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Internet of Things (IoT)

The IoT course that’s as interactive as the devices you’ll learn to connect. 

(IOT.AW1) / ISBN : 978-1-64459-642-5
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About This Course

Enroll in our Internet of Things (IoT) course to master the tech that connects everything.

In this IoT course, dive into architecture, protocols, and IoT programming frameworks like Arduino and Raspberry Pi. Then, explore IoT applications in healthcare, agriculture, and smart cities.

Get ready to learn how cloud computing integrates with IoT, earn your IoT certification & build your own IoT solutions from scratch. 

Skills You’ll Get

  • IoT Architecture & Protocols: Master the layers, components, and communication models that power IoT systems.
  • Embedded Programming: Develop hands-on skills with Arduino, Raspberry Pi, and Python for IoT applications.
  • Cloud & IoT Integration: Learn how cloud computing enhances IoT scalability and data processing.
  • Security & Privacy in IoT: Identify risks and implement solutions to secure connected devices and networks.
  • IoT Applications: Build smart solutions for industries like healthcare, agriculture, and smart cities.
  • Troubleshooting & Optimization: Diagnose challenges in IoT deployment and optimize performance.
Download Course Outline

1

Preface

2

Fundamentals of the Internet of Things

  • Introduction
  • Characteristics of IoT
  • The physical design of IoT
  • IoT architecture and components
  • Logical design of IoT
  • Communication models
  • IoT communication APIs
  • Evaluating business impact and economics for IoT
  • Conclusion
  • Points to remember
  • Descriptive questions
3

IoT Architectures and Protocols

  • Introduction
  • Taxonomy
  • Three-layer and five-layer architecture of IoT
  • Cloud and fog based architecture of IoT
  • Representative architecture
  • Near Field Communication (NFC)
  • Wireless sensor network (WSN)
  • IoT network protocol stack
  • IoT technology stack
  • Bluetooth, ZigBee, and 6LowPAN
  • Points to remember
  • Key terms
  • Descriptive questions
4

Programming Framework for IoT

  • Interoperability in IoT
  • Programming paradigm
  • Assembly
  • Introduction to Arduino programming
  • Introduction to Python programming
  • Introduction to Raspberry Pi
  • Implementation of IoT with Raspberry Pi
  • Conclusion
  • Points to remember
  • Descriptive questions
5

Virtualization in IoT

  • Introduction of virtualization technology
  • Types of virtualization
  • Virtualization and IoT
  • Embedded virtualization
  • IoT and embedded virtualization
  • Conclusion
  • Points to remember
  • Descriptive questions
6

Security, Privacy, and Challenges in IoT

  • Introduction
  • Design challenges
  • Development challenges
  • Security challenges
  • Privacy challenges
  • Other challenges
  • Trust management
  • Conclusion
  • Points to remember
  • Descriptive questions
7

IoT Applications Area: Emerging Application Areas of IoT

  • Introduction
  • Homes (the smart home)
  • Internet of Things (IoT) in healthcare
  • Internet of Things (IoT) in agriculture
  • IoT in military application
  • Internet of Things (IoT) and politics
  • Internet of Things (IoT) and constructions
  • Internet of Things (IoT) and other application areas
  • Conclusion
  • Case studies
  • Descriptive questions
  • Reference
8

Integration of Cloud and IoT

  • Introduction
  • Cloud
  • Internet of Things (IoT)
  • Difference between cloud computing and IoT
  • Integration of CloudIoT-the role of cloud computing in the IoT
  • CloudIoT architecture: Service and deployment model
  • Stages, administrations, and research ventures
  • Challenges of CloudIoT
  • Future scope
  • Conclusion
  • Exercise
9

Smart City Using IoT Integration

  • Introduction
  • Concept of smart city
  • The emergence and definition of a smart city
  • Dimensions and components of smart city initiatives
  • Adoption of IoT in automation
  • Design strategies
  • Factors affecting automation using IoT
  • Existing application areas
  • IoT applications in smart cities
  • Education
  • Healthcare
  • E-governance
  • Industry
  • Conclusion
10

Internet of Things (IoT) Use Cases

  • Introduction
  • Industrial Internet of Things (IIoT) use case
  • IoT and smart energy
  • Smart transportation
  • Smart health
  • Smart home and smart buildings
  • Smart education system
  • Governance use case
  • Smart cities
  • Conclusion
  • Descriptive questions
  • Reference

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Absolutely! IoT (Internet of Things) is a fast-growing field with demand in industries like healthcare, smart cities, agriculture, and manufacturing. 

As more devices connect to the internet, companies need skilled professionals to design, secure, and manage IoT systems. If you enjoy working with hardware, software, and data, our IoT training offers exciting opportunities.   

It depends on your interests!

  • IoT focuses on connecting and automating physical devices (sensors, wearables, smart homes).
  • AI deals with machine learning, data analysis, and intelligent decision-making.

Best combo? IoT + AI. Many high-paying jobs (like AIoT engineers) combine both!

  Yes. Salaries vary by role and experience. But the average salary for an IoT Engineer is $108326 annually in the United States. 

Develop Strong IoT Skills

  Join our IoT course online to step up your game and secure high-paying jobs.  

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