Overview

Participants will be equipped with industry-relevant skillset of working with popular hardware (Arduino Uno, NodeMCU and Raspberry Pi), send data to IoT platform with various communication protocol, design and build IoT project.

Learning Outcome

At the end of this course, participants will:
  • Gain knowledge on the overview concepts and main components of IoT Acquire knowledge on machine learning techniques: Supervised, Unsupervised & Reinforcement Learning
  • Acquire knowledge on how to interpret product datasheet and identify key specifications of the product
  • Acquire programming skills (Arduino) for IoT
  • Get skilled in writing program to interact with the sensors to accomplish set tasks
  • Be intensively familiar with the role of data mining, business analytics and big data technologies in IoT
  • Obtain skills to set up Raspberry Pi, run Node-Red interface and send message using Raspberry Pi through MQTT

Who should Attend?

  • IT Executives/Managers
  • Risk Analyst/Management
  • Business Analyst
  • Data Analyst
  • Banking Executives/Managers
  • Software Engineers
  • System Engineers

Eligibility Criteria

2 years experience (recommended)

  • Software development
  • Business domain
  • Data/business analytics
This course is endorsed underCritical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer toProgramme Support under CITREP+ page

Information as accurate as of 20 May 2021