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Certificate
Programming Python on the Raspberry Pi 5
Course Outline
The Programming Python on the Raspberry Pi 5 course introduces learners to Python programming within a powerful single-board computer environment. The course combines software development with hands-on hardware interaction, enabling students to build intelligent embedded and AI-powered systems.
Students will learn Python fundamentals, file handling, debugging, and the use of external libraries. They will interface with the Raspberry Pi’s GPIO pins to control LEDs, motors, sensors, and actuators. The course progresses to graphical user interface (GUI) development, machine vision applications using OpenCV, and the implementation of pre-trained deep learning models for object detection and recognition.
By the end of the course, learners will be able to design, build, and deploy complete Raspberry Pi-based projects integrating software, hardware, and AI components.
Key Information
- MQF/EQF Level: Not pegged/recognised by MFHEA
- ECTS: N/A
- Qualification/Certification Type: Certificate of Completion
- Course Duration: 20 weeks × 3 hrs/week
- Total Hours: 60 hours
- Delivery Mode: In-person (hands-on lab-based)
- Language of Instruction: English & Maltese
- Target Audience: 16+ years
Students must complete at least 85% of total learning hours (tracked via attendance logs, lab participation and assessment submissions). A Certificate of Completion will be issued accordingly.
Course Description
This unit introduces learners to programming with Python on the Raspberry Pi 5 platform, combining software development skills with hands-on hardware interaction. Students will learn to write, run, and debug Python programs, utilize built-in libraries, and interface with the Raspberry Pi’s GPIO (General Purpose Input/Output) pins to control and read from external components such as LEDs, buttons, sensors and actuators such as DC motors, stepper motors, servo motors, relays, etc. The unit covers both fundamental Python concepts and more advanced topics such as creating Graphical User Interfaces, Machine Vision with OpenCV and ultimately using Deep Learning pre-trained models for object detection and recognition.
Key Topics include:
- Setting up Raspberry Pi OS and Python environment
- Python syntax, data types, and control structures
- File handling and error management in Python
- Using external libraries (e.g. OpenCV)
- Interfacing with GPIO pins for input/output
- Working with sensors, actuators
- Creating Graphical User Interfaces
- Machine Vision Applications
- Building and deploying complete Raspberry Pi projects
Entry Requirements
- Basic computer literacy
- Basic understanding of programming concepts (variables, loops, conditions)
Recommended:
- Introductory Python knowledge
- Basic electronics knowledge (helpful but not mandatory)
Target Audience
This course is designed for:
- ICT students
- Embedded systems learners
- Robotics enthusiasts
- Electronics students
- Mechatronics students
- IoT developers
- Automation enthusiasts
- Hobbyists interested in AI and hardware projects
- Professionals transitioning into Python and AI-based hardware systems
Course Delivery
The programme is structured into seven modules, delivered through:
- Instructor-led demonstrations
- Guided coding workshops
- Hardware interfacing labs
- Machine vision experiments
- AI model implementation labs
- Capstone project development
Course Structure
- Module 1 – Raspberry Pi 5 Setup & Environment
- Module 2 – Python Programming Fundamentals
- Module 3 – GPIO Interfacing
- Module 4 – Sensors & Actuators
- Module 5 – Graphical User Interfaces
- Module 6 – Machine Vision with OpenCV
- Module 7 – Deep Learning & Object Detection
- Final Capstone Project / Final Assessment
Assessment & Certification
Assessment Breakdown:
- Practical Laboratory Assessments – 40%
- Mid-Term Theory & Programming Test – 20%
- Final Capstone Project – 30%
- Participation & Continuous Assessment – 10%
Upon successful completion, students receive a Certificate in Programming Python on the Raspberry Pi 5.
Learning Outcomes
By the end of this course, learners will be able to:
- Install and configure Raspberry Pi OS and Python environment.
- Write and debug Python programs.
- Use file handling and error management techniques.
- Interface GPIO pins to control and read external components.
- Implement sensor-based and actuator-driven systems.
- Develop simple graphical user interfaces.
- Implement machine vision applications using OpenCV.
- Deploy pre-trained deep learning models for object detection.
- Design and build a complete Raspberry Pi-based intelligent system.
Course Intake Dates & Pricing
April 2026
Price: EUR 900
Optional Add-ons (please contact us for pricing):
- Basic Raspberry Pi 5 Starter Kit
- Full Kit with Camera + Sensors + Motors
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