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Computer Vision with Embedded Machine Learning
Master computer vision and deploy ML models on microcontrollers. Learn image classification and object detection.
Course Cost
₹ 2,699
Intermediate
Skill Level
29 Hours
Self-paced lessons
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.
21,648 Enrolled
English
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
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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