Course Link: Raspberry Pi Projects Specialization
Invent, Prototype, Create -- with Raspberry Pi. This specialization teaches multi‑discipline theory and practical skills required to build custom hardware and software projects using the Raspberry Pi. Designed for beginners — no prior experience needed.
Instructor: Drew Wilson Enrolled Learners: 5,212+ Rating: 4.9 (73 reviews) Duration: 16 weeks (3 hrs/week) Level: Beginner
- Build functional prototypes and custom hardware
- Configure and use Raspberry Pi as an embedded system
- Interface with sensors, motors, and peripheral devices
- Design PCBs, schematics, and 3D printed hardware
- Understand electronics, signal integrity, and communication protocols
- Perform data analysis, filtering, and sensor calibration
- Use free/open‑source tools for simulation, PCB design, and CAD
Throughout the specialization, learners build hands‑on projects using real hardware. All tools used are free and open‑source. By the end, you will design:
- Embedded software
- Electronics hardware
- Custom 3D CAD components
Duration: 13 hours
You will build a complete network‑connected Raspberry Pi project with motors and sensors, accessible from your smartphone. Topics include:
- Installing and configuring Raspberry Pi
- Network access and remote systems
- Programmatically controlling hardware
- Building simple web interfaces
- Optional modules for Python, Linux, and basic electronics
Skills Gained: Embedded Systems, APIs, Python Programming, Remote Access, System Configuration, IoT, Hardware Control, Web Applications
Duration: 12 hours
Focuses on communication protocols and high‑speed signal behavior.
- SPI, I2C, UART, and physical‑layer fundamentals
- Signal integrity, waveform distortion, and filtering
- Frequency‑domain analysis and troubleshooting
- Design rules for reliable high‑speed circuits
Skills Gained: Digital Communications, SPI, Signal Integrity, Simulation, Network Analysis, Electronic Systems
Duration: 8 hours
Core principles for integrating any type of sensor.
- Sensor calibration techniques
- Accuracy, precision, and measurement uncertainty
- Analog signal conditioning and noise reduction
- Data post‑processing using Python and NumPy
Skills Gained: Data Processing, Statistics, Systems of Measurement, Mathematical Modeling, Electronics, Real‑time Data
Duration: 10 hours
A deep dive into hardware creation:
- Circuit simulation with open‑source tools
- Schematic design and best practices
- PCB layout using KiCad
- 3D modeling of enclosures and mechanical components
Skills Gained: Schematic Design, CAD Modeling, PCB Layout, Technical Design, Open‑source EDA Tools
- "A great course... practical and theoretical, with solid quiz infrastructure." — Georg P (2024)
- "Overwhelming but excellent intro, excited for next courses." — Russell B (2023)
- "Gave me courage to buy my first Raspberry Pi." — Michael P (2023)
- "Highly in‑depth, recommended for electronics enthusiasts." — Shreya K (2023)
- "Great overview on how to get started with custom Raspberry Pi projects." — Andre L (2025)
- "Excellent specialization... each course dives deep into important aspects." — Russell B (2023)
- "Very clear explanations and great professor." — Vincenzo C (2024)
- "Excellent intro to theory and applications." — Kundan P (2024)
- "Perfect pace and content, tailored exactly to what I needed." — Subhajit G (2024)
- "Learned to design PCBs and cases using open‑source tools." — Francisco B (2024)
- "Highly recommended; very informative quizzes." — Waja D (2024)
- "One of the best technical courses I've taken." — John W (2024)
This specialization provides a shareable certificate, suitable for LinkedIn and professional portfolios.