IOT Training Courses

Most academic and certificate programs structure their IoT curriculum into the following primary units:

• Introduction and Architecture: Covers IoT definitions, history, and characteristics. It introduces the 5-layer IoT architecture, core functional stacks (data management, control), and standardized designs such as oneM2M.
• Physical Hardware and Sensing: Includes basic electrical theory (Ohm’s Law, breadboard wiring) and detailed study of sensors (temperature, humidity, motion, light, gas) and actuators (relays, servo motors).
• Communication Protocols: Focuses on how "things" communicate using various technologies:
  • Access Technologies: IEEE 802.15.4, 802.11ah, Lora WAN, BLE, and Zigbee.
  • Messaging Protocols: CoAP, MQTT, AMQP, and HTTP.
  • Network Layer: IPv4, IPv6, 6LoWPAN, and 6TiSCH.
• Prototyping Platforms: Hands-on instruction using development boards:
  • Arduino: Architecture, IDE setup, and interfacing.
  • Raspberry Pi: Programming with Python, Node-RED integration, and use as an IoT gateway.
  • ESP8266 / ESP32: WiFi-enabled microcontrollers for cloud connectivity.
• Cloud Integration and Data Analytics: Virtualization concepts, cloud service models (SaaS, PaaS, IaaS), and specific platforms like ThingSpeak, Cayenne, and Ubidots. Advanced courses include big data handling, edge/fog computing, and visualization tools.
• IoT Security: Addresses unique challenges like malware propagation, trust models, computational security, and authentication protocols specific to access networks.

Practical Implementation and Use Cases

Hands-on laboratory sessions are standard, often involving individual or group projects to build complete IoT solutions:

• Programming: Basics of C, C++, or Python.
• Electronics: Fundamental understanding of digital and basic analog electronics.
• Networking: Knowledge of microprocessors, microcontrollers, and general networking concepts.