M2M & IoT Interface Design & Protocols for Embedded Systems
Master IoT and M2M protocols for cloud-connected embedded systems. Learn AWS IoT framework, communication protocols, and microservice architecture design.
Master IoT and M2M protocols for cloud-connected embedded systems. Learn AWS IoT framework, communication protocols, and microservice architecture design.
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 Embedded Interface Design Specialization 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
Design and implement cloud-connected IoT systems
Master M2M and IoT communication protocols
Develop secure embedded system interfaces
Implement AWS IoT frameworks and services
Create microservice architectures for IoT applications
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on connecting devices to the cloud and creating IoT systems. It covers M2M and IoT concepts, cloud development using AWS IoT framework, communication protocols, and essential design considerations including security and microservices. Students learn practical implementation through hands-on projects, working with AWS, Python, and Node.JS to develop embedded interface designs.
Introduction to M2M & IoT
Module 1 · 1 Hours to complete
Cloud for IoT
Module 2 · 2 Hours to complete
Communications Protocols
Module 3 · 2 Hours to complete
Other Cloud and IoT Elements
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Expert in Applied Mathematics and Engineering Education
Bruce Montgomery, PhD, PMP, is an accomplished educator and professional at the University of Colorado Boulder, where he teaches courses related to embedded interface design. His expertise includes advanced topics such as ANOVA and experimental design, generalized linear models, and modern regression analysis in R. With a robust academic background and industry experience, he is dedicated to enhancing the learning experience for students in the field of applied mathematics and engineering.
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Frequently asked questions
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