ESILV
AI, information theory, quantum information, Python and algorithmic complexity.
Understand deeply.
Build confidently.
I teach the foundations and practical engineering behind AI, software and telecommunications.
Browse learning resourcesOrsys
4G/LTE, 5G, machine learning and neural networks for professional audiences.
ESIEA
Electronics, robotics and microcontrollers. A foundation in teaching through practice.
OPEN THE NOTEBOOKLearn the concepts.
Learn the concepts.
Work through the details.
Public course materials, practical projects and training outlines across my wider teaching portfolio.
05 courses All disciplines
Master-level & professional
MLOps engineering
Build the practices around the model: reproducibility, tracking, packaging and deployment.
Explore course
Resources progress from introductory workflows to master-level material and a reusable Python project starter.
MLOps courseIntroduction to MLOpsStarter kitArchitecture & practice
Generative AI
Understand GenAI infrastructure, application architectures and deployment decisions.
Explore course
Course materials connect architecture with practical engineering and AI-assisted developer workflows.
GenAI architecturesDeveloper productivityMaster-level projects
Data science & machine learning
Connect data preparation, modelling and interpretation through applied projects.
Explore course
Public project subjects support practical learning and technical reasoning for master-level students.
Course projectsEngineering workflows
Python for DevOps
Write maintainable code, build useful tools and understand the development workflow.
Explore course
Python materials dedicated to engineering and DevOps practice, including project structure and automation.
Python courseProfessional training
4G, 5G & IoT
Understand the architecture and evolution of wireless networks.
Explore course
Course outlines cover 4G/LTE, 5G and IoT, informed by a research background in digital communications and 6G-related methods.
4G / LTE outline5G outlineIoT outlineStart with the why.
Make room for the how.
Connect the mathematical foundations to real engineering decisions. Work through examples. Question the assumptions. Leave with concepts and practices you can use.
Discuss a tailored workshop