Internet Of Things

by SDLC (Skill Development Learning Centre) Claim Listing

This course provides a comprehensive introduction to the Internet of Things (IoT), covering the basics of IoT architecture, protocols, and hands-on projects. Students will learn to design and implement IoT solutions using various hardware and software components.

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Course Details

This course provides a comprehensive introduction to the Internet of Things (IoT), covering the basics of IoT architecture, protocols, and hands-on projects. Students will learn to design and implement IoT solutions using various hardware and software components.

 

Content:

  • Introduction to IoT
  • Overview of the Internet of Things and its applications
  • Key components of an IoT ecosystem (sensors, actuators, connectivity)
  • IoT architecture models (Device-to-Cloud, Edge Computing)
  • IoT Communication Protocols
  • Introduction to IoT communication protocols (MQTT, HTTP, CoAP, etc.)
  • Comparison of wired and wireless communication protocols
  • Implementing basic communication using MQTT
  •  IoT Sensors and Actuators
  • Types of sensors (temperature, humidity, motion, etc.) and actuators
  • Interfacing sensors and actuators with microcontrollers
  • Data acquisition, processing, and transmission
  • Microcontrollers and Development Platforms
  • Introduction to microcontrollers (Arduino, Raspberry Pi, etc.)
  • Programming microcontrollers for IoT applications
  • Using development environments and IDEs
  •  IoT Data Management and Analytics
  • Data storage and databases for IoT applications
  • Real-time data processing and analytics
  • Data visualization and dashboard creation
  • IoT Security and Privacy
  • Common security challenges in IoT deployments
  • Secure communication and encryption techniques
  • Best practices for IoT security and privacy
  • IoT Cloud Platforms and Services
  • Introduction to IoT cloud platforms (AWS IoT, Google Cloud IoT, etc.)
  • Connecting IoT devices to cloud services
  • Data storage, processing, and analytics on the cloud
  •  Edge Computing and Fog Computing
  • Understanding Edge Computing and its role in IoT
  • Implementing edge computing solutions for IoT applications
  • Fog Computing and distributed processing
  • IoT Prototyping and Hardware Integration
  • Designing and building IoT prototypes
  • Integrating sensors, actuators, and microcontrollers in projects
  • Testing and troubleshooting IoT hardware setups
  •  Wireless Connectivity and IoT Networks
  • Overview of wireless communication technologies (Wi-Fi, Bluetooth, LoRa, etc.)
  • Creating wireless IoT networks and mesh networks
  • Power considerations for battery-operated IoT devices
  •  Industry-Specific IoT Applications
  • IoT in healthcare, agriculture, smart cities, and industrial automation
  • Case studies and examples of successful IoT deployments
  • Tailoring IoT solutions for specific industries
  • Final Projects and Capstone
  • Applying IoT concepts to create a final project
  • Conducting a complete IoT solution with sensors, actuators, and data processing
  • Final project presentation and evaluation
  • Assessment:
  • Class participation and engagement
  • Hands-on IoT projects and prototypes
  • Mid-term and final IoT solution deployments
  • Final project presentation and evaluation
  • Erode Branch

    No 12B Second Floor, Ramasamy St, opp. Federal Bank, Erode

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