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Source PDF
Step 3 of 4Neural Networks
How does a neural network “learn”?
Quick check
What adjusts the weights during training?
The problem
Why PDFs fail you
Reading a PDF feels productive. But without structure, recall, or feedback, almost nothing sticks.
No active recall.
Reading isn't learning. Without quizzes and practice, retention collapses within days.
No transformation.
Converters exist (PDF→text, PDF→slides) but they change the format, not the pedagogy.
Brilliant proved interactive lessons plus immediate practice make hard topics stick. Until now, that never applied to your own PDFs.
How it works
From PDF to interactive course in 3 steps
No prompt engineering, no setup. Upload once and let the AI do the heavy lifting.
Step 1
Upload your PDF
A chapter, paper, slide deck, or internal doc. Takes seconds.
Step 2
AI builds your course
Get interactive lessons and quizzes generated from the actual content, automatically.
Step 3
Learn step by step
Work through bite-size steps, answer questions, get instant feedback, and watch your progress grow.
Inside every course
Up to 12 lessons, each built from your own document
PDFs up to 50 MB with selectable text (no OCR). Log in with Google or an email code. Light and dark mode.
Glossary of terms & abbreviations
Definitions pulled from your document, linked inline as you read.
Diagrams where they help
Flowcharts and sequence diagrams for processes, protocols and pipelines.
Formulas rendered properly
LaTeX math for technical and quantitative material.
Grounded on the pages you pick
Generate from the whole document or a specific page range.
Six question types
Multiple choice, multi-select, true/false, short answer, matching and ordering — 5 to 250 questions.
Read-aloud, points & streaks
Listen to steps, earn points and badges, and keep a daily streak.
Features
Everything you need to actually finish the PDF
Built around active learning — not just a prettier way to read.
Interactive step-based lessons
Content broken into small steps, one idea at a time, instead of a wall of text.
3 / 5
AI-generated quizzes
Knowledge checks built from your own document, with instant feedback on every answer.
Backpropagation
Random guessing
Learn your own content
Not a fixed library: upload any PDF, from textbooks to onboarding docs.
textbook.pdfpaper.pdfslides.pdfonboarding.pdf
Progress tracking
See what you've completed and where you left off, so you always know your next step.
Chapter 768%
Credits that go far
Credits are a transparent AI budget: usage depends on the model and tokens, while Pro credits renew monthly.
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credits left this monthPrivate & secure
Your documents are stored securely and only accessible to you.
Private to you
Only you can access
See it working
This is a real lesson, generated from a real PDF
Read it, answer the questions, check the glossary. Then make one from your own document.
chapter_7_deep_learning.pdf
42 pages · Machine Learning · 2 lessons planned
What is a Neural Network?
The building blocks: neurons, weights, and layers.
Step 1 of 40%
Concept
A neural network is built from simple units called neurons. Each neuron takes several inputs, multiplies each by a weight, sums them up, and passes the result through an .
Think of it like a tiny decision-maker: the weights determine how much each input matters, and the decides whether the neuron 'fires'.
Work through the steps — nothing is saved
Glossary from your document (3)
- Perceptron — The simplest neural unit: a weighted sum passed through an activation function.
The simplest neural unit: a weighted sum passed through an activation function.
- Backpropagation — Algorithm that computes gradients of the loss w.r.t. each weight by working backwards from the output.
Algorithm that computes gradients of the loss w.r.t. each weight by working backwards from the output.
- Activation function — A non-linear function (e.g. ReLU, sigmoid) applied to a neuron's output.
A non-linear function (e.g. ReLU, sigmoid) applied to a neuron's output.
Make one from your own PDF
Drop your PDF above — log in or register, then we generate the course.
Quizzes, three ways
Practice where it actually helps
Not one quiz bolted on at the end — checks while you read, a quiz per lesson, and a generator for full practice exams.
While you read
Checks inside the lesson
Every few steps the lesson stops and asks one question about what you just read. Get it wrong and the step explains why before you move on — no separate quiz page, no losing your place.
Per lesson
A quiz at the end of each lesson
Each lesson closes with a mixed quiz over everything it covered: a hint on every question and an explanation for every option, so a wrong answer teaches something.
Whole document
A standalone quiz generator
Turn any upload into a practice exam: 5 to 250 questions across six types — multiple choice, multi-select, true/false, short answer, matching and ordering. Pick the pages, pick the count.
Your call
Pick how hard it should be
Choose a knowledge level before generating. Beginner keeps things simple on the fast model; Advanced and Expert switch to stronger models for deeper, more nuanced lessons.
Why not the usual tools
A reader stores your PDF. A chatbot answers questions. Neither teaches it.
PDF Course is the piece that turns the document into something you work through.
| Capability | PDF readers | Chat with your PDF | Course platforms | PDF Course |
|---|---|---|---|---|
| Works on your own PDF | ||||
| Step-by-step lessons | ||||
| Quizzes from that document | ||||
| Definitions & diagrams inline | ||||
| Ready in minutes |
Where it pays off
Four moments you'll be glad you had this
Same tool, different Tuesdays.
Two days before the exam
- You have
- A 38-page chapter + last year's past paper
- You get
- 12 lessons with checks throughout, a quiz per lesson, and a 60-question mock exam.
Ready in minutes, not an evening of highlighting
The paper you keep meaning to read
- You have
- A 60-page research paper
- You get
- The argument broken into steps, the jargon defined inline, and questions that force you to recall it.
Actually finish it instead of bookmarking it
A new hire's first week
- You have
- Onboarding handbook + internal spec
- You get
- A refresher course they can work through at their own pace, with progress you can see.
Same answers every time, no meeting required
Preparing to teach it
- You have
- Your own slides and notes
- You get
- A course you can work through yourself before the session — reuse it every term.
One upload, every cohort
Pricing
Start free. Upgrade when you're hooked.
Every plan includes interactive lessons and AI quizzes. Pick the credit allowance that fits how much you learn.
Free
$0/forever
Try one complete generation with a one-time starter allowance. No recurring credits.
- One-time starter credit allowance
- AI course, lesson & quiz generation
- 50 credits to get started (does not renew)
- Progress tracking
Pro
/month
Billed monthly. Or $54/year — save 10%.
For learners who generate and study courses every month.
- Everything in Free
- 150 AI credits every month (1 credit = $0.01 AI budget)
- Larger documents and longer courses
- Email support
Pro yearly
/year
Works out to about $4.50/month.
- Everything in Free
- 150 AI credits every month (1 credit = $0.01 AI budget)
- Larger documents and longer courses
- Email support
Credits are AI budget, not a per-generation fee: the amount a job uses depends on the model, the document and how much it generates. Unused credits are returned when the job finishes.
FAQ
Questions, answered
Everything you might want to know before uploading your first PDF. Still stuck? We're happy to help.
Contact usTextbooks, papers, slide decks, internal docs — anything with text content. As long as the PDF has selectable text (not just scanned images), PDF Course can turn it into lessons and quizzes.
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