Internet of Things


The Internet of Things Security Expert course is a 360° training program offered to students and professionals who seek to deepen their knowledge in the field of Internet of Things (IoT). The program is customized based on comprehensive knowledge about various IoT Security platforms. This program is designed by industry experts to provide hands-on training with tools that are used to speed up the training process.
The program is inclusive of full-fledged training, starting with Python and advanced IoT training to IoT security, all of which are found to be essential for IoT Security Experts. These modules together will provide a solid foundation and give a competitive edge in the learning process.

Note: The kit for this course is sold separately.

  • Training

    1 month Training, 1 Year access, Industry-Oriented, Self-Paced.

  • Certification

    Small & basic Objective MCQ type online exams.

  • Internship

    45 days Internship Completion letter post project submission on our GitLab. Projects are Industrial, Small and based on your training.

  • 1 year of Live Sessions by Experts

    Be a part of interactive webinars every weekend, by experts on cutting edge topics.

How It Works


  • Programming microcontrollers (Arduino, NodeMCU)
  • Building HTTP and MQTT based M2M networks
  • Interfacing Analog and Digital sensors with a microcontroller to learn real-time data acquisition, storage, and analysis on IoT endpoints and edges
  • Interfacing SD card with a microcontroller for data logging on IoT end devices using SPI protocol
  • Interfacing Real-time clock module with microcontrollers for time and date stamping using I2C protocol
  • Python exercises to check the quality of acquired data
  • Developing microcontroller-based applications to understand event-based real-time processing and in- memory computations
  • Setting up Raspberry Pi as Gateway to aggregate data from thin clients
  • Python programming on Raspberry Pi to analyze collected data
  • GPIO programming using Python and remote monitoring/control
  • Pushing collected data to cloud platforms
  • Designing sensor nodes to collect multiple parameters (Temperature, Humidity, etc.)
  • Uploading data on the local gateway as cache
  • Uploading data on cloud platforms
  • Monitoring and controlling devices using android user apps and Bluetooth interfaces
  • Building wireless sensor networks using WiFi
  • Sensor data uploading on the cloud using GSM/GPRS
  • Device to device communication using Lora modules
  • Remote controlling machines using cloud-based apps
  • Remote controlling machines using device-based apps through the cloud as an intermediate node
  • Interfacing Raspberry Pi with AWS IoT Gateway service to exchange messages
  • Interfacing Raspberry Pi with PUBNUB cloud to understand publish/subscribe architecture and MQTT protocol
  • Data cleaning, sub setting, and visualization
  • Set of python exercises to demonstrate descriptive and predictive analytics