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New Education and Training Model (NETM) Micro-credentials

An industry driven approach to learning,
ensuring learners build useful skills that employers need.

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Advance your skills

Skills Lab has partnered with the NSW Government under their New Education and Training Model (NETM) to deliver a set of new industry-driven micro-credentials to the Western Parkland City area.

Home to one third of Sydney’s workforce, the Western Parkland City is the economic powerhouse of Australia. With a forecast population of 1.4 million by 2036, it is one of Australia’s fastest growing urban areas. 

The NETM offers industry-led flexible pathways to deliver the skills needed as the Western Parkland City evolves. It will help to shape participants’ learning journeys and create new job opportunities, enabling learners to set up their career, take the next step, or pivot to a new industry.

 

Skills Lab's NETM Micro-credentials

Skills’s Lab’s five NETM micro-credentials are tailored to support operators, electricians, and programmers as they navigate these new digital environments, and prepare them for what’s next. See the five micro-credentials below: 

Industrial automation has significantly changed in recent years through digitalisation and the resulting convergence of operational technology (OT) and information technology (IT).

Accessing sites remotely, rather than attending in person, is common practice while data is often now stored in cloud-based systems.

 

Intended Audience 

This course is best suited to electricians or those working in a similar field. 

 

Content

The industrial automation industry now requires electricians to understand the different hardware used in modern control systems, along with the ability to troubleshoot the software and the incoming and outgoing signals. After completing this micro-credential, learners will be able to:

  • Connect and configure control system hardware, such as PLCs, RTUs, radios, and edge gateways.

  • Understand industry-leading industrial communication protocols, including their benefits and limitations.

  • Install, maintain, and fault-find industrial automation hardware.

  • Fault-find and troubleshoot control system software.

  • Understand the value of utilising data and analytics to support predictive maintenance.

 

Pre-requisites 

There are no prerequisites for this course. 

 

Training Style 

All course materials and activities will be accessed through Skill Lab's learning management system and the training will be facilitated in real-time using our cyber physical capability. Our cyber physical training provides live, face-to-face training from your home or office while ensuring an authentic in-lab experience. Students gain supervised remote access to state-of-the-art industry equipment, just as if they were sitting together in the Lab doing all the required practical industry learning.

 

Materials 

All course materials will be provided electronically using the Skills Lab online learning management system. 

 

Volume of Learning 

This micro-credential will involve a volume of learning of approximately 40 hours of student effort. 

 

Digital badge and certificates

On successful completion of the micro-credential assessment tasks, you will be issued with a Skills Lab digital badge to recognise your achievement. 

 

Training Dates

Block 1 Course Dates:
  • 19th Jun 2023 – 23rd Jun 2023

 

Block 2 Course Dates:
  • 31st Jul 2023 – 04th Aug 2023

 

Block 3 Course Dates:
  • 11th Sep 2023 – 15th Sep 2023

 

Block 4 Course Dates:
  • 23rd Oct 2023 – 27th Oct 2023

 

Block 5 Course Dates:
  • 04th Dec 2023 – 08th Dec 2023

 

Please note this micro-credential is currently open to residents of NSW only. Evidence of NSW residence will be required at the time of enrolment.

 

Register Now

 

Industrial automation has significantly changed in recent years through digitalisation and the resulting convergence of operational technology (OT) and information technology (IT).

Accessing sites remotely, rather than attending in person, is common practice while data is often now stored in cloud-based systems.

 

Intended Audience 

This course is best suited to engineers, programmers or those with a background in programming or a similar field. 

 

Content 

In addition to industry-standard programming techniques, knowledge of edge devices, networking, and cyber security is becoming essential for programmers working with modern industrial automation. At the completion of this micro-credential, learners will be able to:

  • Understand the impact modern industrial automation systems have on organisational processes.

  • Understand the differences between OT and IT systems, how they communicate, and how to mitigate risks.

  • Program industrial control systems using advanced programming languages.

  • Connect and configure an edge device to send process data from the plant to a cloud-based system.

  • Create dashboards and query process data in order to extract meaningful information.

  • Fault find and troubleshoot all aspects of the control system architecture.

 

Pre-requisites 

There are no prerequisites for this course. 

 

Training Style 

All course materials and activities will be accessed through Skill Lab's learning management system and the training will be facilitated in real-time using our cyber physical capability. Our cyber physical training provides live, face-to-face training from your home or office while ensuring an authentic in-lab experience. Students gain supervised remote access to state-of-the-art industry equipment, just as if they were sitting together in the Lab doing all the required practical industry learning.

 

Materials 

All course materials will be provided electronically using the Skills Lab online learning management system. 

 

Volume of Learning 

This micro-credential will involve a volume of learning of approximately 40 hours of student effort. 

 

Digital badge and certificates

On successful completion of the micro-credential assessment tasks, you will be issued with a Skills Lab digital badge to recognise your achievement. 

 

Training Dates


Block 1 Course Dates:
  • 03rd Jul 23 – 07th Jul 23

Block 2 Course Dates:
  • 14th Aug 23 – 18th Aug 23

Block 3 Course Dates:
  • 25th Sep 23 – 29th Sep 23

Block 4 Course Dates:
  • 06th Nov 23 – 10th Nov 23

Block 5 Course Dates:
  • 11th Dec 23 – 15th Dec 23
 

Please note this micro-credential is currently open to residents of NSW only. Evidence of NSW residence will be required at the time of enrolment.

 

Register Now

With an increasing need to minimise product loss and drive savings by leveraging Industry 4.0 trends, Skills Lab have created a new micro-credential to enhance the traceability of goods and supply chain visibility. 

This micro-credential covers the concepts of traceability in manufacturing, marking (barcode or RFID), verification and implementation of these systems in Industry 4.0 connected manufacturing environments.

Training will be delivered face to face using an advanced traceability work cell using Omron PLCs and verification equipment, however, training outcomes are designed to be relevant to all industry standards.

 

Intended Audience 

  • Tradespeople seeking career progression in supply chain roles;

  • Buyers and purchasers;

  • Cargo handlers;

  • Warehouse operators;

  • Supply chain specialists;

  • Industrial, mechanical and production engineers; and

  • Supply chain and manufacturing business owners, leaders and decision-makers 

 

Content 

Through this micro-credential, learners will gain theoretical knowledge and the practical know-how to implement the traceability process with the use of technology.  At the completion of this micro-credential, learners will be able to:

  • Understand what traceability is, including how to use the inputs to achieve and maximise outputs;

  • Understand the principles of supply chain traceability and the applicable legislative obligations nationally and internationally (International Electrotechnical Commission (IEC)1 and GS12 standards);

  • Develop and implement a supply chain traceability strategy;  

  • Apply Industry 4.0 processes including data analytics, databasing and Internet of Things (IoT) in data collection and documentation to support supply chain traceability;  

  • Understand risks and apply cybersecurity measures for traceability data protection; and  

  • Translate supply chain traceability into sales and operations planning and process optimisation. 

 

Pre-requisites 

There are no prerequisites for this micro-credential, however, learners should have a basic understanding of warehouse and/or manufacturing operations.

 

Training Style 

All course materials and activities will be accessed through Skill Lab's learning management system and the training will be facilitated face-to-face in Sydney as a 5-day block. 

 

Materials 

All course materials will be provided electronically using the Skills Lab online learning management system. 

 

Volume of Learning 

This micro-credential will involve a volume of learning of approximately 40 hours of student effort. 

 

Digital badge and certificates

On successful completion of the micro-credential assessment tasks, you will be issued with a Skills Lab digital badge to recognise your achievement. 

 

Training Dates

Block 1 Course Dates:
  • 13th November 23 - 17th November 23

Block 2 Course Dates:
  • 27th November 23 - 1st December 23

Block 3 Course Dates: 
  • 11th December 23 - 15th December 23
 

Please note this micro-credential is currently open to residents of NSW only. Evidence of NSW residence will be required at the time of enrolment.

 

Register Now

The complexity of asset management systems has increased over time requiring a different approach to managing these systems. Additionally, companies are challenged to develop more efficient and sustainable products to meet growing demands of consumers and, as a result, product design and manufacture has rapidly evolved in recent times.

A digital twin is virtual model of a physical object or system that spans its lifecycle and brings in learning and experiences from real world processes to update the digital twin model. Engineers and operators can view the digital twin to understand, in real time, how the asset or system is performing in the real world. Analysis of the data collected from the digital twin can also support decision-making based on predictions of how the asset or system will perform in the future.

Furthermore, the operational data provides insight to manufacturers to optimise the product design, improve manufacturing processes, and deliver sustainable products at a reduced cost.

 

Intended Audience 

Micro-credential 1: Introduction to Digital Twin

  • Managers (ANZSCO ID 1332)
  • Engineers (ANZSCO ID 2335, ANZ ID 2331, ANZSCO ID 2331, ANZSCO ID 3231, ANZSCO ID 233512, ANZSCO ID 233911)
  • Data Scientists
Micro-credential 2: Data Analytics for Digital Twin
  • Managers (ANZSCO ID 1351)
  • Engineers
  • Data Analysts

Micro-credential 3: Operational/As-Built-As-Maintained Twin

  • Managers
  • Engineers
  • Data Analysts
  • Systems Integrators

 

Content 

This series of three Micro-Credential covers basic Digital Twin principles through to Operating and Managing a Digital Twin.

Micro-credential 1: Introduction to Digital Twin (Foundational)

Micro-credential 2: Data Analytics for Digital Twin

Micro-credential 3: Operational/As-Built-As-Maintained Twin (Advanced) 

The first is an online-only, self-paced introduction to Digital Twin concepts and the business factors necessary to successfully implement Digital Twins in an organisation.

The second is a cyber-physical week of training focusing on data analytics and the way digital twins can be used to enhance data driven decision-making (including practical examples).

Finally, the third course (also cyber-physical) on Operational/As-Built-As-Maintained Twins will provide learners with knowledge and skills in relation to physically implementing digital twins.

 

Pre-requisites 

  1. Introduction to Digital Twin

No prerequisites required.

  1. Data Analytics for Digital Twin

Introduction to Digital Twin or commensurate professional experience (3 to 5 years’ relevant work experience).

  1. Operational/As-Built-As-Maintained Twin

Data Analytics for Digital Twin or commensurate professional experience (3 to 5 years’ relevant work experience).

 

Training Style 

All course materials and activities will be accessed through Skill Lab's learning management system and the training will be facilitated in real-time using our cyber physical capability. Our cyber physical training provides live, face-to-face training from your home or office while ensuring an authentic in-lab experience. Students gain supervised remote access to state-of-the-art industry equipment, just as if they were sitting together in the Lab doing all the required practical industry learning.

 

Materials 

All course materials will be provided electronically using the Skills Lab online learning management system. 

 

Volume of Learning 

This micro-credential will involve a volume of learning of approximately 40 hours of student effort. 

 

Digital badge and certificates

On successful completion of the micro-credential assessment tasks, you will be issued with a Skills Lab digital badge to recognise your achievement. 

 

Training Dates

 

Introduction to Digital Twins - delivered by Memko Systems

Block 1 Course Dates: DELIVERED

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Digital Twins - Data Analytics

Block 1 Course Dates:
  • 13th - 17th November 23

Block 2 Course Dates:
  • 20th - 24th November 23

 

Digital Twins - Operational/As-Built-As-Maintained Twin

Block 1 Course Dates:
  • 4th -8th December 23

Block 2 Course Dates:
  • 11th - 15th December 23

 

Please note this micro-credential is currently open to residents of NSW only. Evidence of NSW residence will be required at the time of enrolment.

 

Register Now

Fee-free relevant courses

The NETM’s committed funding ensures Skills Lab’s NETM micro-credentials are free for learners during the initial stages of the NETM pilot.

In-demand skills

Build the skills and knowledge to apply to emerging roles.

Short and relevant

Short, specialised units developed by industry, for industry.

Skills-Lab-open-book-icon Short, sharp and shiny 45% of respondents would prefer ‘bite-sized’, intensive learning.1

1 Source: Deloitte

Skills-lab-button-skillslab

 

 

Register your interest today!