Choose your next small win.
Each lesson ends with a brief practice with tangible results.
Lessons
- Spot phishing.
What phishing is, how its scam is built, its myths, and a 5-question model to decide on any suspicious message.
- Understand what an API is.
What an API is and how to read a request, an endpoint, and a JSON response.
- Understand compound interest.
What compound interest is and how to calculate how much it grows or how much you owe over time.
- Calculate percentages without getting tripped up.
What a percentage is, how to calculate it in your head, and how to avoid its usual traps.
- Think in conditionals if it's yes, it's yes; if not, it's no.
What a condition is, how to choose between two branches, and why = doesn't compare like ==
- Talk to AI without the fluff.
How an AI assistant works, what to do so it answers well, and when to distrust what it says.
- Train the classifier with examples, not rules.
How machine learning works, what you teach it with examples and signals, and why labels are everything.
- Read the algorithms already obeying you.
What an algorithm really is, how it runs step by step, and why precision is everything.
- Forge keys no list can open.
What truly makes a password strong, how attackers crack them, and how to armor your accounts with a manager and 2FA.
- Learn what Git is the time machine for your files.
What Git really is, how it seals photos of your project, and why you never lose work again.
- Spot the signs of the scam, one by one.
Which signals give away a phish, how much each one weighs, and how to combine them to decide without panic.
- Links are not what they seem.
How to take a URL apart piece by piece, read its real stop, and spot disguised domains, subdomain traps and opaque shorteners.
- Phishing plays with your head.
Which emotions phishing presses (urgency, fear, authority, reward…), how it stages its shows, and how naming them defuses everything.
- What to do when something looks off.
The safe-response protocol: verify through your own channel, report and isolate, and the exact steps to take if you already clicked.
- Give direction to what you want to ask.
How to write the AI what it needs to hear: what to do, what to know, and how to deliver — so it stops guessing.
- Coordinate several agents without losing command.
How to split a task among several AI agents, connect their deliverables and keep the final decision for yourself.
- What a theory is with no smoke attached.
Why 'theory' in science means the opposite of what it means on the street, and how to tell a theory from a hunch.