Automation Anywhere Kurzusok

Automation Anywhere Kurzusok

Local instructor-led live Automation Anywhere training courses in Magyarország.

Vélemények

★★★★★
★★★★★

Automation Anywhere Course Outlines

Kurzusnév
Időtartalma
Összefoglaló
Kurzusnév
Időtartalma
Összefoglaló
28 hours
Összefoglaló
In this instructor-led, live training in Magyarország, participants will learn how RPA works, as they step through the deployment of an Automation Anywhere sample system. Case studies will be examined and comparisons made between Automation Anywhere and other RPA systems to allow candidates to evaluate their choice of tool relative to the organizational problem they wish to solve with RPA.

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

- Understand how RPA works and where Automation Anywhere fits into the Business Process Automation big picture.
- Use Automation Anywhere to create software bots that handle tasks such as Excel computations, email responses, and database manipulations.
- Analyze existing business processes and develop an RPA plan for enhancing the efficiency of a workflow.
- Lower operating costs and reduce errors through automation.
- Diagnose and debug problems during the development and deployment of Automation Anywhere software bots.
- Communicate effectively with management and staff about the role and expectation of software bots within the organization.
14 hours
Összefoglaló
In this instructor-led, live training, in Magyarország participants will learn how to operate an Automation Anywhere sample system.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
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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...)
  • SOA, BPM, BPMN
  • Hibernate/Spring, Scala, Spark, jBPM, Drools
  • R, Python
  • Mobile Development (iOS, Android)
  • LAMP, Drupal, Mediawiki, Symfony, MEAN, jQuery
  • You need to have patience and ability to explain to non-technical people

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