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Cognitive Solutions and RPA Analytics

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Course Summary

Learn how to use robotic process automation (RPA) to automate cognitive solutions and data analytics in this course.

Key Learning Points

Gain knowledge on how RPA can be used to automate cognitive solutions.
Learn how to use RPA tools to automate data analytics.
Understand the different types of cognitive solutions and how they can be used in various industries.

Learning Outcomes

Ability to apply RPA to cognitive solutions.
Understanding of data analytics automation using RPA.
Familiarity with the different types of cognitive solutions and their applications in various industries.

Prerequisites or good to have knowledge before taking this course

Basic understanding of RPA and its applications.
Familiarity with data analytics.

Course Difficulty Level

Intermediate

Course Format

Online and self-paced
Video lectures and quizzes

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Notable People in This Field

Elon Musk
Andrew Ng

Related Books

Description

Millions 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.

Knowledge

Explain the function of cognitive solutions within RPA and six-step process of deploying cognitive automation
Define the IQ Bot portal and workflow, create a learning instance and Train a bot on the Designer of the IQ Bot portal
Explain the function of analytics within RPA, types of automation analytics, generate operational analytics and describe the features of Bot Insight
Generate business analytics on Bot Insight, use the CoE Dashboard and explain how to leverage the RPA mobile app to manage analytics on the go

Outline

Understanding IQ Bot and Creating an Instance
Welcome to the Course
What's in it for You?
Integrating RPA with Cognitive Solutions
Understanding IQ Bot as a Cognitive solution
Utilizing the IQ Bot Portal
Following the IQ Bot Workflow
Creating an Instance and Triggering Document analysis
Reading Instance Details
Editing an Instance
Assessment

Performing Bot Training, Production Processing, and Document Validation
What's in it for You?
Creating a Bot
Mapping Form Fields
Mapping Table Columns
Verifying Results
Applying Best Practices to Fix Errors
Extracting CSV and Saving a Bot
Creating a Bot
Mapping Form Fields
Mapping Check Boxes
Mapping Repeated Sections
Verifying results
Applying Best Practices to Fix Errors
Linking Sections
Extracting CSV and Saving a Bot
Pushing Bots and Instances to Production
Performing Batch Processing
Reviewing Batch Processing
Launching the Validator
Correcting Errors
Marking Documents Invalid
Reviewing Output Folders
Monitoring Progress
Assessment

Generating RPA Analytics
Introduction to Bot Insight
Introduction and Objectives
Understanding RPA Analytics
Understanding Bot Insight
Understanding Operational Analytics
Understanding Bot Insight features and UI
Deploying Bot Insight using APIs
Understanding Business Analytics Roles
Generating Business Analytics
Understanding the CoE Dashboard
Configuring the CoE Dashboard
Customizing and Comparing CoE Dashboards
Publishing a CoE Dashboard
Using the RPA Mobile App
Thank You
Assessment

Summary of User Reviews

Discover the Cognitive Solutions with RPA and Analytics course on Coursera. This course has received positive reviews from many users. The course covers the basics of RPA and Analytics, which is a key aspect that many users found to be good.

Pros from User Reviews

The course covers the basics of RPA and Analytics.
The course is well-structured and easy to follow.
The course materials are informative and engaging.
The instructors are knowledgeable and helpful.
The course provides practical examples and real-world scenarios.

Cons from User Reviews

The course may be too basic for some users.
The course could benefit from more hands-on exercises.
The course requires a significant time commitment.
The course could be more interactive.
The course may not provide enough depth for advanced users.

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