Learn to Control Sensors, Displays, and Components with MicroPython & CircuitPython— from Setup to Advanced Interfaces
Whether you’re a hobbyist, student, or educator, this hands-on course will walk you through practical projects using the Raspberry Pi Pico. From simple LED blinking to interfacing with temperature sensors, OLED displays, and more, you’ll gain confidence in embedded systems programming using both MicroPython and CircuitPython.
What you’ll learn
- Set up and program the Raspberry Pi Pico using MicroPython and CircuitPython..
- Build hands-on projects with LEDs, buzzers, and OLED displays..
- Use hardware features like UART communication, ADC, interrupts, and timers..
- Design and troubleshoot real-world circuits for embedded systems and IoT applications..
Course Content
- Introduction & Setup –> 4 lectures • 17min.
- Core Concepts and Fundamentals –> 4 lectures • 16min.
- GPIO and Component Control –> 8 lectures • 26min.
- Working with Sensors –> 2 lectures • 11min.
- Advanced Interfaces –> 2 lectures • 11min.
Requirements
Whether you’re a hobbyist, student, or educator, this hands-on course will walk you through practical projects using the Raspberry Pi Pico. From simple LED blinking to interfacing with temperature sensors, OLED displays, and more, you’ll gain confidence in embedded systems programming using both MicroPython and CircuitPython.
We’ll start with the basics—setting up your development environment and understanding the Raspberry Pi Pico board. Then we dive into hardware control, GPIO, sensors, UART, ADC, and real-world device interfacing, including the Pixy2 vision sensor. Each project is a building block, reinforcing coding fundamentals and hardware principles.
You’ll get step-by-step video tutorials, real code examples, debugging tips, and reading materials to extend your knowledge. By the end of this course, you’ll be equipped to create your own embedded projects and prototypes confidently.
What You Will Learn
- Set up and configure Raspberry Pi Pico with MicroPython and CircuitPython
- Control GPIO (LEDs, switches, buzzers) through practical examples
- Read data from temperature sensors like DS18X20 and DHT11
- Display text and graphics on OLED displays
- Use ADC and UART for real-world interfacing
- Understand and implement hardware interrupts and timers
- Integrate vision systems using the Pixy2 sensor
- Write clean, maintainable embedded Python code
Who Is This Course For
- Beginners looking to learn physical computing with a Raspberry Pi Pico
- Students and educators exploring project-based learning in electronics
- Makers and tinkerers wanting to build smart devices or prototypes
- Python programmers who want to branch into embedded systems
- Anyone curious about IoT, automation, and sensor-based applications
Requirements
- Raspberry Pi Pico board
- USB micro cable
- Basic electronic components: LEDs, resistors, switches, buzzers, DHT11/DS18X20 sensors, OLED display
- Windows/macOS/Linux PC
- Internet access to install Thonny IDE and libraries
- Enthusiasm to build cool stuff with Python and hardware!
What Learners Are Saying
“This course helped me go from zero to confidently building sensor-based circuits in a weekend. The instructor explains each part so clearly!”
— Ahmed R., Electrical Engineering Student
“I loved how MicroPython and CircuitPython were covered side by side. It helped me choose the right tool for each project.”
— Claire D., Maker & STEM Tutor
“Clear lessons, solid project flow, and I finally understood UART and ADC after trying for months. Highly recommend!”
— Raj K., Robotics Club Mentor
Instructor Bio
With over 10 years of experience in embedded systems, IoT, and educational robotics, your instructor has taught thousands of students how to work with microcontrollers. With a strong background in both hardware and Python-based firmware, their approach ensures both clarity and technical accuracy—bridging theory and practice effectively.
FAQ
Who can benefit from this course?
Anyone interested in electronics, from beginners to those with some experience in Python or microcontrollers.
Do I need prior coding experience?
Basic Python helps, but everything is explained step by step.
Is there a refund policy?
Yes, there’s a 30-day no-questions-asked refund.
What software or tools do I need?
Raspberry Pi Pico board, USB cable, basic components like LEDs, buzzers, sensors, and Thonny IDE.
Will I be able to interact with the instructor or community?
Yes! Q&A sections and discussion groups are provided for peer and instructor support.