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IoT Essential - IOTE

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

In order to create networked devices, IoT Essentials includes a basic grasp of edge computing, communication protocols, and sensor technologies. To design and manage IoT systems, one must be proficient in cloud computing platforms and programming languages like Python or C. Understanding IoT Essentials is essential to ensure that connected devices operate and integrate seamlessly into the Internet of Things ecosystem. Security and interoperability play key roles in this regard.

Course Curriculum

1. Introduction to IoT
  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. Edge Computing in IoT
    • Importance of edge computing in IoT
    • Edge devices and edge computing architectures
    • Real-time data processing at the edge
  2. Cloud Computing and IoT
    • Cloud platforms for IoT (e.g., AWS IoT, Azure IoT)
    • Data storage and analytics in the cloud
    • Integrating edge and cloud computing
  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