Beginner · Overview
Learn AI Basics
A focused introduction to how modern AI works, what it can do and where to begin.
1 hour
Learn the foundations of artificial intelligence, and apply them to work smarter, solve real problems and achieve meaningful goals.
theory · code · application
Structured, self-paced learning. Buy once and return whenever you need.
Beginner · Overview
A focused introduction to how modern AI works, what it can do and where to begin.
1 hour
Beginner · Applied
Move beyond basic prompts into reliable workflows for research, writing and everyday work.
2.5 hours
Beginner · Applied
Build confident workflows for analysis, writing, long documents and knowledge work.
2.5 hours
Specialized application
All levels · Creative AI
Create cinematic AI videos through repeatable visual, prompting and production workflows.
3 hours
Specialized application
All levels · Creative AI
Create natural, high-quality AI images through structured prompting, visual direction and refinement.
3 hours
Intermediate · Coding
Use Codex to understand codebases, implement changes and develop software with AI.
3.5 hours
Intermediate · Coding
Plan, build and refine software projects through structured Claude Code workflows.
3.5 hours
Advanced · Systems
Design tool-using AI agents, structured workflows and reliable multi-step systems.
5 hours
Beginner–Intermediate · Foundations
Understand the ideas, language and methods behind modern artificial intelligence in depth.
6 hours
Foundational courses, practical tutorials and concise explainers—open to everyone.
Beginner · Foundations
Understand the core ideas behind modern AI, from machine learning and neural networks to generative systems.
1.5 hours
Ages 8–15 · Beginner
A friendly introduction to how AI learns, creates and solves problems—designed for curious young learners.
1 hour
Beginner · Practical
Use AI to research, write, organize knowledge and improve everyday workflows through short guided lessons.
2 hours
All levels · Reading
Concise articles that connect important AI ideas with practical examples, current methods and real-world use.
10–15 minute reads
PDFs, study packs, worksheets, prompt guides and practical notebooks.
PDF · Beginner
PDF · All levels
eBook · Intermediate
Notebook bundle · Beginner
Templates · All levels
Courses developed and delivered in academic settings.
Master's course
A six-credit MSc course connecting the theory of deep neural networks with implementation, experimentation and current artificial intelligence methods.
Application only · Very limited availability
A private learning engagement built around your background, objectives and pace—not a standard course delivered one-to-one.
We begin with a conversation about what you need to understand, build or prepare for. I then shape the curriculum, examples and working sessions around that specific outcome.
Starting from €499
Start a conversation Selective intake. Scope, schedule and pricing are defined around your goals.Modern tools change quickly. The principles behind them last.
Build an understanding of why a method works before relying on a framework or prompt.
Turn theory into code, experiments and useful systems through purposeful practice.
Use today's best tools while developing knowledge that remains useful when those tools change.
Live, focused learning for universities, organizations and professional audiences.
Learner feedback
Feedback from earlier university courses and private teaching.
“Bruno's Deep Network Developments course was incredibly well-structured. The hands-on exercises with real datasets made the theory come alive. Highly recommended for anyone serious about deep learning.”
Anonymous student
“The private tutoring sessions were exactly what I needed. Bruno adapted the content to my level and helped me build a solid foundation in AI. The project-based approach made learning engaging and practical.”
Anonymous student
“Great course covering modern deep learning topics. Bruno brings real research experience to the classroom which makes the content feel relevant and up to date. Would love more time on transformers.”
Anonymous student