Energy Management for IoT Devices
Energy Management for IoT Devices is a comprehensive course designed to help learners understand the integration of energy management in IoT systems and the growing role of IoT energy management in modern connected technologies. Through a blend of theoretical concepts and practical applications, participants will gain a strong understanding of how energy management in the IoT (internet of things) supports energy efficiency, sustainability, and optimized device performance across industries. Over 4 hours of learning, participants will explore key concepts, technologies, and real-world applicat
Skills you'll learn
We may earn a commission if you enroll through our links — it never affects the price you pay.
Similar courses
Using Sensors With Your Raspberry Pi
This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors. This course focuses on core concepts and techniques in designing and integrating any sensor, rather than overly specific examples to copy. This method allows you to use these concepts in y
All levels
Device-based Models with TensorFlow Lite
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in mobile applications. You’ll learn how to prepare models for a lower-powered, battery-operated devices, then execute models on both Android and iOS platforms. Finally, you’ll explore how to deploy on embedded systems using TensorFlow on Raspberry Pi and microcontrollers. This Specialization builds u
All levels
Elements of Computer Aided Manufacturing
In this course, learners will be introduced to the fundamental concepts of computer-aided manufacturing and its implementation through open-source software. The course involves topics related to Computer-Aided Manufacturing (CAM), Computer-Aided Process Planning (CAPP), Essentials of CNC machines and Robotic Arms, NC programming, and Toolpath generation through open-source software and CAD/CAM tools PowerShape and PowerMill. This course is best suited for undergraduate students in mechanical engineering. Professionals working across IoT, Product Design, Materials, Mechanics, and System Design
All levels
VLSI CAD Part I: Logic
A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc. How do we design these complex chips? Answer: CAD software tools. Learn how to build thesA modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of t
All levels