Summer 2025 Archive:
Pixels to Prompts
A comprehensive deep dive into Computer Vision and NLP fundamentals. From the raw mechanics of pixel grids to the sophisticated neural logic of large language models.
12h
of Labs
6h
of Non-Code Workshops
2h
of Theory
2-Week Academic Roadmap
Week 01
Computer Vision (Pixels)
Exploring the world of computer vision from pixel grids to CNNs. Students built an image classifier, a GAN, and a visual similarity engine.
Week 02
NLP & Neural Logic (Prompts)
From tokenisation and word embeddings to building a RAG-powered chatbot. Students learned to guide models with precision.
Program Outcomes
Reflections
Accessible Engineering
Non-programming students successfully used starter code to manipulate outcomes of comprehensive Python Colab notebooks.
Mastering Complexity
Through powerful analogies, students easily grasped foundational yet complex concepts like tokenisation, embeddings, and attention mechanisms.
Deep Curiosity
Students showed immense enthusiasm for understanding the black box—asking 'how does it know what it sees?' and 'how does it learn?'
Critical Ethics
In open discussions, students concluded that 'AI is biased and makes mistakes, so we shouldn't just copy and paste'.
Student Voices
"It’s good to learn the basics of something that is getting into our lives more and more each day. Understanding prompting makes you realize a lot about AI."
Stylianos Mylonas
Student
"The use of Google Colab and different AI tools was what I enjoyed most. Learning how AI works behind the scenes through hands-on exercises was incredibly valuable."
Giorgos Georgiou
Student
"The friendly atmosphere really stood out. The parts about transformers, the training of models, and the way neurons work were the most valuable concepts I learned."
Orestis Vorkas
Student
"This experience has been so useful for me to understand AI in depth. The most valuable realization was that we are the ones who train AI—it will not conquer the world!"
Stefanos Lazarou
Student
Continuous Improvement
Evolving for Summer 2026
What Clicked
- 1
The Black Box Revealed
Students loved deeply unpacking transformers, tokenization, and neural calculations rather than staying surface-level.
- 2
Hands-on Engineering
Actively using Google Colab and the Gemini APIs directly empowered non-programmers to manipulate AI outcomes natively.
- 3
A Welcoming Environment
A friendly, engaging atmosphere with analogies that made complex concepts highly accessible to all skill levels.
What's Next
Intensive NLP Focus
Focusing singularly on NLP to stretch our explanations and deeply connect the concepts across Week 1 and Week 2.
Deeper Architectural Dives
Expanding mathematical breakdowns of neuron calculations and post-cutoff knowledge retrieval methods.
Future Trajectory
Enhanced focus on how AI is realistically reshaping industries and providing step-by-step frameworks for building production-ready architectures.
Summer 2026 Programs
The Next Generation
AI Architect
Deep LLM architecture, RAG systems, and autonomous AI agents.
- Google Colab + Python
- Google Cloud APIs
AI Power User
Prompt engineering, generative workflows, and academic leverage.
- No-code tools
- Fact-checking protocols
Join the Waitlist
Be the first to hear about Summer 2026 registration.