AI.Lab is a complete environment for learning and experimenting with AI in schools: generative AI, data analysis, interactive tasks and reports – it also works without an internet connection on the school’s side.
AI.Lab
AI in the classroom in 5 minutes. One platform, no subscriptions.
Why AI.Lab
Who is it for?
What does the teacher gain?
- Creates and publishes interactive tasks (quizzes, pairs, gaps, categories, identification in text/image, multimedia)
- Conducts face-to-face and remote lessons, sees progress in real time
- Receives class and student reports even in limited connection mode
- Receives ready-made data samples, exercise descriptions and simulations that can be used directly to achieve the objectives and content of the core curriculum (general and industry-specific)
- Has JupyterHub at hand for data science classes and ready-made AI packages (NLP, CV, speech)
What the student gains
- Works with generative AI (text, image, documents) and learns responsible use
- Implements data science projects in JupyterLab/Notebook on school equipment
- Operates without logging into external services and without creating private accounts
How it works
01
Start
Enable the AI.Lab workshop (server + students’ laptops)
02
Drive
Share materials, assign tasks, monitor performance
03
Report
Download class results and recommendations for further exercises
Offline mode: Materials and tasks are served from the local workshop server; after class, the teacher exports reports.
Key features
Tasks and assessment
Distribution in class and remotely, progress tracking, CSV/PDF reports
AI & data science environment
JupyterHub/JupyterLab, Orange Data Mining, ML.NET Model Builder, Python libraries (NLP, CV, anomaly detection, recommendations, ASR)
AI models and services
Centralised access configuration, usage control, accountability
Account management
Creating users/classes, resetting passwords, roles and permissions
Integrations
CSV import by template, API for user and report synchronisation
Accessibility
Materials compliant with WCAG 2.1 AA; instructions in PDF and editable formats
Publications
Permissions to publish materials in national repositories; video tutorials
Software compatibility
AI.Lab materials and functions are designed in such a way that they can be used directly by teachers to implement the core curriculum (general and vocational education).
Security and compliance
GDPR
Data minimisation, export of student data on request, log retention
Encryption
TLS in communication; separation of privileges and roles
Availability
Interfaces and materials compliant with WCAG 2.1 AA
AI service control
Limits, usage logs, central access configuration