Code that interacts with the physical world
Move from safe Raspberry Pi setup to a tested sensor-and-control project.
- Raspberry Pi setup, Linux and GPIO safety25 min
- Python sensors, actuators and project evidence25 min
Physical computing
Build useful, low-cost physical-computing projects with Raspberry Pi, Python, GPIO, sensors and actuators.
Course outline: enrolment opens after THNF content and assessment review.
What you will be able to do
Course structure
Move from safe Raspberry Pi setup to a tested sensor-and-control project.
Approved teaching sources
Selected projects and educator materials will support supervised physical-computing practice, with local adaptations and offline packs where licensing permits.
View original resource ↗THNF records the original source, licence and changes. Adaptations never imply endorsement by the original provider.
Access and progression
The required capability matters; the learner does not have to personally own every device.
Aspiring developers, technical learners, career changers and practitioners seeking applied computing skills.
Personal 64-bit computer with 4 GB RAM and 20 GB free, or use the required device and software at a readiness-approved THNF centre.
A readiness-approved THNF centre provides the supervised Raspberry Pi/compatible kit, breadboard and safe low-voltage components.
Junior development, data, web, application-support or technical-project progression appropriate to the completed portfolio.
Progression is not a guarantee of employment or external certification.Mobile-first, low-data solutions for Sierra Leonean schools, traders, transport, agriculture, NGOs and SMEs using synthetic local names, districts and NLe values.
Skills in context
These are realistic directions that the skills can support—not promises of employment, job titles or external certification.
Computer science and technology education