SkillsFuture for Digital Workplace 2.0 Manufacturing (Classroom + Asynchronous E-learning)

TGS-2023037502

Course Overview

This course is targeted at those in the manufacturing sector. Learners will learn about key technological advances that are impacting or will impact the sector. There will be interactive experiences for learners to engage with technologies, such as Chatbots, 3D printing, Virtual Reality (using goggles), and mobile app usage. Learners will be introduced to security risks associated with using emerging technologies and how to mitigate those risks.

Learners will understand and apply digital tools for the manufacturing sector, such as additive manufacturing and augmented reality. They will also use analytics to understand operational insights and utilize AI, Generative AI and robotic tools in a manufacturing environment.


Training Type

Full Time


Course Duration

2 Days


Total Training Duration (Hour)

15


Course Outline

In-demand Digital Tools

  •  Introduction to SFDW and digital skills and jobs awareness in the current and future digital economy​
  •  The world of Industry 4.0, extended reality and additive manufacturing​
  •  Basic concepts of Generative Artificial Intelligence​
  •  Identify risks associate with and responsible use of Generative AI​
  •  How to design prompt​
  •  Generative Artificial Intelligence Sandbox initiative by Infocomm Media Development Authority (IMDA)​
  •  Hands-on practice of Generative AI such as Gemini and Copilot in areas such as generating response to customer queries or complaints, create course outlines, etc​
  •  Autonomous Robots and Internet of Things and their impact across sectors​
  •  Nationally launched applications​
  •  Develop a learning plan to take ownership of own skills upgrading​

Cybersecurity Risk

  •  Introduction to Cybersecurity Risk​
  •  Areas of cybersecurity risk and its implication and effect to the individual and organization​
  •  How to mitigate cybersecurity risks? (physical, software, policy and regulatory)​

Automation

  •  Introduction to Automation​
  •  Types of automation tools such as Robotic Process Automation (RPA)​

Data Analytics

  •  Introduction to Data Analytics​
  •  Data visualisation tools


Course Learning Outcome

By the end of this course, learners will be able to:

  • State the jobs and digital skills required in the current and future digital economy
  • Describe the work requirements in a technology-rich environment and know the associated cybersecurity risks
  • Identify various digital applications and tools in work applications, including widely applicable national and sectoral platforms
  • Suggest how data and information can be used
  • Perform functional outcomes such as the use of digital tools, including Generative AI, and software to access various learning paths and content
  • Develop a post-course action plan to continue learning (i.e., to identify courses that would allow participants to further deepen their skills in the four key areas)



Funding Information

07 Sep 2023 To 30 Jun 2025


Price
Course Fee Payable
Original Fee Before GST With GST (9%)
Course Fee $500.00 $545.00
Individual Pricing (Fee payable to Training Provider) Before GST With GST (9%)
SFDW Individual (Baseline) $150.00 $163.50
SFDW Individual (MCES) $50.00 $63.50
Corporate Pricing (Fee payable to Training Provider)
Non-SME Before GST With GST (9%)
SFDW Non-SME (Baseline) $150.00 $163.50
SFDW Non-SME (SGC Age 40 and above) $50.00 $63.50
SME Before GST With GST (9%)
SFDW SME $50.00 $63.50

Please note that prices are subjected to change.
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