Description
IoT (Internet of Things) refers to a network of interconnected physical devices, vehicles, home appliances, and other objects that are embedded with sensors, software, and network connectivity to collect and exchange data over the internet. These devices can communicate with each other and with central systems, enabling automation, monitoring, and control of various processes in real time.
Internet of Things Course Content
Introduction to IoT
- What is IoT?
- Evolution and history of IoT
- Key components of IoT (sensors, devices, networks)
- Applications of IoT in various industries
- IoT architecture and layers (Perception, Network, Application)
IoT Hardware
- Introduction to IoT devices and hardware platforms
- Overview of popular hardware platforms: Arduino, Raspberry Pi, ESP8266, ESP32
- Working with sensors and actuators (temperature, humidity, motion, etc.)
- Understanding microcontrollers and microprocessors
Communication Protocols in IoT
- Overview of IoT communication protocols
- Wired vs. wireless communication protocols
- Common wireless protocols: Wi-Fi, Bluetooth, Zigbee, LoRa, Z-Wave
- Understanding MQTT, CoAP, HTTP, and WebSockets for IoT communication
IoT Networking and Connectivity
- IoT network architecture: Edge, Fog, and Cloud computing
- Introduction to Local Area Networks (LAN) and Wide Area Networks (WAN)
- IoT and the role of IPv6
- Device-to-Device (D2D) communication
- Setting up network connectivity for IoT devices
Sensors and Actuators
- Introduction to sensors: types and functions
- Connecting and interfacing sensors to IoT devices
- Actuators and their role in IoT systems
- Controlling actuators through IoT devices
IoT Data Management
- Understanding data collection and processing
- Working with IoT data streams
- Cloud platforms for IoT data storage (AWS IoT, Google Cloud IoT, Azure IoT Hub)
- Real-time data analysis
- Data security and privacy in IoT
IoT Cloud Platforms
- Overview of IoT cloud platforms (AWS IoT, Google Cloud IoT, Microsoft Azure IoT)
- Connecting IoT devices to the cloud
- IoT data visualization using cloud platforms
- Using cloud APIs for IoT applications
- Managing IoT devices through the cloud
IoT Security
- Introduction to IoT security challenges
- Common vulnerabilities in IoT systems
- Encryption techniques for secure communication
- Secure boot, firmware, and device authentication
- Best practices for IoT security
IoT Programming
- Introduction to IoT programming languages (Python, C, C++)
- Writing basic IoT programs for sensor data collection
- Interfacing IoT devices with microcontrollers (e.g., Arduino, Raspberry Pi)
- Introduction to Python libraries for IoT (e.g., pySerial, paho-mqtt)
- Real-time control and automation using programming
IoT Data Analytics
- Introduction to IoT data analytics
- Basic data analytics techniques for IoT
- Using Machine Learning in IoT
- Predictive analytics with IoT data
- Data visualization tools (e.g., Grafana, Tableau, ThingSpeak)
Edge Computing in IoT
- Introduction to edge computing
- Differences between cloud and edge computing in IoT
- Implementing edge analytics
- Benefits of edge computing for IoT applications
- Case studies of edge computing in IoT
IoT Use Cases and Applications
- Smart home automation
- Industrial IoT (IIoT) and Industry 4.0
- Healthcare IoT (Wearable devices, remote monitoring)
- Smart cities and smart agriculture
- Transportation and autonomous vehicles
IoT Project Development
- Steps to build an IoT solution
- Project lifecycle: planning, prototyping, implementation, and testing
- Designing IoT hardware for a project
- Integrating sensors, devices, and networks
- IoT project management best practices
Testing and Debugging IoT Systems
- Debugging IoT hardware and software
- Testing connectivity and sensor accuracy
- Simulation tools for IoT (e.g., Cisco Packet Tracer, IoTify)
- Troubleshooting common IoT issues
Courses Features
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LanguageEnglish
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Lectures1
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CertificationYes
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Project02
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Duration35 hrs
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Max-Students20
