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IoT

IoT

Duration
45 Hours

Course Description

              The Internet of Things (IoT) describes a system of interconnected computing devices, objects, or "things" that can collect and exchange data over a network without requiring human-to-human or human-to-computer interaction. These "things" can range from everyday household objects to sophisticated industrial tools, all equipped with sensors, software, and other technologies to enable this data exchange. Essentially, IoT allows for the creation of a vast network where physical objects can communicate and interact with each other and with systems, leading to increased automation, efficiency, and data-driven insights. 

Course Outline For IoT

1. Introduction to IoT

  • Understanding IoT Fundamentals: Definition, characteristics, architecture, and the evolution of IoT.
  • IoT Architecture and Protocols: The different layers of an IoT architecture and the various communication protocols used.
  • IoT Components: A high-level overview of the key components of an IoT system, including sensors, actuators, hardware platforms, and software.
  • Real-world examples and case studies of IoT applications: Showcasing the diverse range of IoT solutions across various industries, like smart homes, agriculture, healthcare, and industrial IoT (IIoT). 

2. IoT hardware and devices

  • Microcontrollers and Embedded Platforms: Introduction to popular platforms like Arduino, Raspberry Pi, and NodeMCU, focusing on their architecture, capabilities, and programming.
  • Sensors and Actuators: Understanding the different types of sensors (temperature, humidity, motion, light, etc.) and actuators (motors, relays) and how to interface them with microcontrollers.
  • Basic Electronics Components: Identifying and troubleshooting components, understanding fundamentals, and working with tools like breadboards and measurement devices.
  • Embedded C Programming (for Arduino): Learning the basics of embedded C programming to control and manage Arduino-based IoT devices.
  • Python Programming (for Raspberry Pi): Introduction to Python programming and its application in developing IoT solutions on the Raspberry Pi platform. 

3. IoT communication and networking

  • Basics of Wireless Networking: Understanding the fundamentals of wireless communication technologies like Wi-Fi, Zigbee, and Bluetooth.
  • IoT Communication Protocols: Exploring various protocols like HTTP, MQTT, CoAP, and M2M for data exchange between IoT devices and platforms.
  • Network Layer Protocols: Understanding IP versions (IPv4, IPv6), Constrained Nodes, Constrained Networks, and 6LoWPAN.
  • Wired Communication: Ethernet/GigE, MIPI, M-PHY, UniPro, SPMI, BIF, SuperSpeed USB Inter-Chip (SSIC), and SPI.
  • Cellular Technologies: GSM, 2G, 3G, 4G, and 5G.
  • Other Protocols: IEEE 802.15.4, IEEE 802.15.4e, 802.11ah, Relay Access Point (AP), Grouping of station, and Target Wake Time (TWT). 

4. Cloud integration and data analytics

  • Cloud Computing Fundamentals: Understanding cloud architecture, benefits, and service models (SaaS, PaaS, IaaS).
  • IoT Cloud Platforms: Exploring platforms like ThingSpeak, AWS IoT, Google Firebase, and Azure IoT Hub for managing and storing IoT data.
  • Interfacing with Web Services: Connecting IoT devices to web services for data exchange and control.
  • Data Handling and Analytics: Collecting, processing, analyzing, and visualizing IoT data for actionable insights.
  • Introduction to Machine Learning and Python (optional): Applying basic machine learning concepts and Python programming for IoT data analysis. 

5. IoT security and privacy

  • IoT Security Challenges: Understanding the unique security and privacy concerns in IoT environments,
  • Security Mechanisms and Protocols: Learning about encryption, authentication, access control, and other measures to secure IoT devices and data,
  • Secure Coding Practices and Vulnerability Assessment: Best practices for secure IoT development and identifying potential vulnerabilities.
  • Privacy Preservation: Understanding regulations and techniques for protecting data privacy in IoT deployments. 

6. Real-world applications and project development

  • Case Studies and Industrial Applications: Exploring practical applications of IoT in various sectors and analyzing real-world scenarios.
  • Project-Based Learning: Hands-on experience in conceptualizing, designing, developing, and deploying IoT projects, such as smart street lights or home automation systems.
  • IoT Product Development and Testing: Understanding the process of developing and testing IoT solutions. 
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