Energy Management For Iot Devices

This course offers a comprehensive introduction into the integration of energy management techniques within IoT devices.

Karlis Zars
Published: Jun 2024
Core
Data Science
9 hours
In partnership with:Coursera
Energy Management For Iot Devices

Course Overview

This course offers a comprehensive introduction into the integration of energy management techniques within IoT devices. It aims to equip current and aspiring professionals with an understanding of how energy management is crucial in the IoT landscape, balancing theoretical knowledge with practical applications.  The course is structured to explore various thematic aspects of energy management in IoT, emphasizing real-world applications and skill-building. Participants will gain a comprehensive understanding of energy-efficient technologies, strategies, and their impact on IoT devices. 

Skills You Will Gain

Industrial Applications
IoT Development
Networking Considerations
Prototyping
Smart Environments

Course Includes

1K
STUDENTS*
95.6%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Learning Outcomes (At the end of this program, you will be able to...)

  • Understand the principles of energy management in IoT. 
  • Explore energy-efficient technologies in IoT devices. 
  • Analyze strategies for effective energy management in IoT applications. 
  • Apply energy management techniques in real-world IoT scenarios. 

Prerequisites

  • Basic understanding of IoT concepts. 
  • Familiarity with basic principles of energy management

Who Should Attend

  • IoT Developers/Engineers
  • Energy Professionals
  • Students and Researchers 

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.