital governance in Qatar and the Gulf
Lesson
11:45 – 12:10
Activity: AI Court
3 real scenarios — identify the violated principles and deliver your verdict
Activity
12:10 – 12:25
AI for Everyone
Accessibility and disability, job impact, humanitarian work, inclusive Copilot
Lesson
12:25 – 12:45
Closing Activity
Impact map on my job / prompt bank / one word + a question
Activity
12:45 – 13:05
Optimizing and Extending Copilot 365
Art and science of prompting, the four pillars, best practices, and Microsoft Graph connectors and plugins
Lesson
13:05 – 13:15
Practice: Optimizing and Extending Copilot 365
A quick knowledge test about prompt practices and Copilot's external extensions
Practice

🎯 What will you know by the end of the day?

✓ The difference between Artificial Intelligence, Machine Learning, and Deep Learning
✓ How computers learn from data (labeled and unlabeled)
✓ How Large Language Models (LLMs) work and the meaning of GPT
✓ How to write an effective Prompt using the CARE, GRAB, and CREATE frameworks
✓ Ethical risks and the six principles of Responsible AI
✓ The specific impact of AI on your job and how to prepare

📖 How to Use This Guide

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Lesson Pages

Organized theoretical content with examples and simplified explanations — for presentation to the group

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Activity Pages

Activity instructions + printable materials + discussion questions

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Printing

Press Ctrl+P on any activity page to get a clean print version

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Navigation

Use the sidebar to navigate through lessons and activities in order

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Prepare for Tomorrow

Day 5 is a practical application on Microsoft Copilot 365. Think of a real task from your work that you would like to try on Copilot — you will need it tomorrow.