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1. Introduction to IoT
  • Definition and evolution of IoT
  • IoT architecture: Layers and components
  • IoT enabling technologies: Sensors, Actuators, Communication Protocols
  • Applications of IoT: Smart homes, Healthcare, Agriculture, Industrial IoT, Smart cities
  • Challenges and future trends in IoT
2. IoT Hardware and Devices
  • IoT sensors and actuators: Types and applications
  • Microcontrollers and Microprocessors: Arduino, Raspberry Pi, ESP32
  • Communication modules: Zigbee, Bluetooth, Wi-Fi, LoRa, NFC
  • Power management in IoT devices
  • IoT gateways and edge devices
3. IoT Networking and Communication Protocols
  • Network architectures: PAN, LAN, WAN
  • Communication models: Device-to-Device (D2D), Device-to-Gateway, Device-to-Cloud
  • IoT protocols:
  • MQTT (Message Queuing Telemetry Transport)CoAP (Constrained Application Protocol)
  • AMQP (Advanced Message Queuing Protocol)
  • HTTP/HTTPS
  • Wireless communication standards: Zigbee, Z-Wave, LoRaWAN
  • IPv6 and 6LoWPAN
4. IoT Platforms and Tools
  • Overview of IoT platforms: Google Cloud IoT, Amazon AWS IoT, Microsoft Azure IoT
  • Open-source IoT platforms: ThingsBoard, OpenHAB, Node-RED
  • Data collection, storage, and analysis
  • IoT middleware
  • Real-time monitoring and dashboards
5. IoT Data Management and Analytics
  • Data acquisition and preprocessing
  • Cloud storage for IoT: AWS, Google Cloud, Azure
  • Big data and IoT
  • Data analytics techniques for IoT
  • Machine learning and AI integration in IoT
  • Visualization tools for IoT data
6. IoT Security and Privacy
  • IoT security challenges
  • Authentication and authorization in IoT
  • Data encryption techniques
  • Secure communication protocols
  • Intrusion detection and prevention systems
  • Privacy concerns in IoT applications
7. IoT Applications
  • Smart homes and buildings
  • Industrial IoT (IIoT) and automation
  • Healthcare and wearable devices
  • Agriculture and environmental monitoring
  • Transportation and logistics
  • Energy management and smart grids
8. IoT Development
  • IoT programming basics: Python, C/C++
  • Interfacing sensors and actuators with microcontrollers
  • Setting up IoT devices using Arduino/Raspberry Pi
  • Building IoT applications with Node-RED
  • IoT mobile and web application development
9. IoT and Emerging Technologies
  • Integration of IoT with Artificial Intelligence (AI) and Machine Learning (ML)
  • IoT and Blockchain for secure transactions
  • Role of IoT in 5G networks
  • Edge computing in IoT
  • IoT and augmented/virtual reality (AR/VR)
10. IoT Case Studies
  • Smart city implementations
  • IoT in healthcare: Remote monitoring and diagnostics
  • IoT in agriculture: Precision farming
  • Industrial IoT for predictive maintenance
  • Smart transportation and autonomous vehicles
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