Internet Of Things

About Course

The Internet of Things (IoT) course provides a comprehensive understanding of the interconnected world of smart devices and systems. It covers the fundamentals of IoT architecture, including sensors, communication protocols, and data processing. Students will learn how these components interact to create seamless networks that collect, exchange, and analyze data. The course emphasizes the practical applications of IoT in various industries, such as smart homes, healthcare, and industrial automation.

In addition to theoretical knowledge, the course includes hands-on projects that enable students to design and implement IoT solutions. These projects help in mastering the use of popular IoT platforms and tools, such as Arduino, Raspberry Pi, and cloud services. Students will also explore security challenges and ethical considerations in IoT deployments. By the end of the course, participants will be equipped with the skills needed to contribute to the rapidly growing IoT ecosystem, driving innovation in technology and industry.

Course Content

Module 1: Introduction to IoT

Overview of IoT: concepts, architecture, and applications.

00:00
Key components of IoT systems: sensors, actuators, and gateways.

00:00
IoT communication protocols: MQTT, CoAP, and HTTP.

00:00

Module 2: IoT Hardware and Sensors

Module 3: IoT Networking and Communication

Module 4: IoT Cloud Platforms

Module 5: IoT Security and Privacy

Module 6: Advanced Topics in IoT

**Module 7: Project 1: Building a Smart Home Automation System

**Module 8: Project 2: Industrial IoT (IIoT) Application Development

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About Course

Course Content

Module 1: Introduction to IoT

Overview of IoT: concepts, architecture, and applications.

Key components of IoT systems: sensors, actuators, and gateways.

IoT communication protocols: MQTT, CoAP, and HTTP.

Module 2: IoT Hardware and Sensors

Introduction to popular IoT hardware platforms: Arduino, Raspberry Pi, and ESP8266.

Interfacing sensors and actuators with IoT hardware

Sensor data acquisition, processing, and transmission.

Module 3: IoT Networking and Communication

IoT network architectures: star, mesh, and hybrid topologies

Implementing wireless communication protocols: Zigbee, Bluetooth, and Wi-Fi.

Introduction to LPWAN technologies: LoRaWAN and NB-IoT.

Module 4: IoT Cloud Platforms

Overview of IoT cloud platforms: AWS IoT, Google Cloud IoT, and Azure IoT Hub.

Connecting IoT devices to cloud platforms and data storage.

Implementing IoT analytics and data visualization in the cloud.

Module 5: IoT Security and Privacy

Security challenges in IoT: authentication, encryption, and access control.

Implementing secure communication and data protection in IoT systems.

Privacy concerns and regulations in IoT (e.g., GDPR, HIPAA).

Module 6: Advanced Topics in IoT

Edge computing and fog computing in IoT.

Integrating AI/ML in IoT for predictive maintenance and automation.

IoT system scalability and performance optimization.

**Module 7: Project 1: Building a Smart Home Automation System

Designing and implementing a smart home system with IoT devices

Integrating sensors, actuators, and cloud services for automation.

Testing and deploying the smart home system in a real-world environment.

**Module 8: Project 2: Industrial IoT (IIoT) Application Development

Developing an IIoT system for monitoring and control in an industrial setting.

Implementing real-time data acquisition and analytics.

Ensuring scalability, security, and reliability of the IIoT system.

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