Online or onsite, instructor-led live NICE Robotic Automation training courses demonstrate through interactive hands-on practice how to implement NICE Robotic Automation for automating clerical tasks.
NICE Robotic Automation training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Akmola onsite live NICE Robotic Automation trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
iHUB | Коворкинг | Нур-Султан
Dinmukhamed Qonayev St 12/1, Astana, Kazakhstan, 020000
Central Location and modern facilities that provide the visitors with fast internet and comfortable places to work.
This instructor-led, live training in <location> (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level building automation professionals who wish to use ChatGPT to enhance the automation and management of building systems.
By the end of this training, participants will be able to:
Install and configure ChatGPT for building automation.
Integrate ChatGPT with existing building management systems.
Automate the control of lighting, HVAC, and fire safety systems using ChatGPT.
Develop and implement custom automation scripts.
Monitor and manage building systems using AI-driven insights.
In this instructor-led, live training in Akmola (onsite or remote), participants will learn what RPA is and how it can be implemented within an organization. Different RPA tools and approaches are examined, then hands-on implementation exercises are carried out in a simulated front and back office setting using NICE Robotic Automation.
By the end of this training, participants will be able to:
Evaluate and select which processes and workflow are most appropriate for RPA.
Automate select cases of repetitive, time-intensive manual processes.
Configure and monitor Nice Robotic Automation in a production setting.
Present proposal and feedback on RPA results to management.
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