Company and Workforce Transformation

CWT Micro-Learning Package - WLP Isometric 1

Micro-Learning Package

CWT Micro-Learning Package - WLP Micro I4.0

Is your company journeying towards Industry 4.0 (I4.0) transformation and wanting your workforce to understand the purpose and benefits of I4.0 so that they will embrace this change positively? More than that, you hope that they can learn without being absent from work.

If YES, you will be pleased to know that the Singapore Polytechnic has carefully designed a Micro-Learning Course covering 10 topics on I4.0 that align with the Singapore Smart Industry Readiness Index (SIRI) launched by EDB.

Read More About SIRI

Course Objective

The Micro-Learning Course on Advanced Manufacturing aims to help your workforce appreciate the practical benefits and applications of I4.0 and understand how it can help a company gain a competitive edge. They will also understand that I4.0 is not a subtractive force by taking away their jobs but to help them scale up the value-add chain. Accessible by PC or any handheld devices, your workforce can learn anytime and anywhere!

CWT Micro-Learning Package - WLP Elearning

Course Outline

4 month access to SP Learning Management System

Open to Singaporeans, PRs and Foreigners

Compatible with PC/handheld devices

Comprise 10 Topics. Each Topic has 3 modules

Tailored for 2 Groups of Audiences: 

  • Engineers/Managers
  • Shopfloor Workers (Available in English and Mandarin)
CWT Micro-Learning Package - WLP Diagram

Topic 1: Introduction in Advanced Manufacturing

Gain an appreciation of the different technologies for Advanced Manufacturing, and understand how it can benefit Univac’s operations.

New digital technologies have made it possible to dramatically increase manufacturing productivity, enabling faster, more efficient and flexible processes to produce goods which are higher-quality, yet cost less. This module will give an overview of the technologies (Connectivity, Intelligence & Automation) for advanced manufacturing. These components will be aligned to the Smart Industry Readiness Index released by EDB and TUV SUD.

Topic 2: Industrial IoT

Appreciate what IIoT is, and its benefits.

This module will cover key areas of using connected devices for the purpose of collecting and sending manufacturing data. This includes the use of intelligent sensors, and how it can be integrated for machines on the shopfloor. Examples will be used to illustrate how it can be applied, and bring benefit to manufacturing operations.

Topic 3: Industrial Networks

Overview of industrial networks and the considerations to design the network structure and its communications in industry applications.

This course introduces industrial networks, device interfaces and data transportation where networked-machines are engaged in industrial data communication. It also introduces sample network structures and working protocols to illustrate how to enable internetworking and data exchange in automation systems.

Topic 4: Cyber Security

Overview of the role and significance of cyber-security in manufacturing environment.

This course introduces cyber security for network used in manufacturing environment, and what are some of the typical network vulnerabilities. It will also introduce approaches in defending against cyber security threats.

Topic 5: AI & Machine Learning

Appreciation of how AI and Machine Learning can be used for manufacturing applications.

This course will provide an introductory understanding of AI and Machine Learning applications. Potential industrial applications and solutions that can incorporate AI & ML technologies will be included.

Topic 6: Manufacturing Analytics

Overview of data analytics and how it can be used to improve manufacturing operations and productivity.

This course introduces how data collected from the manufacturing shop floor can be used for various applications. Through data, we can gain better visibility of the machine performance, gain predictability of the process, and eventually full transparency of the entire facility operations.

Topic 7: Data Traceability

Understand the importance of traceability in manufacturing, and how technology enables tracking.

This course will emphasize the importance of traceability for production and risk management. In addition, it will cover examples of how industry 4.0 solutions can be used to collect, store and process the data needed for lot tracking and tracing.

Topic 8: Quality Management

Overview of how technology can improve quality management to achieve zero-defect manufacturing.

This course introduces how the company is able to take advantage of digital technologies to improve quality management. This include concepts such as digital documentation/checklist, real-time quality data acquisition/monitoring, and quality improvement through data analysis.

Topic 9: Robotics

Appreciation of how Robotics and Automation can improve productivity for manufacturing operations.

This course will provide an overview of robotic technologies relevant for manufacturing operations. It will include concepts such as human-robot cooperation, autonomous robots and AGVs and automation systems.

Topic 10: Enterprise Automation

Overview of automation pyramid, and how vertical integration can be achieved.

This course will introduce the automation pyramid, and how it provides a hierarchical structure that allows the various technology and systems used for planning, managing, and assessing the value creation process to be assigned to the various levels of the company.

Attractive Pricing

A company is entitled up to 70% funding or $4,200 funding from SSG (whichever is lower applies). You are only required to pay the Singapore Polytechnic the nett amount (after subsidy) i.e. For 30 accounts, a company pays only $666!

Price model, as appended, is before subsidy from SSG:

  • For 30 accounts or less: Flat fee of $1,800

  • For 31 to 100 accounts: $60/account

  • Additional account above 100: $25/account

If you would like a quotation to be emailed to you, please fill in this form.


To get a taste of the Micro-Learning course, you may view the following samples:


For any queries, please contact the following personnel

Charlotte Lee

6879 0618

Rachel Lou

6870 4624

Learn More

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