Mobile App Development
Students design app screens and build features that run on Android and iOS, finishing with their own working mobile app.
Age groups
Ages 15–18
The age when choosing a direction starts to matter. Teens work with the same tools used in real jobs — Python, SQL, Figma, Power BI, AI tools — and leave with projects they can show in a university application or a first interview.
8kids / group
10courses in this group
Intermediate → Advancedstarting level
Demo Dayevery semester
What your child learns
- Structured programming and code others can read
- The basics of AI and machine learning
- Data: SQL, Excel, pandas and dashboards
- Cyber security and protecting systems
- UI/UX design and clickable prototypes
How they progress, step by step
One semester in this age group — from the first class to Demo Day.
Choosing a direction
A conversation with the trainer about interests and plans after school, then one direction: AI, data, apps, security or design.
Foundations of that direction
The real tools of the field, learned the way they are used at work: Python and pandas, SQL, Figma, Power BI or security tooling.
The personal project
One project from idea to a working version, with the trainer as a mentor and with real deadlines.
Portfolio and presentation
The project is documented, published and presented — ready to attach to an application or a CV.
Courses in this age group
10 coursesThe courses that run inside this age group. Kids don't take them all at once: after the trial class we pick together which one they start with.
Artificial Intelligence Basics
A friendly introduction to AI: what it is, how machines learn from data, and small Python projects that spot patterns and make predictions.
Ethical Hacking Basics
Ethical hackers find security holes before attackers do. Students learn how systems are attacked and, more importantly, how to protect them — legally.
SQL and Databases
Most real data lives in databases. Students write SQL queries to search, filter, sort and join tables to find useful answers.
Data Analysis with Python
Students load and clean datasets, calculate summaries and find patterns with pandas, turning messy data into clear answers.
Data Visualization
Good charts make data obvious. Students choose the right chart type, design clean visuals and build dashboards that tell a story.
Power BI
Power BI turns data into interactive dashboards. Students connect sources, shape data and build reports with filters that update automatically.
Introduction to Data Science
A capstone project from question to prediction: students collect, clean and analyse data, then present their findings.
Adobe InDesign
InDesign lays out multi-page documents. Students build pages, flow text and place images to design brochures and small magazines.
UI/UX Design with Figma
UI/UX is about apps that are easy to use. In Figma students design screens and build clickable prototypes that feel like real apps.
Code. Create. Launch.
Try this group for free
A free trial class, in your child's own age group. They build something in the very first session, you see up close how it works.
Book the free classNo cost · No obligation · Groups of up to 8 kids
or give us a call: +355 69 4044490