Software Engineering
From programming foundations to designing maintainable, production-ready applications.
- Application architecture
- Backend development
- Software quality
Academic Space
Learn computer science through clear and practical resources
A public learning space where I share course notes, practical work and explained corrections for students in software, data and AI.
Structured
Clear objectives and progressive learning paths
Practical
Examples and exercises connected to real engineering
Accessible
Public resources designed for independent study
Learning areas
Built around modern engineering skills
The courses connect academic fundamentals with the practices students encounter in real software projects.
Data & AI
Clear foundations and practical methods for working with data and intelligent systems.
- Data engineering
- Machine learning
- Applied AI
Engineering Practice
The tools and habits that connect academic knowledge with professional delivery.
- Git workflows
- Docker and DevOps
- Technical projects
Resource library
One topic, one complete learning path
Each course combines the theory, the practical assignment and its correction in one coherent structure.
01
Course Notes
Structured explanations, learning objectives and essential concepts.
02
Practical Work
Guided exercises designed to turn concepts into working solutions.
03
Corrections
Explained solutions that focus on reasoning, decisions and common mistakes.
Extra learning sessions, built around your needs
I offer individual and small-group sessions to revisit difficult concepts, work through exercises and discuss your programming and software projects. Bring an Academy lesson, a course from elsewhere or your own project. We focus on understanding the problem, clarifying business rules and reasoning through choices before coding.