Learning ABCD as Tech Savvy Professionals (vLearn Programme) - HKPC Academy
Learning ABCD as Tech Savvy Professionals (vLearn Programme)
10013831-05
HKPC Building 78 Tat Chee Avenue Kowloon
Mr LAU 2788-5668 | Ms LEE 2788-5754
boscolau@hkpc.org
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Programme Highlights

  • To Enable non-tech background staff to gain basic understanding on the latest technology trends in ABCD (AI, Blockchain, Cloud, Big Data)
  • To be inspired by different examples and case studies on how other businesses of different industries are using these technologies

Why Tech for non-Tech?

The 4 technology fundamentals, namely AI, Blockchain, Cloud, Big Data, will play a major role in shaping future leaders over the next decade and beyond. Not only IT professionals are required to keep up with the tech trends but also business professionals would need to understand the tech foundations in order to drive business results and innovations.

If you consider yourself “non-technical,” don’t let that hold you back from the digital transformation era. The Tech for non-tech video series are made for you to start your digital journey!

Click here and learn more about the video series.

Course Fee

HK$500 / User Account* (After subsidised)

*10% off discount for members from supporting organisations

Note: Only members from supporting organizations can be eligible to the above special discount. The Academy reserves the right to require proper proof of membership identity; and cancel at our sole discretion for any booking that have been made for false, fraudulent or unauthorized purposes.

 

Programme Duration

Minimum 4 hours divided into several learning sessions

Mode

HKPC Academy vLearn Platform

Medium

Cantonese with Chinese subtitle

(Supplemented by English)

Course Structure

Tech for non-tech series: Artificial Intelligence (AI) 101 [1-hour]
  • Introduction to basic understanding of AI to stay competitive and relevant
  • Introduction of the difference between AI and traditional computer programming
  • Explain the key AI algorithms and concepts including: machine learning, deep neural network, reinforcement learning using experiential exercises and general terms that professionals can easily relate to
  • Highlight some applications and case examples on how AI is used in the property industry in Hong Kong and rest of the world
  • Stimulate group discussions on the issues and limitations in AI technologies such as ethics, inclusion, job loss, privacy, etc.
Tech for non-tech series: Blockchain 101 [1-hour]
  • Introduction to basic understanding of blockchain to stay competitive and relevant
  • Introduction of the differences between blockchain based network (Internet of Value) and traditional Internet (Internet of information)
  • Explain the key blockchain concepts including: decentralization, mining/consensus, cryptography, token, smart contract, and DAPP using experiential exercises
  • Highlight some applications and case examples on how blockchain are used in various industries in Hong Kong and rest of the world
  • Stimulate group discussions on the issues and limitations in blockchain technologies such as privacy, rights to record, interoperability, etc.
Tech for non-tech series: Cloud Computing 101 [1-hour]
  • Introduction to basic understanding of the evolution of cloud computing to stay competitive and relevant
  • Introduction of the differences between Cloud based vs traditional client-server-based computing to non-tech professionals
  • Introduce the key Cloud computing concepts including: distributed computing, virtualization, SaaS, private/public/hybrid cloud using experiential exercises and general terms that non-tech professionals can easily relate to
  • Highlight some applications and case examples on how cloud computing is used in industries in Hong Kong and rest of the world
  • Issues and limitations in cloud computing technologies such as ethics, privacy, inclusion, etc.
Tech for non-tech series: Big Data 101 [1-hour]
  • Introduction to basic understanding of Big Data to stay competitive and relevant
  • Introduction of the differences between Big Data analytics and traditional data analysis (e.g. Excel), and its impact to traditional industries
  • Introduce the concept of key Big Data concepts, using experiential exercises and general terms that non-tech professionals can easily relate to
  • Highlight some applications and case examples on how Big Data are used in non-tech industry
  • Issues and limitations in Big Data technologies in development and management such as ethics, privacy, data management, etc.

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