Machine Learning at the Edge on Arm: A Practical Introduction
Explore how machine learning works on real-world Arm-based devices.
Machine learning is increasingly being used directly on connected devices, especially where fast, efficient and low-power decision-making is required. This course introduces learners to the principles of artificial intelligence, machine learning and Edge ML, with a focus on deploying models on Arm-based microcontrollers.
Learners will explore datasets, model training, neural networks, computer vision and the practical constraints involved in running machine learning models on microcontroller environments.
To complete this training, learners must enrol through Arm Education.
Access the course
Free
What you'll Learn
Understand the basic concepts of artificial intelligence, machine learning and Edge ML
Identify key machine learning features including datasets, data analysis and model training
Explain the basic elements of artificial neural networks
Understand the core principles of convolutional neural networks
Explore how computer vision can be deployed using CNN models
Learn how to optimise machine learning models for microcontroller environments
Skills you'll gain
There are 6 modules in this course
Course Features
- Intermediate to Advanced
- 36+ hours of video content
- 6 modules with over 0 lessons
- Lifetime access with free updates
- No prior programming experience required
Join as a partner to collaborate on projects and initiatives.
Partner With UsReviews
Why People Choose Us for Their Career
Sarah Collins
Aston University
This course transformed the way I think about web development. The curriculum is well-structured and the instructor is very engaging.
Emily Roberts
Cambridge Wireless
Fantastic learning experience. I gained practical skills I could apply immediately in my role at Cambridge Wireless.
James Walker
Cambridge Wireless
The modules are clearly laid out and the projects really help solidify the concepts. Highly recommended.
Olivia Martinez
Homerton University
I was a complete beginner and now I feel confident building real projects. The support community is excellent.