
Learn to bring your MicroPython and CircuitPython code to life on the Raspberry Pi Pico, building hands-on projects from blinking an LED to sensors and UART.
Explore the Raspberry Pi Pico development kit and its Pico module with an adapter, compare with the NRF 52840 kit, and learn to solder the 1.77-inch lcd display.
Flash the latest MicroPython firmware on the Raspberry Pi Pico in bootloader mode, then set up the MicroPython extension in Visual Studio and blink an LED on GPIO 25.
Update the Raspberry Pi Pico's CircuitPython firmware by connecting to a PC, uploading the uf2 file, and blinking GPIO 25 with a simple Hello World program.
Learn to set up uart communication on the Raspberry Pi Pico with MicroPython by wiring y9 and y10 through a ttl converter, grounding setup, and configuring uart1 at 11200 baud.
Control the ADC on the Raspberry Pi Pico with MicroPython via GPIO 26 and a potentiometer. Display results on the OLED via I2C and convert 16-bit readings to voltage.
Handle hardware interrupts on the pico with MicroPython to toggle the LED on button press. Use a pull-up input, pin interrupts, and a global state for reliable on/off control.
Configure a hardware timer on the Raspberry Pi Pico with MicroPython to toggle an led every second, using a periodic or one-shot mode and a timeout callback.
Control led with switch on the Raspberry Pi Pico using MicroPython, setting pin 25 as output and pin 14 as input with a pull-up to turn led on when pressed.
Control an led with CircuitPython on the Pico using gpio 25 as output and gpio 14 as a pull-up input; pressing the button turns the led on.
Drive a piezo buzzer on the Raspberry Pi Pico with MicroPython using PWM on GPIO 22, configuring 16-bit duty cycle and frequencies like 201, 100, 800, and 1000.
Drive the piezo speaker on GPIO 22 with CircuitPython using PWM, adjusting frequencies from 200 to 1000 Hz and saving sequences to play back sounds.
Connect Raspberry Pi Pico to the adapter and control leds 1 to 3 with MicroPython. Map leds to pins 18, 19, and 20, blink high for 0.1 seconds, then low.
Explore MicroPython on the Raspberry Pi Pico by displaying text on the Ssd1306 OLED using software ITC communication, swapping SDA and SCL pins, and configuring an Ssd1306 Python module.
Control an ITC oled display with CircuitPython on the Raspberry Pi Pico, wiring 3.3V, ground, swapped SCL and SDA pins, and installing Adafruit SSD1306, FrameBuffer libraries, plus a font file.
Read ambient temperature with a Ds18b20 sensor using Micropython on Raspberry Pi Pico, wire to gpio 16 for one-wire communication, and display the Celsius readings on an OLED every second.
Learn to measure temperature and humidity with the DHT11 sensor using MicroPython on Raspberry Pi Pico, add the DHT library, and display readings on an OLED display and the console.
Learn to interface the Pixy2 vision sensor with a Raspberry Pi Pico by building the Pixy2 USB library and running the get blocks demo to recognize objects.
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.