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IOT Training in Chandigarh

IoT Training-

The Internet of Things has the potential to change the world, just as the Internet did. Maybe even more so.By 2020 the reach of IoT will be double size of the smartphone, PC, tablet, connected car, and the wearable market combined. IoT is an overall field where everyone right from the domain of electronics to mechanical and computer science can find a place. But there’s a catch: To get the best jobs, you’ll need the right skills and plenty of experience. Understand more about Internet of Things (IoT) and analytics through comprehensive, real-time, hands-on experience training.

All our IoT training modules have been designed by industry experts with case studies. These will help professionals become immediately relevant and employable by companies looking to hire for an IoT-ready workforce. Below is details about our certification Training:

Part-1 (IoT Professional Training):
Module1: IoT for Beginners
  • Introduction to IoT
  • Working with the IoT
  • Getting Started with the IoT
Module2: IoT from the Ground Up– Using Arduino
  • Getting Started with Arduino
  • Sensors, Signals & Electronics
  • Microcontroller Concepts
  • Basic Networking with nodemcu
  • Advanced Microcontroller Concepts
Module 3: Powering IoT– Using The Raspberry Pi
  • Getting Started with Raspberry Pi
  • Interfacing Hardware with the Raspberry Pi
  • Machine-to-machine Communication
  • Multimedia Concepts
  • Speech Processing Concepts
  • Image Processing Concepts
Module 4: IoT and the Cloud
  • Deploying to the Cloud
  • Platform-as-a-service
  • Infrastructure-as-a-service
  • Microservices using Docker
  • Connectivity Beyond Wi-Fi
Part-2 (IoT Analyst Training):
Module 5: . Introduction to IoT Analytics
  • A comprehensive understanding of the role of analytics in IoT
  • Emphasis on practical applications through understanding of IoT data KPIs
  • Review of specific IoT analytics algorithms used for streaming data analytics
  • Complex Event Processing
  • Basic Streaming Analytics Algorithms
Module 6: Data Science for IoT
  • An understanding of IoT Data reference architecture
  • Ability to apply IoT Analytics framework
  • Understanding of specific steps in the IoT analytics framework, including data acquisition, data cleaning, EDA, data preparation, and analysis
  • Hands on practice with multiple IoT datasets
Module 7: Advanced IoT Analytics
  • Application of advanced analytics and ML algorithms to IoT data
  • Knowledge of building and implementing data analytics models as part of IoT solutions
  • Understanding of algorithm choice given the IoT business problem
  • IoT Data Clustering