Learn the logic.
Build the future.
AI Automation Foundation is a practical introduction to the systems behind smarter digital work. Understand the concepts, train a real model, and run your first automation.
Three ways to learn by doing
Not just theory. Try it yourself.
Everything runs locally in your browser. Your notes and training examples stay on your device.
Start with the fundamentals.
Four short modules, real examples, and a quick knowledge check for each lesson.
Train the intelligence.
A genuine multinomial Naive Bayes classifier, trained in your browser on small, editable sample data.
Sentiment classifier
Improve the model
The model learns word patterns from labeled examples. Add your own example, retrain, and observe how predictions change.
Privacy-first demonstration. Training and prediction are performed locally with JavaScript. No text is uploaded to a server. Sample data is fictional.
From messy to meaningful.
Paste working notes, choose the pipeline steps, and run a practical text-processing automation.
Meeting notes or raw text
Automation results
Ready when you are.
Run the pipeline to extract action items, create an extractive summary, and inspect model sentiment.
What is automated? Action detection uses transparent patterns, summaries are extractive, and sentiment uses the local ML classifier. This is an educational workflow, not a connected email service or generative AI system.