RPA Lifecycle
Deployment and Maintenance
Implementing RPA with Cognitive Automation and Analytics,
Robotic Process Automation (or RPA) implementation is conducted over multiple critical phases. In the Discovery phase, you identify the business processes beneficial for automation. In the Design phase, you create an RPA plan for automating them. In the Development and Testing phase, you execute the RPA plan and develop bots, testing them thoroughly during development. Next, you need to deploy the bots and set them up for routine monitoring. These activities are performed next in the implementation lifecycle: in the Deployment and Maintenance phases. You can deploy bots in various devices and also monitor their performance live via the Web Control Room. This is a web-based application, with comprehensive workload management, granular security controls, and an intuitive analytics dashboard. It is the one central interface from where you can create and manage users and roles, monitor connected and disconnected devices and schedule bot execution. As you begin this course, you will be introduced to the user interface of the Web Control Room. You will explore various panels and components in its Features Panel. You will also study some of the best practices and troubleshooting procedures that you can apply while using the Web Control Room during RPA Deployment and Maintenance. The learning will be reinforced through concept description, hands-on tasks, and guided practice.
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Rating | Not enough ratings |
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Length | 5 weeks |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | Automation Anywhere via Coursera |
Instructor | Automation Anywhere, Inc. |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Starts | Jul 3 (39 weeks ago) |
Cost | $49 |
From | Automation Anywhere via Coursera |
Instructor | Automation Anywhere, Inc. |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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