You probably landed on this article because you’ve exhausted all of the “starter” tutorials and projects with the Raspberry Pi. Now, you’re on a mission to boost your Raspberry Pi skills, and you’re probably searching for the best advanced Raspberry Pi courses to take.
Once you have a mastery of the basics, the Raspberry Pi, is low-cost, and a very powerful platform to create sophisticated IoT devices and robotic prototypes.
In this article, we’re going to explore 7 advanced Raspberry Pi courses so that you can take your beginner skills to the next level.[amazon box=”B07XPHWPRB”]
1. Interfacing with the Raspberry Pi (Coursera)
The Interfacing with Raspberry Pi course through Coursera will teach you how to work with various input/output devices based on protocols such as HDMI, USB, and Ethernet to communicate with the outside world.
You’ll also work with sensors, motors, GPS, and LCD screens to build an IoT device that interacts with the world.
If you’re looking for a course that covers a variety of mechatronic topics using the Raspberry Pi, then this is a course you’ll want to check out.
I was pleasantly surprised that this course covers everything from creating Python Clients and Servers, working with APIs and SDKs, and integrating complex sensors and actuators into electro-mechanical projects.
This course is number 5 of 6 in the Introduction to Programming the Internet of Things (IoT) Specialization and takes roughly 13 hours to complete.
You can sign up for the Interfacing with Raspberry Pi Course as a separate course, through the IoT Specialization, or using Coursera Plus.
2. The Raspberry Pi Platform and Python Programming for the Raspberry Pi (Coursera)
The Raspberry Pi Platform and Python Programming for the Raspberry Pi course is offered on Coursera through the UCI Division of Continuing Education.
If it’s been a little while since you’ve explored the basics of the Raspberry Pi, this course provides a quick refresher in the first module.
But, don’t think that this course is just for beginners. You’ll gain the skills to work with popular Raspberry Pi libraries, such as the RPi.GPIO library, which provides Python functions for the GPIO pins.
Additionally, you’ll work with the Tkinter Python library and create custom Graphic User Interfaces (GUIs) to control various devices connected to the Pi.
3. IoT Networking and Fog Layer Devices (edX)
This course will teach you about specific IoT networking protocols and Fog devices using the Raspberry Pi, Python, and C#.
The course is part of the IoT: from hardware to practice Professional Certificate offered through ITMOx.
The course requires an understanding of GPIO, digital signal processing, and embedded system protocols including SPI, I2C, and OneWire.
By the end of this course, you’ll have greater knowledge about the many areas of IoT including MQTT, IoT network topologies, and how the Raspberry Pi can be used as a Fog computing device.
Additionally, you’ll be able to program and interface sensors and actuators to the GPIO pins on the Raspberry Pi using both Raspbian OS and Microsoft Visual Studio for Raspberry Pi using Windows 10 Core IoT OS.
If you’re the kind of person who’s fascinated by the growing world of IoT and want a complex, challenging course covering best-practices in the industry, then you’ll want to sign up for this course.
Sign up for IoT Networking and Fog Layer Devices on edX, and start improving your IoT Networking skills for the Raspberry Pi.
4. Design and Prototype Embedded Computer Systems (Future Learn)
The fourth recommended advanced Raspberry Pi course, Design and Prototype Embedded Computer Systems is offered through Future Learn.
This course is supported by Google, and you’ll learn about embedded system design and work your way through the product design lifecycle.
Additionally, you can expect to learn what makes an embedded system different from a general-purpose system and experience what it’s like to iterate through the design process.
If you have an idea or technical device you want to make, then this course will show you the methodology for turning that idea into a functional prototype.
Gain access to the Design and Prototype Embedded Computer Systems through Future Learn.
5. Humanoid Robotics using Raspberry Pi (Udemy)
In this course, you’ll learn how to design and build a humanoid robot using the Raspberry Pi and control it remotely.
The Humanoid Robotics course will walk you through how to code servo motors using Python. You’ll also learn how to execute code on the robot wirelessly through SSH.
You’ll start by working with hardware and design the humanoid’s legs using four servo motors and the GPIO pins on the Raspberry pi. Then, you’ll move to design the upper body and head.
Next, you’ll walk through coding, obstacle detection, and realtime control using a webcam.
By the end of this course, you’ll have a fully-functional humanoid robot that you can expand upon by writing code for custom features.
Try the Humanoid Robotics using the Raspberry Pi course on Udemy.
6. Build your own ArmBot with Raspberry Pi Zero (Udemy)
Course not found.
In this course, you’ll learn how to build an ArmBot using the Raspberry Pi Zero.
This course requires a basic knowledge of mechanical engineering, familiarity with the Raspberry Pi and Python programming, and some skills working with IoT.
To begin, you’ll create the ArmBot’s mobile platform and work with the L293D motor controller.
Then, you’ll build and program the arm using Tkinter, a Python GUI interface. Finally, you’ll complete the ArmBot projects and run realtime tests to verify that everything works as expected.
If you’re interested in building this project, then you’ll want to check out the ArmBot course using the Raspberry Pi Zero on Udemy.[amazon box=”B0787BXR3P” template=”list”]
7. IoT#4: IoT (Internet of Things) Automation with Raspberry Pi (Udemy)
Course not found.
Furthermore, if robots aren’t your thing, and you want to master the Raspberry Pi for IoT projects, then you’ll want to check out the IoT Automation course on Udemy.
This course will show you how to set up, configure, and learn about intermediate and advanced IoT Networking techniques for the Raspberry Pi.
Topics in this course include Remote Logging, writing Bitwise and Logical programs, Selection statements, PWM, GPIO control, and how to create a server to send emails.
This course has a bunch of useful concepts packed into over 11 hours of on-demand video lessons.
Try this IoT course for Raspberry Pi if you already have some basic knowledge of the Raspberry Pi. This course will fill in a variety of intermediate and advanced knowledge gaps to help you create your own IoT projects.
Take the IoT Automation with Raspberry Pi course on Udemy, today.
How to choose an Advanced Raspberry Pi course to take
One of the most frequent questions I receive is, “how to do I know what course to take next?”
And this makes sense because after you finish the beginner courses, there are a lot of paths to take for intermediate and advanced learning.[amazon box=”B07BGFH2K5″ template=”list”]
To figure out which advanced Raspberry Pi course to take, I recommend answering the following questions.
- What Raspberry Pi projects or topics interest you the most? (Robotics, IoT, Web, Networking, etc.)
- Are you learning the Raspberry Pi for fun or to advance your career?
- What topics do you already know well?
- What skills need improvement?
- How much time do you have to spend in an online course?
- Does the course offer support or interaction with an instructor in case you get stuck?
- Will the course provide me a credential that you can use for a promotion?
- Does having a credential matter?
Then, once you have your answers, you can narrow down courses by topic and purpose.
Ask your Supervisor or Boss for Career Help
In my opinion, if you’re trying to get a promotion, having accreditation from a University Course on Coursera is more likely to get you a raise versus courses taught by random individuals on Udemy.
You can also talk with your supervisor about which courses might be good career development options.
You can also apply to join my Robotics Career Blueprint program to consult directly with me and my team of expert robotics mentors to help you advance your engineering career to the $100k-$200k level, working in Robotics. Click here to learn more about how we work with clients.
Which of these Advanced Raspberry Pi course are you going to take? Leave a comment below!
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