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IoT Essential

  • Category: Cyber Security
  • Exam Code: IOTE
  • Type of Question: Multiple-choice question
  • Exam Duration: 120 Minutes
  • Passing Score: 60%
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Description

IoT Essentials is a foundational course tailored for individuals and professionals interested in understanding and working with Internet of Things (IoT) technologies. It covers key concepts such as IoT architecture, sensor networks, communication protocols (like MQTT and CoAP), and IoT security. Participants will gain hands-on experience in designing, building, and deploying IoT systems, equipping them with the skills needed to innovate in the rapidly growing field of connected devices and smart environments.

Course Curriculum

  1. Basics of IoT
    • Definition and Scope of the Internet of Things
    • Historical Developments in IoT
    • Key Components of an IoT System
  2. IoT Architecture
    • Device layer, connectivity layer, and application layer
    • Protocols and Communication Standards in IoT
    • Cloud computing and edge computing in IoT
  3. IoT Applications and Use Cases
    • Smart homes and buildings
    • Industrial IoT (IIoT)
    • Healthcare, agriculture, and other IoT applications
  1. IoT Devices and Platforms
    • Microcontrollers and microprocessors
    • Single-board computers (e.g., Raspberry Pi)
    • IoT development boards and kits
  2. Sensors and Actuators
    • Types of sensors (e.g., temperature, humidity, motion)
    • Actuators and Output Devices
    • Interfacing sensors and actuators with IoT devices
  3. Project: Building a Simple IoT Device
    • Hands-on project to create a basic IoT device using sensors and actuators
  1. IoT Connectivity Protocols
    • Wired and Wireless Communication Protocols
    • MQTT, CoAP, HTTP, and other IoT-specific protocols
    • Choosing the right connectivity for IoT applications
  2. Networking for IoT
    • IoT networking topologies
    • IoT security considerations
    • Managing network traffic in IoT systems
  3. Project: Implementing IoT Connectivity
    • Practical application of IoT connectivity principles in a project setting
  1. IoT Data Processing and Analytics
  2. Edge Computing in IoT
    • Importance of edge computing in IoT
    • Edge devices and edge computing architecture
    • Real-time data processing at the edge
  3. Project: IoT Data Processing and Analytics
    • Applying edge and cloud computing concepts to process and analyze IoT data
  1. Security in IoT
    • Common IoT Security Threats
    • Securing IoT devices and networks
    • Best Practices for IoT Security
  2. Privacy and Ethical Considerations
    • Privacy Challenges in IoT
    • Ethical considerations in IoT design and deployment
    • Regulatory compliance in IoT projects
  3. Future Trends in IoT
    • Edge AI and machine learning in IoT
    • 5G and its impact on IoT
    • Emerging technologies shaping the future of IoT