Applied Tiny Machine Learning (TinyML) for Scale
Develop skills in TinyML, creating optimized machine learning models that can run effectively on small devices with limited resources.
Develop skills in TinyML, creating optimized machine learning models that can run effectively on small devices with limited resources.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Applied Tiny Machine Learning (TinyML) for Scale Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
English
Powered by
What you'll learn
Develop effective TinyML data collection strategies
Master model optimization for constrained devices
Implement TensorFlow Lite for Microcontrollers
Automate MLOps lifecycle for tiny devices
Design practical TinyML applications
Skills you'll gain
This course includes:
60 Hours PreRecorded video
3 course assessments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 courses in this program
Applications of TinyML
Course 1 · 6 Weeks to complete · 10 modules
Deploying TinyML on Microcontrollers
Course 2 · 5 Weeks to complete · 5 modules
MLOps for TinyML: Scaling Machine Learning Systems
Course 3 · 7 Weeks to complete0
Fee Structure
Payment options
Financial Aid
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.