Introduction to Embedded Machine Learning By Edge Impulse (Free Online Course) : Embedded machine learning brings the power of AI to the edge, allowing devices to run complex algorithms directly on hardware such as microcontrollers, sensors, and IoT systems. By embedding machine learning models into these devices, organizations can enable real-time data processing and decision-making without relying on cloud computing. This not only reduces latency but also enhances privacy and reduces energy consumption. Embedded machine learning is revolutionizing industries like healthcare, manufacturing, and autonomous systems by enabling smarter, more efficient operations. In this introduction, we’ll explore how this technology works and its transformative potential in real-world applications.
Contents
What You Will Learn?
| The basics of a machine learning system |
| How to deploy a machine learning model to a microcontroller |
| How to use machine learning to make decisions and predictions in an embedded system |
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Skills You Will Gain
- Computer Programming
- Arduino
- Machine Learning
- Microcontroller
- Embedded System Design
Concepts Covered in the Course
Module 1 – Introduction to Machine Learning
Module 1 – Introduction to Neural Networks
Module 1 – Audio classification and Keyword Spotting
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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