Skillsfuture for Digital Workplace 2.0 (Transportation Sector)

Funding Validity Period

7 September 2023

31 December 2027

Course Overview

This course is targeted at those in the transportation sector. We will cover all the technological advances in IT that are impacting or will impact the sector. Learners will be able to understand and apply digital tools to provide innovative services for managing different modes of transport and traffic.
They will also be able to perform analytics to create actionable insights from large volumes of data, better manage route planning and traffic flow. Learners will be able to apply automation tools and mobile apps to utilize the Digital Roadmap of the Land Transport Sector, digitalized operations, optimized resources, and digital payments. Finally, learners will learn about Generative AI, identify cybersecurity risks associated with the transportation sector, and mitigate those risks.

Skills Acquired

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 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).
Acquire knowledge of Generative AI and the know-how of prompts

Learning Modules

Learning Unit 1: Data Analytics

Introduction to SFDW
Digital Skills and Jobs Awareness for the Transportation Sector
Importance of Data Analytics in thecurrent and future digital economy for the Transportation Sector
Use data analytics and visualisation tools such as Excel PivotTable and Power BI to analyse transportation and travel data

Learning Unit 2: Automation

Introduction to Automation
Programmable Automation (3D printing and additive manufacturing tools for fabrication of
parts and customised items)
Conversational Automation, such as Google Assistant, Chatbots in government and
corporate websites, e.g. LTA, etc.
Using Power Automate to improve office productivity, e.g. fleet management and scheduling
Future trends for automation in the transportation workplace

Learning Unit 3: Cybersecurity Risk

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

Learning Unit 4: In-demand Digital Tools

Introduction to Industry 4.0
Artificial Intelligence in transportation sector, e.g. predictive fleet maintenance
Generative AI such as Gemini and Copilot in areas such as generating response to customer
queries or complaints, route planning, training plan for drivers, etc.
Basic concepts of Generative AI and its risks
How to design prompt
Nationally launched applications
Using VR and AR as well as autonomous road sweeper, driving simulators, etc.
Enhancing productivity and efficiency with self-drive vehicles
Explore upcoming digital technology and impact on how we work, live and interact

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

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)

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

Introduction to Data Analytics
Data visualisation tools

Who is this course is for

Academic prerequisites

Learners must be able to read, write, speak and understand English at Secondary school level
Learners to have minimum GCE ‘O’ level or ITE certificate education
Learner should have at least 1 year’s working experience in any industry
Learners must be able to operate a personal computer, use keyboard and mouse

Course Fees

Company Sponsored

Funding Type	Non Small Medium Enterprises	Small Medium Enterprises (SMEs) OR Singaporean Employees aged 40 years and above
Full Fee	$530	$530
Funding Amount	$371	$371
Fee After Funding	$159	$159
GST on Fee After Funding	$14.31	$14.31
Additional Funding	n.a	$106
Nett Fee Payable (incl. GST)	$173.31	$67.31

SME: Company registered or incorporated in Singapore AND employment size of not more than 200 or with annual sales turnover of not more than $100 million
Non-SME (MCES): Employee is Singaporean aged 40 years and above

Course Fee Funding:
SME: 70% of course fee + Additional 20% of course fee
Non-SME: 70% of course fee

Eligible for Absentee Payroll Funding
Eligible for SkillsFuture Enterprise Credit (SFEC)

$4.50 per training hour capped at $100,000 per enterprise per calendar year

Self Sponsored

Fees	Singapore Citizens (40 years and above)	Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above)
Full Fee	$530	$530
Funding Amount	$371	$371
Fee After Funding	$159	$159
GST on Fee After Funding	$14.31	$14.31
Additional Funding	$106	n.a
Nett Fee Payable (incl. GST)	$67.31	$173.31

MCES: Singaporean aged 40 years and above
Normal: Singaporean / PR aged 21 years and above

Course Fee Funding:

MCES: 70% of course fee + additional 20% of course fee
Normal: 70% of course fee

Eligible for UTAP funding
Eligible for SkillsFuture Credit