It starts from what you know
Before it plans, Tessorio asks what you want and what you already know, and a short check skips what you have. The course starts where you're shaky.
Subjects · How AI works
Learn how AI works, from zero.
A plain-language, picture-first course on what's really happening inside an AI chatbot, with no math or coding. By the end you can explain how a language model learns and writes, why it sometimes makes things up, and how to use AI tools with sharp prompts and honest fact-checking.
The ready-made course · 7 units, 17 lessons
How AI Actually Works: From Neurons to ChatGPT
A plain-language, picture-first tour of what is really happening inside an AI chatbot, built from zero with no math or coding required. By the end you can explain how a language model learns and writes, say why it sometimes makes things up, and use AI tools with sharp prompts and honest fact-checking.
Unit 1Inside a Neural Network: Numbers In, Guess Out3 lessons
- 1.1One Neuron: Multiply, Add the Bias, Then ReLU
- 1.2Stacking Neurons into Layers: Which Numbers Are Given and Which Are Learned
- 1.3Guess, Measure the Error, Nudge the Weights
Unit 2Learning Language by Guessing the Next Word3 lessons
- 2.1From Sentence to Training Examples: Tokens and the Hidden Answer Key
- 2.2One Token at a Time: The Probability List and the Loop
- 2.3Temperature: Always the Safe Word, or Roll the Dice
Unit 3From Raw Model to Helpful Chatbot2 lessons
- 3.1Why a Raw Model Answers a Question With More Questions
- 3.2Thumbs Up, Thumbs Down, and the Hidden Instructions
Unit 4Peeking Inside: Attention and the Transformer3 lessons
- 4.1Why "It" Means the Suitcase: Attention Scores in Plain Words
- 4.2Every Word Looks at Every Word: Heads and Layers
- 4.3A 12,000-Token Report in an 8,000-Token Window
Unit 5Why It Makes Things Up and Gets Things Wrong2 lessons
- 5.1Confident Fiction: Invented Citations and Yesterday's Facts
- 5.2Fuzzy Questions, Skewed Data, and 12 Per Cent of 250
Unit 6Prompting Well and Checking the Answer3 lessons
- 6.1Four Things Every Weak Prompt Is Missing: Role, Context, Format, Examples
- 6.2Read the Output, Fix One Lever: Revising a Prompt That Didn't Work
- 6.3Check First, Then Decide: Trust, Verify Further, or Discard
Unit 7Your Own AI Task, Start to Finish1 lesson
- 7.1Run a Real Task and Keep a Working Log
How the course works
Learned, not just watched
Each idea is shown, then checked
Lessons are narrated, and the picture draws itself as each part is named. After each idea the lesson stops and asks you a question.
What you miss comes back
A wrong answer gets an explanation of why. Topics you keep missing become catch-up lessons.
A tutor beside every lesson
Pause and ask about what's on screen. A big question can become a lesson of its own.
Which plan
Questions
Asked often
Do I need math or coding?
No. Everything is shown in pictures and built up from zero. The course is written for adults and teens aged 14 and up.
Is it about using AI tools or understanding them?
Both. Most of the course explains how models work, from a single neuron to attention and the transformer. The last units turn that into practice: better prompts, and checking what comes back.
Why does AI make things up?
A language model writes by predicting likely next words, not by looking facts up. The course has a unit on exactly this: invented citations, out-of-date facts, fuzzy questions and skewed data.
Can I learn a different AI topic?
Yes. Name any AI topic, like machine learning for your job or AI in healthcare, and Tessorio plans a course on it from what you already know.
What does it cost?
The free courses in the Tessorio Library need no account and cost nothing. Plans are Self-learning $19.99 a month, Family $29.99, Teacher $19.99 and Course Creator $79. Paying yearly costs ten times the monthly price, so two months are free. Each plan includes the whole Library and a set number of new lesson minutes a month; watching and rewatching never use them.
Want to understand AI this way?
Start with a free account, and pick a plan when you're ready.