Tailored learning tracks for your classes

The school space is planned after the beta. It will let you create classes, assign catalogue tracks with deadlines and follow progress per student and per group. Code exercises are run and graded automatically.

What is planned

  • Classes and groups

    Several managers and trainers per school

  • Student sign-up

    Sign-up link, CSV import, email invitation or allowed email domain

  • Assigned tracks

    Catalogue tracks, required or recommended, with deadlines

  • Availability dates

    Each course opened and closed on chosen dates, for the whole school or for one class

  • Tracking

    Progress per student and per class, time spent, blocking concepts, CSV and PDF export

  • Graded exercises

    Code run in the browser or in a sandbox, tests checked before display

  • Payment

    Bank transfer, SEPA mandate or purchase order, as well as card

  • Custom projects

    A request outside the catalogue can become a project request

Learner privacy

  • Managers see progress and results, never conversations with the tutor, unless the learner explicitly agrees.
  • Every record carries its organisation's identifier; organisations are isolated from each other.
  • The AI runs on our own server first. A request only goes to a cloud provider anonymised and capped.

Catalogue tracks

  • JavaScript web developer

    24 courses · 127 lessons · about 75 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. Accessibility and SEO
    12. Data Structures and Complexity
    13. TypeScript
    14. React
    15. SQL Fundamentals (SELECT, Filters, Aggregates)
    16. Intermediate SQL (joins, subqueries)
    17. Database Modeling
    18. HTTP and REST APIs
    19. Node.js Fundamentals
    20. API with Express
    21. Automated Testing
    22. Authentication and Web Security (OWASP)
    23. Full-Stack React + Node Application
    24. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • Back-end
    • Server-side JavaScript
  • Python web developer

    22 courses · 115 lessons · about 70 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. Python Fundamentals
    6. Intermediate Python (Functions, Modules, OOP)
    7. HTML Fundamentals
    8. CSS Fundamentals
    9. Responsive Layout (Flexbox, Grid)
    10. JavaScript Fundamentals
    11. DOM and Events
    12. Asynchronous JavaScript (Promises, fetch, APIs)
    13. SQL Fundamentals (SELECT, Filters, Aggregates)
    14. Intermediate SQL (joins, subqueries)
    15. Database Modeling
    16. HTTP and REST APIs
    17. APIs with FastAPI
    18. Django Fundamentals
    19. Automated Testing
    20. Authentication and Web Security (OWASP)
    21. Complete Application with Django
    22. Docker and Deployment
    • Foundations
    • Python
    • Front-end
    • SQL
    • Back-end
    • Python for the web
  • PHP web developer

    22 courses · 116 lessons · about 68 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. SQL Fundamentals (SELECT, Filters, Aggregates)
    12. Intermediate SQL (joins, subqueries)
    13. Database Modeling
    14. PHP Fundamentals
    15. Object-Oriented PHP and Composer
    16. PHP and Databases (PDO)
    17. HTTP and REST APIs
    18. Laravel Fundamentals
    19. Automated Testing
    20. Authentication and Web Security (OWASP)
    21. Advanced Laravel (API, Queues, Tests)
    22. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • PHP
    • Back-end
  • Java web developer

    23 courses · 121 lessons · about 70 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. Data Structures and Complexity
    6. HTML Fundamentals
    7. CSS Fundamentals
    8. Responsive Layout (Flexbox, Grid)
    9. JavaScript Fundamentals
    10. DOM and Events
    11. Asynchronous JavaScript (Promises, fetch, APIs)
    12. SQL Fundamentals (SELECT, Filters, Aggregates)
    13. Intermediate SQL (joins, subqueries)
    14. Database Modeling
    15. Java Fundamentals
    16. Object-Oriented Java
    17. Collections, Streams, and Exceptions
    18. Testing with JUnit
    19. HTTP and REST APIs
    20. Spring Boot: REST API
    21. Persistence with JPA and Hibernate
    22. Authentication and Web Security (OWASP)
    23. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • Java
    • Back-end
  • Data analyst

    17 courses · 87 lessons · about 47 h
    1. Programming Basics and Algorithms
    2. Coding with an AI Assistant (Prompts, Code Review)
    3. SQL Fundamentals (SELECT, Filters, Aggregates)
    4. Intermediate SQL (joins, subqueries)
    5. Descriptive Statistics
    6. Python Fundamentals
    7. Data Analysis with pandas and NumPy
    8. Data Cleaning and Preparation
    9. Visualization (Matplotlib, Seaborn, Plotly)
    10. Probability and Inferential Statistics
    11. Exploratory Data Analysis
    12. Business Metrics and KPIs
    13. Advanced SQL (CTEs, window functions)
    14. Data Storytelling and Presenting Results
    15. Automate with Python (Files, Excel, APIs)
    16. A/B Testing and Experimentation
    17. Simple ETL Pipelines
    • Foundations
    • SQL
    • Statistics
    • Python
    • Data analysis
  • Data scientist

    27 courses · 139 lessons · about 83 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. SQL Fundamentals (SELECT, Filters, Aggregates)
    6. Intermediate SQL (joins, subqueries)
    7. Advanced SQL (CTEs, window functions)
    8. Descriptive Statistics
    9. Probability and Inferential Statistics
    10. Python Fundamentals
    11. Intermediate Python (Functions, Modules, OOP)
    12. Data Analysis with pandas and NumPy
    13. Data Cleaning and Preparation
    14. Visualization (Matplotlib, Seaborn, Plotly)
    15. Exploratory Data Analysis
    16. Introduction to Machine Learning (scikit-learn)
    17. Supervised Learning: Regression and Classification
    18. Unsupervised Learning: Clustering and Dimensionality Reduction
    19. Model Evaluation and Validation
    20. Feature Engineering
    21. Time Series and Forecasting
    22. HTTP and REST APIs
    23. APIs with FastAPI
    24. Deep Learning with PyTorch
    25. Natural Language Processing (NLP) and LLMs
    26. Deploying a Model (API, MLOps Basics)
    27. Docker and Deployment
    • Foundations
    • SQL
    • Statistics
    • Python
    • Data analysis
    • Data science
    • Back-end
    • Python for the web

Questions

When does the schools and companies space open?

After the beta for individual learners. No date has been announced yet; the waiting list hears first.

Can we ask for a course that is not in the catalogue?

Yes. A request outside the catalogue is recorded with the missing skills and, for an organisation, can become a custom project request.

Is the training certified?

Not at this stage. No certification is claimed. Courses are being translated into English; those not yet translated are in French.

Get your classes ready

Join the waiting list and you will hear when the schools space opens. Joining commits you to nothing.