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Fundamentals of IoT

Learn to build the smart devices shaping tomorrow. This Internet-of-Things online course gives you hands-on IoT skills using real-world hardware, coding, and design challenges.

(FUND-IOT.AW1) / ISBN : 978-1-64459-754-5
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About This Course

The Fundamentals of IoT course introduces you to the world of building blocks of the Internet of Things. Our hands-on learning approach makes concepts accessible, exciting, and entirely beginner-friendly. 

You’ll learn to combine sensors, code, and creativity as you explore the core technologies powering smart homes, wearable devices, and intelligent systems. 

To finish, you’ll apply learning by doing interactive activities, Arduino programming, and whatnot. Cause you don’t have to be a tech genius to learn how the smart world works - just curious to know how it begins. 

Skills You’ll Get

  • Introduction to IoT: Understanding the IoT & learn how it is shaping the world, exploring the conceptual frameworks & architectural view of the Internet of Things. 
  • Hardware For IoT: Dive into the world of IoT hardware components such as sensors, actuators, RFID, & Wireless sensor networks. 
  • Embedded Platforms for IoT: Understanding the embedded systems in IoT is as well as the challenges that they might face. 
  • Programming the Arduino: Get your hands-on experience with Arduino programming for IoT applications & learn how the Arduino IDE, libraries work.
Download Course Outline

1

Preface

2

Introduction to Internet of Things

  • Introduction
  • Internet of Things
  • Conceptual framework
  • Architectural view of IoT
  • Technologies behind IoT
  • Sources of IoT
  • Questions
3

Hardware for IoT

  • Introduction
  • Sensors
  • Actuators
  • Radio frequency identification technology
  • Wireless sensor networks
  • Participatory sensing technology
  • Conclusion
  • Questions
4

Embedded Platforms for IoT

  • Introduction
  • Embedded system in IoT
  • Challenges of IoT embedded software
  • Embedded computing examples
  • IoT-supported hardware platforms
  • Conclusion
  • Questions
5

Programming the Arduino

  • Introduction
  • Overview of Arduino
  • Anatomy of Arduino UNO
  • Arduino IDE (a programming environment)
  • Programming the Arduino
  • Programming the Arduino for IoT
  • Coding Arduino using emulator
  • Arduino libraries
  • Conclusion
  • Questions
6

IoT and M2M Design Standards

  • Introduction
  • M2M communication
  • Applications of M2M communication
  • Types of M2M communication
  • Working of M2M communication
  • IoT/M2M system layers
  • IoT/M2M design standardization
  • Communication technologies in IoT
  • Data enrichment
  • Data consolidation
  • Ease of designing and affordability of IoT systems
  • Conclusion
  • Questions
7

Network and Communication Aspects of IoT

  • Introduction
  • Architecture of IoT
  • Network and communication aspects
  • Protocols used in IoT
  • Message Queuing Telemetry Transport 
  • Wireless medium access issues
  • MAC protocol survey
  • Sensor deployment
  • Node discovery
  • Data aggregation
  • Data dissemination
  • Conclusion
  • Questions
8

IoT Design Challenges

  • Introduction
  • IoT design challenges
  • Development challenges of IoT
  • Security challenges of IoT
  • Application vulnerabilities
  • Other challenges
  • Conclusion
  • Questions
9

Applications of IoT

  • Introduction
  • Applications of IoT
  • Smart metering
  • Smart Health
  • City automation
  • Automotive applications
  • Home automation
  • Smart cards
  • Communicating data with H/W units in IoT systems
  • Designing smart street lights in smart city
  • IoT in mobile devices
  • Conclusion
  • Questions
A

Appendix: Hands-On Practical Problems

  • Introduction
  • Program 1- Code the Arduino for sensing temperature and humidity
  • Program 2- Code the Arduino for connecting ultrasonic sensor
  • Program 3- Code Arduino for connecting MQ2 gas sensor for detecting gases
  • Program 4- Code Arduino for connecting Bluetooth module
  • Program 5- Code Arduino for using a Wi-Fi module
  • Program 6- Code Arduino for monitoring sensor data over the internet
  • Program 7- Code Arduino for using a Wi-Fi module
  • Program 8- Code Arduino for creating a local server
  • Hardware required

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This IoT course for beginners is especially curated for anyone who is interested in the Internet of Things, regardless of your background. 

No, the fundamentals of the IoT course are built specifically for beginners who have no experience in coding & other backgrounds.

Here are some of the advantages of learning IoT: 

  • Build smart solutions
  • Automate everyday tasks
  • Understanding how data-driven systems operate

To start learning IoT, start acquiring foundational knowledge in programming, electronics & embedded systems. Then, explore practical experience with Microcontrollers such as Arduino, or Raspberry Pi, & consider online courses & projects to build a solid understanding. 

The Internet of Things does provide a wide range of career opportunities across industries. From developing the hardware & software for the connected devices to analyzing the data that they generate. 

Yes, you can. Changing your career from an IoT developer to an AI/ML engineer is a variable & increasingly popular transition. The two fields are highly complementary & all of your skills will be a significant addition to your AI/ML engineer career.

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