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Edge Impulse for Students
Are you an Educator? Click here for our University Program
Empowering tomorrow’s innovators
Join the Edge Impulse Student Program and gain access to the tools, resources, and community you need to build the future of AI and machine learning. Designed for students in engineering, data science, and related fields, this program offers everything you need to learn, innovate, and grow—all at no or reduced cost.
Why join the student program?
Learn edge AI with ease
Edge Impulse is the perfect fit for students, offering an easy-to-use yet powerful platform that only requires an internet connection to get started. Whether you’re building your first project or tackling advanced machine learning challenges, we’ve got you covered.
Build your skills
Gain hands-on experience with Edge AI tools used by professionals. Learning Edge AI skills can help you build your career. From tutorials to hackathons, you’ll have opportunities to learn, grow, and create a solid reputation while building projects that make an impact.
Be part of a community
Join a global community of young innovators. Connect with peers, get support from experts, and showcase your work to a network of students, educators, and professionals.
What’s included
How to join
This program is open to students aged 18 and above, enrolled in a degree or diploma-granting course such as university, college, or technical institute worldwide.
Create an account with your
institutional email
(e.g., “.edu”, “.ac.uk”) using the following link.
Complete the application form to request access to the program.
Our team will review your application. You should get an answer within a few days. If you have not received a response within a week, please drop a message on our forum.
Campus Ambassadors: Lead the way
What is the Campus Ambassador Program?
This additional program is a leadership opportunity for students to represent Edge Impulse at their institutions, organize events, and connect with the community. If you would like to participate to this program, more information will be provided through the Student Program communications.
Become a leader
As a Campus Ambassador, you’ll represent Edge Impulse at your institution. Host events, share knowledge, and inspire your peers to explore the world of AI and machine learning.
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Benefits for ambassadors
- Exclusive Edge Impulse swag and resources
- Event sponsorship and support.
- Recognition on our website and social channels.
- Priority consideration for internships and career opportunities.
Ambassador responsibilities
- Organize at least two Edge Impulse events per semester (hackathons, talks, workshops).
- Actively promote Edge Impulse in your community.
- Provide feedback to help us improve the student experience.
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Take a Course
We have courses that take you from beginner to expert across all the disciplines of edge AI. Check them out here for free:
Take our high level introduction to the concepts and vocabulary around edge AI. There are no hands-on exercises or programming required, this course is designed to give you a strong foundation to take forward in your edge AI learning journey.
Take the courseLearn the fundamentals of machine learning as well as how to build and deploy models on microcontrollers. This course covers core ML concepts, training neural networks, and hands-on projects in embedded ML. Microcontrollers are commonly used in mass market deployments of edge AI due to their low cost and power requirements, learn about how to deal with these constraints to build successful use-cases with edge AI. No prior ML experience is required, but basic familiarity with Arduino, microcontrollers, and maths is recommended.
Take the courseThe course covers important concepts in computer vision, including how digital images are constructed, stored, and manipulated. You will learn how to create your own dataset from captured images and use Edge Impulse to train a neural network to classify these images. From there, you will see how convolutional neural networks (CNNs) operate and how they can be used to create robust machine learning models for vision applications. Finally, you will have the chance to train your own object detection system, which allows you to identify multiple objects of interest in images and videos.
Take the courseThis course introduces developers to Edge AI using Edge Impulse on Linux-based platforms. It covers Edge AI fundamentals, the benefits of Linux for edge computing, and practical applications using a range of sensors from microphones to cameras.. This course covers deployment on linux targets such as single board computers which are common in higher end industrial use-cases. A basic familiarity with python, linux and maths is recommended.
Coming soon
Frequently asked questions
Students aged 18 and above enrolled in a university, college, or technical institute.
Your benefits will be active for 2 years starting from the date of acceptance into the program. If you are still a student by then, you can apply again.
You’ll have access to tutorials, case studies, project templates, and dedicated support channels.
Visit our Student Program webpage and complete the application process.
It’s an additional program designed for young leaders to represent Edge Impulse at your institution, organize events, and connect with the community.
If you use Edge Impulse in a scientific publication, we would appreciate citations to the following paper:
Edge Impulse: An MLOps Platform for Tiny Machine Learning
```
@misc{hymel2023edgeimpulsemlopsplatform,
title={Edge Impulse: An MLOps Platform for Tiny Machine Learning},
author={Shawn Hymel and Colby Banbury and Daniel Situnayake and Alex Elium and Carl Ward and Mat Kelcey and Mathijs Baaijens and Mateusz Majchrzycki and Jenny Plunkett and David Tischler and Alessandro Grande and Louis Moreau and Dmitry Maslov and Artie Beavis and Jan Jongboom and Vijay Janapa Reddi},
year={2023},
eprint={2212.03332},
archivePrefix={arXiv},
primaryClass={cs.DC},
url={https://arxiv.org/abs/2212.03332},
}
```
