UiPath Training in Michigan

In this instructor-led, live training in Michigan (onsite or remote), participants will learn how to create an automation workflow, manipulate data within the workflow, debug issues and set up the necessary end-to-end infrastructure needed to deploy a full-fledged robotic workflow. By the end of this training, participants will be able to:

• Design, deploy and manage a robotic workforce that mimics real employees.
• Apply this RPA solution to various business areas, including finance, BPO, software, and insurance.

This instructor-led, live training in Michigan (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities. By the end of this training, participants will be able to:

• Install and configure UiPath IPA.
• Enable robots to manage other robots.
• Apply computer vision to locate screen objects with accuracy.
• Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.

In this instructor-led, live training in Michigan (onsite or remote), participants will learn how to create an automation workflow, manipulate data within the workflow, debug issues and set up the necessary end-to-end infrastructure needed to deploy a full-fledged robotic workflow. By the end of this training, participants will be able to:

• Design, deploy and manage a robotic workforce that mimics real employees.
• Apply this RPA solution to various business areas, including finance, BPO, software, and insurance.

In this instructor-led, live training in Michigan (onsite or remote), participants will learn how to build an enterprise-grade robot and use multiple robots in parallel to increase work efficiency with the UiPath RPA tool. By the end of this training, participants will be able to:

• Create a simple enterprise-grade robot.
• Manage source code with TFS.
• Use Orchestrator queues & transactions.
• Add snippets to UiPath Studio.

This instructor-led, live training in Michigan (online or onsite) is aimed at SAP power users and consultants who wish to create, deploy and manage software robots to automate repetitive human tasks in SAP. By the end of this training, participants will be able to:

• Install and configure UIPath on both the server and client.
• Identify tasks that are suitable for automation with software robots.
• Understand how UIPath differs from other automation tools.
• Test and deploy UIPath software robots to automate tedious and time-consuming tasks in SAP.

This instructor-led, live training in Michigan (online or onsite) is aimed at business analysists and project managers who wish to carry out business analysis using the UiPath RPA tool. By the end of this training, participants will be able to:

• Learn about the architecture and key features of UiPath RPA tool.
• Understand the role of an RPA business analyst.
• Map the business requirements and track the RPA process.

UiPath is an RPA (Robotic Process Automation) tool for automating an organization's everyday tasks, freeing employees from the daily routine of rote work. UiPath uses diagrams, flowcharts and drag and drop options to define activities for automation. It allows for convenient administration of rules-based tasks and allows components to be shared and reused among different projects and teams. The UiPath extensible architecture uses predictive analytics, cognitive capabilities and artificial intelligence to automate complex processes. In this instructor-led, live training (onsite or remote), participants will learn how to use advanced functionality in UiPath Studio, as well as leveraging the ReFramework to build sophisticated agents with AI capabilities (document understanding). By the end of this training, participants will be able to:

• Manage advanced UiPath RPA projects.
• Create enterprise-grade robotic workforce using ReFramework.
• Extract information from unstructured data sources (e.g. invoices, images).
• Create advanced applications with machine learning / AI capabilities (e.g. spam detection).

Format of the Course

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