EdgeAI System for Industry 4.0 applications and beyond

Industry 4.0 brings about transformational changes to the manufacturing landscape, from productivity, operational efficiency to quality control. These smart factories are deploying IoT sensors and devices to collect huge amount of data via cloud computing, equipped with AI analytics tools, to derive useful production insights.

This course covers fundamental concepts of edge AI technology and how it is being deployed for real-life industrial applications related to I4.0 and beyond.

Learning objectives:

At the end of the programme, you would be able to:

  • Explain the basics of neural network training
  • Describe how ANN and CNN machine learning works
  • Apply deep learning training for supervised learning in object classification
  • Explain the basics of Edge AI Platform and Applications
  • Describe how VitisAI and Model Zoo for machine learning works
  • Explain the components of Edge AI Board Hardware
  • Utilise linux script to run an AI programme on the EdgeAI board

Course Prerequisites:

Learners are expected to be able to:

  • Have basic know-how on electronics to make sense of the course.
  • Own and have basic knowledge of operating a computer
  • Must be able to run command shell

Course fee:

This is a course under the SkillsFuture series for Singapore Citizens (SC) and Singapore Permanent Residents (PR). The course fees is inclusive of venue and course materials. Certificate of participation will be provided for participants who have attended 75% of the course.

EdgeAI System for Industry 4.0 applications and beyond

Industry 4.0 brings about transformational changes to the manufacturing landscape, from productivity, operational efficiency to quality control. These smart factories are deploying IoT sensors and devices like cameras on the factory floor to collect huge amount of data that is live streamed via cloud computing, equipped with AI analytics tools, to derive useful production insights. With the ever-increasing sensor deployment and big data collected, coupled with growing privacy and cyberattack risk concern, edge AI will overcome these challenges and offer more immense benefits to Industry 4.0 and beyond like facial and suspicious object recognition in security and surveillance, autonomous robots and drones in the healthcare and logistics sectors.

Learning objectives:

  • This course covers fundamental concepts of edge AI technology and how it is being deployed for real-life industrial applications related to I4.0 and beyond. It would reinforce its usefulness in providing real-time prediction, using structured data like manufactured product / facial image, to give participants a comprehensive insight into how best to adapt this methodology for their specific needs
  • Edge AI technology would reinforce its usefulness in providing real-time prediction and using structured data like manufactured product and facial image to give participants a comprehensive insigh into how best to adapt this methodology for their specific needs.

Course fee:

This is a course under the SkillsFuture series for Singapore Citizens (SC) and Singapore Permanent Residents (PR). The course fees is inclusive of venue and course materials. Certificate of participation will be provided for participants who have attended 75% of the course.

EduTech_ASIA 2022

Asia’s largest conference and exhibition for educators and EdTech providers
Join us at EduTech_ASIA 2022 brought to you by Planetspark (an Excelpoint Group Company)