Enterprise Asset Management (EAM) Kurzusok

Enterprise Asset Management (EAM) Kurzusok

Local instructor-led live Enterprise Asset Management (EAM) training courses in Magyarország.

Enterprise Asset Management (EAM) Subcategories

Enterprise Asset Management (EAM) Course Outlines

Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
7 hours
Összefoglaló
This instructor-led, live training in Magyarország (online or onsite) is aimed at asset management administrators, operations managers, and project managers who wish to plan, implement, manage, and monitor an asset management system in their organizations.

By the end of this training, participants will be able to:

- Explore various EAM solutions to choose the best software that suits business objectives and needs.
- Design a lifecycle plan to build an efficient asset management system.
- Use EAM software capabilities to manage people, inventory, and operations.
- Monitor finances and performance to generate useful insights for the business.
14 hours
Összefoglaló
This instructor-led, live training in Magyarország (online or onsite) is aimed at asset management administrators, maintenance engineers, operations managers, and project managers who wish to design, implement, manage, and evaluate system maintenance and asset management strategies in their organizations.

By the end of this training, participants will be able to:

- Explore system availability and reliability to design an effective maintenance and asset management strategy.
- Assess system health to address diagnostics, prognostics, and recovery of assets and infrastructures.
- Manage asset lifecycle to avoid risk, establish standards, and evaluate performance of high-value assets.
- Report and analyze maintenance performance to generate useful insights for the business.
7 hours
Összefoglaló
This instructor-led, live training in Magyarország (online or onsite) is aimed at maintenance engineers, operations managers, and facility managers who wish to set up, implement, and integrate UpKeep's maintenance capabilities for their systems.

By the end of this training, participants will be able to plan, manage, monitor, analyze, and integrate their system maintenance processes using UpKeep.
21 hours
Összefoglaló
This instructor-led, live training in Magyarország (online or onsite) is aimed at technical persons who wish to use IBM Maximo to manage complex maintenance management requirements in an asset intensive organization.

By the end of this training, participants will be able to:

- Install and configure IBM Maximo.
- Understand the Asset Management Lifecycle.
- Work with the IBM Maximo database to query and retrieve data.
- Use IBM Maximo applications and modules to manage assets.
- Oversee and manage the maintenance aspects of an organization's assets.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
21 hours
Összefoglaló
This instructor-led, live training in Magyarország (online or onsite) is aimed at technical persons who wish to use IBM Maximo to manage assets, labor and advanced maintenance operations within their organization.

By the end of this training, participants will be able to:

- Organize assets into complex hierarchies.
- Schedule complex maintenance routines.
- Manage purchases, inventory and delivery routes.
- Manage external labor resources.
- Monitor maintenance work using a conditions-based approach.

Upcoming Enterprise Asset Management (EAM) Courses

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Néhány ügyfelünk

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We are looking for a good mixture of IT and soft skills in Hungary!

As a NobleProg Trainer you will be responsible for:

  • delivering training and consultancy Worldwide
  • preparing training materials
  • creating new courses outlines
  • delivering consultancy
  • quality management

At the moment we are focusing on the following areas:

  • Statistic, Forecasting, Big Data Analysis, Data Mining, Evolution Alogrithm, Natural Language Processing, Machine Learning (recommender system, neural networks .etc...)
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  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
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  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
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