Computer Vision with Embedded Machine Learning
Master computer vision and deploy ML models on microcontrollers. Learn image classification and object detection.
Master computer vision and deploy ML models on microcontrollers. Learn image classification and object detection.
This comprehensive course teaches computer vision implementation on embedded systems using machine learning. Students learn to train and deploy neural networks for image classification and object detection on microcontrollers. The curriculum, developed by Edge Impulse and partners, covers CNN architecture, transfer learning, and practical deployment strategies. Combining theoretical understanding with hands-on projects, learners gain expertise in TinyML applications for computer vision.
4.8
(132 ratings)
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What you'll learn
Train and develop image classification systems using machine learning
Implement object detection systems using neural networks
Deploy ML models successfully to microcontrollers
Master CNN architecture and training techniques
Understand transfer learning and data augmentation
Gain practical experience with embedded vision systems
Skills you'll gain
This course includes:
405 Minutes PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This course provides a comprehensive introduction to computer vision applications in embedded systems using machine learning. Through three modules, students explore digital image processing, convolutional neural networks (CNNs), and object detection techniques. The curriculum covers essential topics including image classification, transfer learning, data augmentation, and model deployment on microcontrollers. Students gain practical experience through hands-on projects using industry-standard tools and frameworks.
Image Classification
Module 1 · 11 Hours to complete
Convolutional Neural Networks
Module 2 · 10 Hours to complete
Object Detection
Module 3 · 8 Hours to complete
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Instructor
Technical Content Developer and Electronics Education Expert
Shawn Hymel is an accomplished technical educator and content developer who specializes in making complex electronics and programming concepts accessible to learners of all ages. As the founder of Skal Risa, LLC since 2017, he creates educational videos, blogs, and courses for various technology clients. His professional background includes engineering positions at SparkFun Electronics, where he later transitioned into video production and marketing advisory roles. Currently, he serves as an instructor at Edge Impulse, where he teaches courses on embedded machine learning and computer vision. His contributions to technical education include developing comprehensive course materials on Real-Time Operating Systems (RTOS) and other advanced electronics topics. Beyond his professional work, he maintains an active presence in the electronics community by conducting workshops, and balances his technical pursuits with recreational interests like swing dancing.
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4.8 course rating
132 ratings
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