First, let's understand AI.
Before learning clever prompts, you need to understand what AI actually does — and what it doesn't. No technical jargon. No maths. Just the essentials.
By the end, you'll know...
What AI actually is
AI, Generative AI and LLMs — without confusing vocabulary.
Where AI shines
Discover which tasks AI can genuinely help you complete faster.
When to verify
Learn when trusting an AI response without checking it can cause problems.
So... what actually is AI?
AI isn't one magical robot. It's a broad family of computer systems designed to perform tasks associated with aspects of human intelligence.
Think of it like an umbrella ☂️
Artificial Intelligence
The big umbrella. Systems designed to perform tasks associated with intelligent behaviour.
Machine Learning
Systems that learn patterns from data instead of relying only on fixed rules.
Generative AI
AI designed to generate new content: text, images, audio, code and more.
Meet Generative AI.
Traditional software follows programmed rules. Generative AI can produce new content in response to what you ask it to do.
Three words you need to know.
MODEL
The underlying AI system that processes your input and generates an output.
PROMPT
Your instruction, question or information given to the AI.
OUTPUT
The response the AI generates from your prompt and context.
You type:
“Explain inflation like I'm 15.”
What is that sentence?
How does an LLM answer you?
You don't need a computer science degree. At a simplified level, an LLM generates language by predicting likely sequences of tokens using patterns learned during training and the context you provide.
What's a token?
A token is a small unit of text processed by the model. Depending on the language and sentence, it may represent a whole word, part of a word, punctuation or another textual unit.
AI has superpowers. It also has weaknesses.
Smart AI users don't use AI for everything. They know which tasks AI is good at — and when they need to take control.
🟢 Great uses for AI
- Brainstorming ideas
- Explaining concepts
- Structuring information
- Creating first drafts
- Summarising your documents
- Creating practice questions
⚠ Think twice when...
- Accuracy is critical
- Information changes frequently
- You need academic references
- Important calculations are involved
- Information is confidential
- The stakes are high
You need the official tuition fee for a Master's programme in 2026. What's the smartest move?
Don't trust everything AI tells you.
AI can generate incorrect or invented information while presenting it in convincing language. This is often called an AI hallucination.
Wrong dates
AI may confidently provide an incorrect date or outdated information.
Fake references
Academic papers, books or citations can be fabricated.
Invented statistics
Numbers can look credible without having a real source.
AI gives you three academic references for an essay. What should you do?
Quick flashcards.
Six cards. Flip every card before moving on. Try answering in your head before revealing the answer.
The Basics.
Everything from Module 1 worth remembering — on one simple sheet.
Ready to prove it?
Seven questions. Score at least 80% to complete Module 1 and unlock Prompt Engineering.
🎯 Module 01 Quiz
Choose the best answer. Every question must be answered.