Description

The microcredential "Exploring Virtual Maintenance" brings together three core areas to give learners a solid, practical understanding of how virtual maintenance really works. Participants will explore the fundamentals of what virtual maintenance is and why it matters, get hands-on with the actual tools and platforms that maintenance teams use every day, and learn about the safety side of things to keep operations running reliably.​ What ties these pieces together is seeing how they work in practice. Learners will understand the big picture of virtual maintenance, discover the software and monitoring systems that make it possible, and grasp the safety and risk management practices that come with the territory.​ Participants will have a knowledge of the real tools, workflows, and safety.

Learn-and-Earn Microcredentials

Learn-and-earn microcredentials require completing a structured learning experience, such as a course, workshop, or learning path. Afterward, you must demonstrate mastery of the acquired skills through assessments or evaluations. This type ensures your knowledge is both acquired and validated, making it ideal for those seeking to enhance their expertise while earning a recognized credential. It combines education and skill validation, offering a clear pathway to professional growth.

Non-Formal Learning

This microcredential supports non-formal learning experiences. It recognizes skills gained through workshops, online courses, or workplace training, offering a flexible way to validate targeted learning outcomes. It's perfect for those seeking recognition for practical, hands-on learning outside traditional institutions.

Details

Microcredential

Non-Formal

Learn & Earn

English

3 years

Learning Hours: 20

Intermediate

EQF - Europe: Level 6

Skills you will earn

ML Principles & Methods

K2. Understand the principles, methods, and algorithms of machine learning, statistics, and data mining

ML Data Analysis

K4. Understand data analysis and interpretation using machine learning algorithms

Integrate Simulated & Physical Processes

S1. Integrate simulated processes into a physical automated process

Simulate Machine Objects & Operations

S2. Simulate machine objects and their production and functioning using diverse digital content projected onto real-world surfaces

Apply ML to Improve Processes

S3. Use machine learning tools based on virtual data to improve the performance of real processes

Our approach

We are driving a step change in qualitative microcredentialing and the issuance of microcertifications.

Certifications are awarded based on demonstrated skills, ensuring that competencies are validated through evidence.

With activity-based assessments and certified assessors, microcredentials can be earned significantly faster than through traditional methods, while maintaining high standards of quality and reliability.

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Who is offering this Microcredential

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