IOT Basics to Advance

This three-day training program on the Internet of Things (IoT) covers the foundational concepts to advanced applications of IoT technology. Participants will learn about IoT architecture, components, protocols, data management, and security considerations, along with practical hands-on sessions to build and deploy IoT solutions..

IOT corporate training and certification oriented remote program aims to upskill you with IoT Development, Sensor Data Handling, Network Communication, Data Analytics, Security Implementation

Course Prerequisites

• Basic understanding of programming and networking
• Familiarity with electronics and embedded systems (preferred but not required)

Course Content

Introduction to IoT and Basic Components

• Introduction to IoT

  • Overview of IoT

  • Applications and use cases

  • IoT architecture and ecosystem

• IoT Hardware Components Overview

  • Sensors and actuators

  • Microcontrollers and development boards (e.g., Arduino, Raspberry Pi)

  • Communication modules (e.g., Wi-Fi, Bluetooth, Zigbee)

• Setting Up the Development Environment

  • Introduction to development boards

  • Installing necessary software and tools

  • Basic programming for IoT devices

• Sensor Integration

  • Types of sensors and their applications

  • Interfacing sensors with microcontrollers

  • Reading and processing sensor data

IoT Communication and Data Management

• IoT Communication Protocols

  • Overview of communication protocols 

  • Selecting the right protocol for your application

• Networking in IoT

  • IoT network architecture

  • Connectivity options (e.g., Wi-Fi, LPWAN, cellular)

  • Setting up and managing IoT networks

• Data Management and Storage

  • Collecting and storing IoT data

  • Introduction to cloud platforms for IoT (e.g., AWS IoT, Azure IoT, Google Cloud IoT)

  • Data processing and analytics

• Data Visualization and Analytics

  • Visualizing IoT data

  • Tools and platforms for data visualization

  • Basic data analytics techniques for IoT

Advanced IoT Applications and Security

• Introduction to IoT

  • Overview of IoT

  • Applications and use cases

  • IoT architecture and ecosystem

• IoT Hardware Components Overview

  • Sensors and actuators

  • Microcontrollers and development boards (e.g., Arduino, Raspberry Pi)

  • Communication modules (e.g., Wi-Fi, Bluetooth, Zigbee)

• Setting Up the Development Environment

  • Introduction to development boards

  • Installing necessary software and tools

  • Basic programming for IoT devices

• Sensor Integration

  • Types of sensors and their applications

  • Interfacing sensors with microcontrollers

  • Reading and processing sensor data

• IoT Communication Protocols

  • Overview of communication protocols 

  • Selecting the right protocol for your application

• Networking in IoT

  • IoT network architecture

  • Connectivity options (e.g., Wi-Fi, LPWAN, cellular)

  • Setting up and managing IoT networks

• Data Management and Storage

  • Collecting and storing IoT data

  • Introduction to cloud platforms for IoT (e.g., AWS IoT, Azure IoT, Google Cloud IoT)

  • Data processing and analytics

• Data Visualization and Analytics

  • Visualizing IoT data

  • Tools and platforms for data visualization

  • Basic data analytics techniques for IoT

• IoT Security

  • Importance of security in IoT

  • Common IoT security threats and vulnerabilities

  • Implementing security measures for IoT devices and data

• Advanced IoT Applications

  • Integrating IoT with machine learning

  • Edge computing in IoT

  • Case studies of advanced IoT solutions

• Building End-to-End IoT Solutions

  • Designing an IoT solution from scratch

  • Integrating sensors, communication, and data management

  • Deploying and managing IoT solutions

• Summary and Conclusion

  • Recap of key concepts

  • Discussion on future trends in IoT

  • Next steps and further learning resources