This IoT course typically includes the following topics:

IoT Protocols:
Learning about communication protocols like MQTT, CoAP, and HTTP used in IoT systems.

IoT Hardware:
Exploring various IoT hardware components, including microcontrollers, sensors, and actuators.

IoT Connectivity:
Understanding wireless technologies like Wi-Fi, Bluetooth, Zigbee, and LoRa for device communication.

Data Processing:
Covering data aggregation, preprocessing, and edge computing for efficient data handling.

IoT Security:
Discussing security measures such as encryption, authentication, and access control in IoT systems.

Cloud Integration:
Connecting IoT devices to cloud platforms like AWS IoT, Azure IoT, or Google Cloud IoT.

IoT Data Analytics:
Utilizing data analytics tools and techniques to extract meaningful insights from IoT data.

IoT Application Development:
Building IoT applications and integrating them with web and mobile platforms.

IoT Prototyping:
Hands-on experience with developing IoT projects, from concept to implementation.

IoT Project Management:
Managing IoT projects, considering scalability and maintenance.

Regulatory Compliance:
Understanding legal and compliance issues related to IoT data and devices.

Emerging Trends:
Exploring advanced topics such as edge computing, AI integration, and 5G in IoT.

The curriculum focuses on providing students with a deeper understanding of IoT concepts, tools, and practical skills for developing and managing IoT solutions.