Tiny Machine Learning (TinyML)
Master embedded machine learning with Harvard's comprehensive program. Learn to deploy ML models on resource-constrained devices.
Master embedded machine learning with Harvard's comprehensive program. Learn to deploy ML models on resource-constrained devices.
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 Tiny Machine Learning (TinyML) 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.
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What you'll learn
Master fundamentals of machine learning and embedded systems
Learn effective data gathering for ML model training
Develop expertise in Python for TinyML applications
Optimize ML models for resource-constrained devices
Design and implement custom TinyML applications
Program using TensorFlow Lite for Microcontrollers
Skills you'll gain
This course includes:
8 Hours PreRecorded video
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 3 courses in this program
TinyML Foundations: Machine Learning for Embedded Systems
Course 1 · 5 Weeks to complete · 2 modules
Applications of TinyML
Course 2 · 6 Weeks to complete · 10 modules
Deploying TinyML on Microcontrollers
Course 3 · 5 Weeks to complete · 5 modules
Fee Structure
Payment options
Financial Aid
Testimonials
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Frequently asked questions
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