Deep dive into Internet of Things (IoT) Training

• Defining IoT and Its Evolution
• Key Concepts and Components of IoT
• The Impact and Significance of IoT in Various Industries
• Overview of IoT Standardization Bodies and Relevant Standards
• IoT Data Models and Semantic Interoperability
• Role of OPC UA, OCF, and Other Engineering-Related Standards

• Data Privacy and Compliance Relevant to Engineering Projects
• IoT Regulations and Engineering Compliance Frameworks
• Ethical IoT Design and Usage in Engineering

IoT Architecture

• Layers for Engineers Perception Layer: Sensors and Actuators
• Network Layer: Connectivity Technologies (e.g., Wi-Fi, LoRa, Zigbee)
• Data Processing Layer: Microcontrollers and Embedded Systems
• Application Layer: IoT Platforms and Applications

IoT Devices and Hardware for Engineers

• Types of Sensors and Actuators (e.g., temperature, pressure, motors)
• Microcontroller Selection and Programming
• IoT Hardware Selection and Integration

• Understanding IoT Communication Protocols
• Hands-On with MQTT, CoAP, HTTP, and Other IoT Protocols
• IoT Network Topologies and Considerations for Engineering Projects

• Data Collection, Storage, and Processing for Engineering Applications
• Edge and Cloud Computing in IoT Engineering Projects
• Real-Time Data Analytics and Visualization
• Data Management Best Practices

• IoT Security Challenges in Engineering Projects
• Secure Device Configuration and Data Transmission
• Best Practices for Securing IoT Systems
• Data Privacy and Compliance (e.g., GDPR)

Programming Languages and Frameworks

• IoT Development with Embedded C, Python, and JavaScript
• Hands-On IoT Development Platforms (e.g., Arduino, Raspberry Pi)
• Developing IoT Applications using Frameworks (e.g., Node-RED)

Hands-On IoT Device Development for Engineers

• Building and Programming IoT Sensors and Actuators
• IoT Device Configuration and Integration into Engineering Projects
• Troubleshooting and Debugging

• IoT Applications in Manufacturing, Smart Buildings, Infrastructure, and More
• Case Studies of Successful IoT Engineering Projects
• Customized IoT Solutions for Engineering Challenges

• Edge Devices, Edge Analytics, and Engineering Projects
•  Fog Computing and Distributed Processing in Engineering Applications
• Reducing Latency and Enhancing Real-Time Decision-Making for Engineers

• Emerging IoT Technologies (e.g., 5G, LPWAN)
• AI and Machine Learning in Engineering IoT
• The Future of IoT in Engineering (6G, Quantum IoT)