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This content is taken from the Raspberry Pi Foundation & National Centre for Computing Education's online course, Teaching Physical Computing with Raspberry Pi and Python. Join the course to learn more.

Next steps


You’ve now reached the end of our four-week Physical Computing with Raspberry Pi course.

Over the past few weeks, you’ve worked through an introduction to the world of physical computing and digital making. We hope that you will join our growing community of enthusiastic educators around the world bringing engaging and challenging learning experiences to your students.

Where next?

Learning something new is only the first step. Like learning any new skill, the important steps now are to continue to share, practise, and learn more. There are many ways to do this but we have a few suggestions below.


Sharing is a great way to challenge your own understanding of what you’ve learnt, spread that knowledge and engage others. Throughout the course we’ve endeavored to model how we think sharing is beneficial when learning, and we hope you continue to share your successes and failures.

  • Share your learning with your colleagues and encourage them to get started with physical computing.
  • Continue to connect with our educator community through Twitter using the training hashtag #RPiLearn

  • Find, or even start, a local educator meetup or Raspberry Jam to share ideas or collaborate on your digital making projects.


Like most new skills, the things you’ve learnt through this course will need practice to stay fresh and develop further. There are some great ways to continue practising your newly acquired physical computing skills:

Learn more

As we’ve said before, this is the start of your journey into the world of physical computing and your learning shouldn’t stop here. There are a number of ways you can continue to learn:

  • Take part in one of our other online training courses - find out more here.
  • Apply for our free face-to-face training sessions and become a Raspberry Pi Certified Educator.

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This article is from the free online course:

Teaching Physical Computing with Raspberry Pi and Python

Raspberry Pi Foundation