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Automation Anywhere, Inc.

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.

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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.

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What's inside

Syllabus

Understanding IQ Bot and Creating an Instance
In this module, you will explore the concept of cognitive automation, the six-step process of deploying a cognitive automation, IQ Bot as a cognitive solution, the basics of the IQ Bot portal, and the IQ bot workflow at a high-level. You will also learn to perform the first two steps of the IQ Bot workflow: Instance creation and Document analysis. After this, you will use the IQ Bot portal to create (and edit) a learning instance and trigger document analysis that produces document groups, depending on the input documents’ layout and content.
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Performing Bot Training, Production Processing, and Document Validation
In this module, you will learn to perform the remaining four steps of the IQ Bot workflow: Bot training, in context of fields and tables; Bot training, with focus on check boxes and repeated sections; Production processing; Document validation; and Progress monitoring. You will use the Designer on the IQ Bot portal to perform each of these steps.
Generating RPA Analytics
In this module, you will explore the concept of analytics and how it is applied within RPA, get introduced to the Bot Insight application, and learn about the different types of analytics. You will also learn how to generate operational analytics on the Web Control Room. You will then explore Bot Insight’s user interface and features and learn how to deploy it using APIs. Next, you will explore the various roles who generate or view business analytics, and learn how to generate them on Bot Insight. You will also explore the CoE Dashboard on Bot Insight and learn how to configure, customize, and publish this dashboard. Finally, you will see how the RPA mobile app can be used to study and edit the default CoE dashboard that is published via Bot Insight.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines cognitive automation, which is an aspect of RPA that focuses on semi-structured and unstructured data sources, addressing a key challenge in the field
Teaches the six-step process of deploying cognitive automation, providing a structured approach to implementing this new capability
Utilizes Automation Anywhere's own IQ Bot cognitive solution, offering practical hands-on experience with a leading industry tool
Covers RPA analytics, exploring how to interpret and improve automated business processes, enhancing the value of RPA implementations
Leverages Automation Anywhere's Bot Insight and Web Control Room for RPA analytics, providing learners with exposure to industry-leading tools
Emphasizes the practical application of RPA analytics, providing learners with the skills to generate actionable insights from their RPA initiatives

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Reviews summary

Rpa and cognitive solutions

According to students, this course on RPA and cognitive solutions has mixed reviews. While the course may have some valuable content, learners mention outdated content, broken links, and technical issues with the software. Instructors and support are also cited as weak points.
Instructors and support not helpful.
"very poor support"
Content out of date.
"Outdated content"
Links or tools don't work.
"The tools needed for the week 2, did not work."
"project tool does not work"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Cognitive Solutions and RPA Analytics with these activities:
Organize your notes and materials
This activity will help students stay organized and keep track of their learning materials.
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  • Gather your notes and materials
  • Create a system for organizing your materials
Review key concepts from high school algebra
Recalling key concepts from algebra will provide a strong foundation for success in this course, which builds upon many algebraic principles.
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Review basics of cognitive automation
This activity will help students refresh their knowledge on the fundamentals of cognitive automation, which is essential for understanding the concepts discussed in the course.
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  • Read the chapter on cognitive automation in the course textbook
  • Review the course syllabus and make note of the topics that will be covered
20 other activities
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Review the course syllabus and prerequisites
Refreshing your skills and knowledge on the prerequisites will help you better prepare for the course and bridge any gaps in your understanding.
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Watch video tutorials on the basics of Python programming
Watching video tutorials provides a visual and interactive way to grasp the basics of Python, which is the programming language used in the course.
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Follow Automation Anywhere Community Tutorials
Automation Anywhere's tutorials offer structured guidance on various aspects of the course, providing practical examples and exercises to enhance your understanding.
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  • Visit Automation Anywhere Community.
  • Explore the tutorials section for relevant topics.
  • Follow the tutorial steps and complete the exercises.
Join a study group or discussion forum
This activity will help students connect with other learners and discuss the course material.
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  • Find a study group or discussion forum
  • Participate in discussions
Create a mind map of key concepts covered in the course
Creating a mind map will help you organize and visualize the key concepts covered in the course, enhancing your comprehension and retention.
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Explore the Automation Anywhere Community Forum
Participate in the Automation Anywhere Community Forum to connect with peers, ask questions, and enhance your learning experience by engaging with experts.
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  • Create an account on the Automation Anywhere Community website.
  • Join the relevant discussion forums for this course.
  • Post questions or participate in existing discussions.
  • Share your knowledge and help other community members.
Practice using Automation Anywhere's IQ Bot
This activity will help students practice using Automation Anywhere's IQ Bot, which is a key tool for cognitive automation.
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Show steps
  • Sign up for a free Automation Anywhere account
  • Create a new IQ Bot instance
  • Process a document using IQ Bot
Solve practice problems on basic programming concepts
Solving practice problems will reinforce your understanding of programming fundamentals and prepare you for the coding exercises in the course.
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Shadow an Automation Engineer
Watching a professional Automation Engineer will provide you with a practical understanding of the skills required for a successful implementation of automation.
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  • Network with professionals on LinkedIn or at industry events.
  • Inquire about the possibility of shadowing.
Join Automation Anywhere User Groups
Engaging with other Automation Anywhere users will provide you with opportunities to exchange knowledge, ask questions, and learn from the experiences of others.
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Show steps
  • Identify Automation Anywhere user groups in your area or online.
  • Attend user group meetings or participate in online discussions.
Practice data extraction and validation with IQ Bot exercises
Develop practical skills in data extraction and document validation using exercises provided by IQ Bot, enhancing your understanding of the course concepts.
Show steps
  • Access the IQ Bot exercise portal and download the sample documents.
  • Follow the instructions in each exercise to extract and validate data from the sample documents using IQ Bot.
  • Check your results against the expected outcomes and review any errors or discrepancies.
Join a study group with other students in the course
Participating in a study group allows you to collaborate with peers, share knowledge, and reinforce your understanding through discussions and problem-solving.
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Follow a tutorial on RPA analytics
This activity will help students learn about RPA analytics by following a guided tutorial.
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  • Find a tutorial on RPA analytics
  • Complete the tutorial
Attend a workshop on object-oriented programming
Attending a workshop on object-oriented programming will provide you with hands-on experience and a deeper understanding of this fundamental programming paradigm.
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Coding Exercises on HackerRank
Solving coding challenges on platforms like HackerRank will allow you to actively practice programming concepts related to cognitive automation.
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  • Create a HackerRank account.
  • Select coding challenges related to RPA and AI.
  • Solve the coding challenges.
Create a presentation on RPA analytics
This activity will help students synthesize their knowledge of RPA analytics and present it in a clear and concise way.
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  • Choose a topic for your presentation
  • Research your topic
  • Create your presentation
Collaborate with a study group on a cognitive automation project
Team up with classmates to work on a cognitive automation project, applying the concepts learned in class to a practical scenario, and fostering collaboration and knowledge exchange.
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  • Form or join a study group with other students in the course.
  • Identify a business challenge that can be addressed using cognitive automation.
  • Develop a project plan and divide tasks among group members.
  • Use the IQ Bot platform to design and implement a cognitive automation solution.
  • Present your project findings to the class or a designated audience.
Volunteer as a tutor or mentor in a local coding club
Volunteering as a tutor or mentor provides an opportunity to apply your knowledge, reinforce your understanding, and make a positive impact on others interested in learning programming.
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Develop an RPA analytics dashboard using the Bot Insight platform
Apply your RPA analytics knowledge to create a customized dashboard using the Bot Insight platform, providing valuable insights into the operational efficiency of your automated processes.
Show steps
  • Access the Bot Insight application and create a new dashboard.
  • Select and configure relevant widgets to display key performance indicators.
  • Use filters and drill-down options to allow users to explore data at different levels of granularity.
  • Share the dashboard with stakeholders to facilitate data-driven decision-making.
Participate in a RPA hackathon
This activity will help students apply their knowledge of RPA in a real-world setting.
Show steps
  • Find a RPA hackathon
  • Register for the hackathon
  • Develop a solution to the hackathon challenge

Career center

Learners who complete Cognitive Solutions and RPA Analytics will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineers research, design and develop artificial intelligence (AI) systems, including cognitive automation systems. This course will help you understand the concepts behind cognitive automation and how to apply it to real-world problems. It will also teach you how to use Automation Anywhere's IQ Bot, a leading cognitive automation platform. This knowledge will give you a valuable edge in the job market and help you succeed as an Artificial Intelligence Engineer.
Data Scientist
Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify patterns and trends. This course will help you develop the skills you need to become a successful Data Scientist. It will teach you how to use data analytics tools and techniques to extract insights from data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Business Analyst
Business Analysts help businesses improve their performance by analyzing their operations and identifying areas for improvement. This course will help you develop the skills you need to become a successful Business Analyst. It will teach you how to use data analytics tools and techniques to identify opportunities for improvement. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Software Engineer
Software Engineers design, develop, and maintain computer software. This course will help you develop the skills you need to become a successful Software Engineer. It will teach you the fundamentals of software engineering, including object-oriented programming, data structures, and algorithms. You will also learn how to use software development tools and techniques.
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. This course will help you develop the skills you need to become a successful IT Manager. It will teach you the fundamentals of IT management, including IT strategy, IT budgeting, and IT security. You will also learn how to manage IT staff and projects.
Project Manager
Project Managers plan, organize, and manage projects. This course will help you develop the skills you need to become a successful Project Manager. It will teach you the fundamentals of project management, including project planning, project scheduling, and project budgeting. You will also learn how to manage project teams and stakeholders.
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to help businesses make better decisions. This course will help you develop the skills you need to become a successful Business Intelligence Analyst. It will teach you how to use data analytics tools and techniques to extract insights from data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course will help you develop the skills you need to become a successful Data Engineer. It will teach you the fundamentals of data engineering, including data modeling, data warehousing, and data integration. You will also learn how to use data engineering tools and techniques.
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course will help you develop the skills you need to become a successful Machine Learning Engineer. It will teach you the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. You will also learn how to use machine learning tools and techniques.
Data Analyst
Data Analysts collect, clean, and analyze data to identify patterns and trends. This course will help you develop the skills you need to become a successful Data Analyst. It will teach you how to use data analytics tools and techniques to extract insights from data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Software Developer
Software Developers design, develop, and maintain computer software. This course will help you develop the skills you need to become a successful Software Developer. It will teach you the fundamentals of software development, including object-oriented programming, data structures, and algorithms. You will also learn how to use software development tools and techniques.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course will help you develop the skills you need to become a successful Operations Research Analyst. It will teach you the fundamentals of operations research, including linear programming, integer programming, and queuing theory. You will also learn how to use operations research tools and techniques.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. This course will help you develop the skills you need to become a successful Quantitative Analyst. It will teach you the fundamentals of quantitative analysis, including time series analysis, risk modeling, and portfolio optimization. You will also learn how to use quantitative analysis tools and techniques.
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data to help businesses understand their customers. This course will help you develop the skills you need to become a successful Market Research Analyst. It will teach you how to use market research tools and techniques to collect and analyze data. You will also learn how to communicate your findings to stakeholders in a clear and concise way.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cognitive Solutions and RPA Analytics.
Provides a practical guide to RPA implementation, covering everything from planning and implementation to managing and measuring RPA success. It good resource for those who want to learn more about how to implement RPA in their organization.
Provides a comprehensive overview of machine learning algorithms, from linear models to deep learning. It good choice for those who want to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of deep learning. It good choice for those who want to learn more about the theoretical foundations of deep learning.
Provides a comprehensive overview of cognitive automation, including its potential benefits and challenges. It also discusses the ethical implications of cognitive automation and how it will impact the future of work.
Provides a practical guide to implementing robotic process automation (RPA) in your organization. It covers everything from planning and implementation to managing and measuring RPA success.
Computer vision applications are increasingly used in cognitive automation applications. provides a comprehensive overview of computer vision, making it a good choice for those who are interested in learning more about the field.
For those interested in learning more about data science, this book provides a comprehensive overview of the field using Python. It covers the basics of data collection, cleaning, analysis, and visualization.
Provides a practical guide to using AI to improve business performance. It covers everything from identifying AI opportunities to developing and implementing AI solutions.
For those interested in natural language processing, a key component of cognitive automation, this book good choice. It provides a gentle introduction to the fundamentals of natural language processing using Python.
Provides an introduction to artificial intelligence (AI), including its history, different types of AI, and its potential applications. It good resource for those who want to learn more about AI and its potential impact on the workplace.
While this book focuses on RPA in general, it also covers the basics of cognitive automation. It good choice for those who want to learn more about RPA and its potential applications.

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