The Internet of Things (IoT) is beginning to grow significantly, as consumers, businesses, and governments recognize the benefit of connecting IoT devices to the internet. We are entering the era of the connected business model. Potentially, any asset, person, product, process, or source of data can be connected, making a reality of the long forecast connected house, car, factory and ecosystem. Smaller and cheaper sensors—embedded technology in products like cars, oil wells, wearables, and business processes—will become the norm over the next decade. All this connectedness has the potential to radically change business models and the competitive landscape.

Learning Outcome

  • Business Overview of IoT Middleware for Machine learning for Intelligent IoT
  • Data Science for Intelligent IoT
  • Analytic engine for IoT
  • Big data platform for IoT
  • API design considerations for IoT
  • IoT standards
  • Management of IoT

Who should Attend?

  • Cloud Operations Engineer
  • Senior Cloud Operations Engineer
  • Data Analyst – Statistics and Mining
  • Data Analyst – Text Analytics
  • Operations Research Analyst
  • IT Consultant
  • Project Manager
  • Technology Planners
  • Functional Managers
  • IT Architects
  • Business Process Owners
  • Business Analysts

Eligibility Criteria

  • Participants are preferred to have min. 2 years of experience in software development, business domain or data/business analysis.
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page

Information as accurate as of 12 September 2019