Automation Anywhere Courses

Cognitive Solutions and RPA Analytics

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeMillions of companies in the world today are processing endless documents in various formats. Although Robotic Process Automation (RPA) thrives in almost every industry and is growing fast, it works well only with structured data sources.What about the data that’s not fully structured and comes in varying layouts? To address this problem, there is another aspect of RPA that is taking the industry by storm: cognitive automation. While implementing RPA, you can deploy automations with “cognitive” capabilities. Cognitive automation uses Artificial Intelligence (AI) to learn and understand the same way the human brain works. Thus, it assists humans in making decisions, completing tasks, or meeting goals. Using cognitive automation, you can extract semi—or unstructured data—which is 80% of all data!Data is a precious asset. Businesses struggle to make sense of large volumes of available data and to generate a tangible value from them. Manual business processes barely contain any data that is available for capture. This is where Robotic Process Automation (or RPA) Analytics comes in. RPA bots don’t just automate business processes; they also digitize them. They take the large volume of data and interpret it in near real-time to provide actionable information.In this course, you will be introduced to cognitive automation, the role that AI plays in it, and Automation Anywhere’s cognitive solution, IQ Bot. You will also be introduced to RPA analytics and explore how Automation Anywhere’s Web Control Room and Bot Insight can provide this functionality. As you begin this course, you will learn the six steps to deploy cognitive automation. Next, you will explore the IQ Bot portal – Automation Anywhere’s web-based application for developing the cognitive IQ bots. You will then learn to use the portal by following the IQ Bot workflow. Next, you will learn how RPA analytics help interpret and improve automated business processes. You will see how Bot Insight functions as an RPA analytics platform. You will also explore the different types of RPA analytics and learn how to generate RPA analytics via two mechanisms – the Web Control Room for Operational Analytics and Bot Insight for Business Analytics and CoE Analytics.Finally, you will learn how to use the RPA mobile app to study and edit the default CoE dashboard that is published via Bot Insight.

RPA Lifecycle: Development and Testing

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeTo adopt RPA, you begin with the Discovery and Design phases and proceed onto the Development and Testing phase.RPA Lifecycle – Development and Testing is the second course of the Specialization on Implementing RPA with Cognitive Solutions and Analytics.In this course, you will learn how to develop and test bots. For this, you will use Automation Anywhere Enterprise Client (or AAE Client) to record, modify, and run tasks. AAE Client is a desktop application with an intuitive interface, that enables the creation of automated tasks with ease. It features ‘SMART’ Automation technology that quickly automates complex tasks without the need for any programming efforts. The learning will be reinforced through concept description, building bots, and guided practice.

RPA Lifecycle: Introduction, Discovery and Design

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeRegardless of the industry, business process automation is here to stay. Business processes are increasingly being automated through software automation. But how is software automation simplified and made accessible? The answer is Robotic Process Automation or RPA.RPA lifecycle: Intrdocution, Discovery and Design is the first course of the Specialization on Implementing RPA with Cognitive Solutions and Analytics.In this course, you will be introduced to RPA and see how it is combined with cognitive solutions and analytics to enable organizations to adopt the model of a “Digital Workforce” and help them transform the nature of their work.You will also learn about the first two phases of the RPA implementation lifecycle: Discovery and Design. In the Discovery phase, you take a set of business processes and identify those that are suitable and beneficial for automation.In the Design phase, you create a plan for your RPA project. The learning will be reinforced through concept description and guided practice.

Implementing RPA with Cognitive Automation and Analytics

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe explosive growth of Robotic Process Automation (RPA) in the past few years has created a tremendous demand to learn and become skilled in this exciting technology. This four course Specialization is designed to introduce RPA, provide a foundation of the RPA lifecycle--from design to bot deployment--and implement RPA with cognitive automation and analytics. Experienced and novice users and developers of RPA will all benefit from completing this Specialization. If you are interested in starting a career in automation or boosting your profile in it, now’s the time and here’s the place!With RPA, companies can deploy software robots to automate repetitive tasks, improving business processes and outcomes. When used in combination with cognitive automation and automation analytics, RPA can help transform the nature of work, adopting the model of a Digital Workforce for organizations. This allows human employees to focus on more value-added work, improve efficiency, streamline processes, and improve key performance indicators.

Getting Started with Automation 360

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeAutomation 360(tm) is the leading cloud-native end-to-end intelligent automation platform used by the world's top enterprises to automate business processes across systems and applications. This course is designed to introduce Robotic Process Automation (RPA), how RPA can be used to identify business processes for automation, and how to use Automation Anywhere Robotic Interface (AARI) to automate back office and front office business processes. Experienced and novice RPA developers will learn how to build simple to complex RPA bots using Automation 360 action packages to automate repetitive and mundane work processes to reduce human errors and improve business outcomes.

RPA Lifecycle: Deployment and Maintenance

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeRobotic 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.