This is how we actually teach.
Not slides. Not videos. Real data, real tools, real Python — guided by a scenario-based mentor.
Alex
Morning! I've uploaded the student performance data. Let's find what drives success. First, load the dataset and preview it.
✓ doneYou
df = pd.read_csv('student_success.csv') ✓
✓ doneAlex
Perfect. Run a quick .describe() on final_grade before we visualize.
✓ doneYou
df['final_grade'].describe() ✓
✓ doneAlex
Now visualize! Pick a chart type in the tools panel and add it to the notebook.
import pandas as pd
df = pd.read_csv("student_success.csv")
df.head()8 rows × 5 columns
| name | study_h | sleep_h | sport | grade |
|---|---|---|---|---|
| Emma | 8 | 7 | Yes | 92 |
| Liam | 3 | 5 | No | 61 |
| Sofia | 6 | 8 | Yes | 84 |
| Noah | 7 | 6 | Yes | 88 |
| Aiko | 2 | 9 | No | 55 |
… and 3 more rows
df['final_grade'].describe()
Who is Spitha for?
Whether you're a student, a parent, or an institution — select your path below.
Follow a structured AI path. Build a real portfolio.
From AI Literacy to Enterprise AI in 5 stages — work at your own pace online, or join one of our intensive summer camps in Cyprus.
2026 Summer AI Experiences
Two paths, one goal: empowering you for the future.
AI Architect Bootcamp
Build neural networks from scratch, fine-tune transformer models on Google Colab, and deploy autonomous AI agents. The blueprint for future AI engineers.
- Neural Networks from scratch in Python
- Training Transformers & Seq-to-Seq
- Deploying Guardrailed AI Agents
AI Power User
Master advanced prompt engineering, automate research with NotebookLM, and build professional micro-sites. A complete toolkit for the digital age.
- Automate Workflows with NotebookLM
- Build Micro-sites & Portfolios
- Agentic Prompting & Safety
Pixels to Prompts — What they achieved
Ages 14–15. From decision trees and perceptrons to full neural networks and transformers. Over 20 hours, students built real AI pipelines—tackling image segmentation, implementing embeddings, and building safe applications using GPT-3.5 APIs with rigorous guarding and system prompts.
What Students Say
Real, unedited feedback from our past workshops and cohorts.
Your Path to Mastering AI
A structured, multi-stage curriculum designed to transform students from curious beginners to confident builders. Progress at your own pace.
AI Literacy & Logic
10 weeks
Formal logic, critical analysis, and demystifying the black box.
View Syllabus →Data Science & Analytics
11 weeks
Data pipelines, Pandas, visualisation, and statistical thinking.
View Syllabus →Applied Machine Learning
11 weeks
Regression, classification, and real-world predictive modelling.
View Syllabus →Deep Learning Foundations
16 weeks
Neural networks, CNNs, and Transformer architectures.
View Syllabus →Enterprise AI & Safety
16 weeks
Agentic frameworks, jailbreak testing, and real-world deployment.
View Syllabus →GC School Curriculum
Optimized for 2026/2027 graduates. A specialized three-year honors track integrating AI foundations with academic excellence.
Explore GC School programs for 2026/2027 →Self-Paced Explorer
Want the full interactive roadmap?
Explore our detailed motherboard architecture and choose your own adventure.
Launch Full Learning PathA Curriculum Built for the Digital Curator.
We move beyond passive consumption. Experience an active laboratory environment where theory meets immediate implementation.
From theory to Living Project
Students don't just study neural networks; they build, train, and optimize them in a high-fidelity environment that mirrors professional research labs. Watch your model learn in real-time.
Explore the ML Curriculum
Bringing AI education to your school or institution?
- Curriculum-aligned AI programmes for secondary students aged 14–18
- Group pricing and school-cohort booking available for 5+ students
- Curriculum designed to build essential AI digital literacy
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Discover workshops designed to help you guide your child in the AI era.
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