Computer Vision with Embedded Machine Learning By Edge Impulse (Free Online Course) : Computer vision, powered by embedded machine learning, is transforming the way machines interpret and interact with the physical world. By integrating machine learning models directly into embedded devices, such as cameras, sensors, and IoT systems, organizations can enable real-time image and video analysis at the edge. This eliminates the need for cloud computing, allowing for faster, more efficient processing and decision-making in fields like autonomous vehicles, robotics, and healthcare. In this introduction, we’ll explore how the combination of computer vision and embedded machine learning is advancing industries by bringing intelligent, real-time visual processing capabilities to edge devices.
Contents
What You Will Learn?
| How to train and develop an image classification system using machine learning |
| How to train and develop an object detection system using machine learning |
| How to deploy a machine learning model to a microcontroller |
Skills You Will Gain
- Computer Programming
- Python Programming
- Machine Learning
- Microcontroller
- Embedded System Development
Concepts Covered in the Course
Module 1 – Image Classification
Module 2 – Convolutional Neural Networks
Module 3 – Object Detection
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Course Enrollment Process
Here are steps on how to enroll in the “Introduction to Cybersecurity Fundamentals” course on Coursera:
- Visit the Course Page: Go to the course page on Coursera.
- Click on “Enroll for Free”: Located on the far-left side under the course title.
- Choose Enrollment Type: Opt for either the “Free Audit” or a paid version for certification.
- Sign In or Register: Log in or create a Coursera account.
- Start Learning: Once enrolled, access the course materials.
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