Master the UiPath process analysis framework to map, evaluate, optimize, and monitor business processes successfully, while also discovering automation opportunities.

<h2>About the Process analysis framework training </h2>Unlock the potential of the UiPath process analysis framework in this comprehensive course. Designed for process analysts, it will teach you to map current workflows, validate data accuracy, define key performance indicators (KPIs), and identify high-value automation use cases. You’ll explore root cause analysis, quantify opportunities, and prioritize improvements to streamline processes effectively. With hands-on exercises and real-world scenarios, gain the skills needed to optimize workflows, reduce inefficiencies, and drive continuous business improvement using data-driven insights. <h3>Audience </h3>This course is designed for process analysts who are interested in the automation field. <h3>Agenda </h3>This course covers the following topics: Overview: <ul><li>The process analysis framework. </li><li>Introduction to the use case </li></ul>Technology qualification and process evaluation: <ul><li>Understanding the process to be discovered </li><li>Practice – mapping the current process </li><li>Evaluating the process </li></ul>Business process analysis: <ul><li>Identifying value use cases </li></ul>

Process analysis framework

Process analysis overview

What is UiPath Automation Hub? Who uses it? How can Automation Hub help you accelerate adoption of automation within your organization? Looking for answers to these questions, this course is for you!

<h4>Long description:  </h4>This course introduces you to Automation Hub. It also describes its main features and capabilities and then explains how to access and use this tool.  This course is for beginners to UiPath Automation Hub. It takes only half an hour to complete. At the end, you’ll receive a diploma of completion. <h4>Audience:   </h4>This course is meant as an entry gate to Automation Hub. It is targeted at anyone looking to contribute to the automation program in their company.   <h4>Learning objectives:   </h4>At the end of this course learners should be able to:  <ul><li>Describe what Automation Hub is and why you need it.  </li><li>Define automation ideas and the phases they go through. </li><li>Explain the Automation Idea profile. </li><li>Describe how ideas become automations. </li><li>Identify the personas and user roles in Automation Hub. </li><li>Show how to get access to Automation Hub. </li><li>Explore various user interface options in Automation Hub. </li></ul><h4>Agenda:   </h4><ul><li>Introducing Automation Hub  </li><li>How Ideas Become Automations? </li><li>Personas and User Roles in Automation Hub </li><li>Getting Started with UiPath Automation Hub</li></ul>

UiPath Automation Hub Overview

What does the automation idea lifecycle look like? What is cost-benefit analysis? How are automation ideas, charts and reports managed? Looking for answers to these questions, this course is for you!

In this course, we are introducing you to the lifecycle of an automation idea. It also includes sharing CoE-driven ideas, cost benefit analysis and how automation ideas and automations are managed. In addition. it also covers the dashboards and reports in Automation Hub to track the performance and cost of the automation program. <h4>Audience: </h4>The course is mainly addressed to the Center of Excellence members and leaders, such as Process Owners, Subject Matter Experts, Business Analysts, Citizen Developers, or Process Consultants. However, this could be of interest for anybody looking to see how automation ideas become reality. <h4>Learning objectives:</h4>At the end of this course learners should be able to:  <ul><li>Describe what automation idea is and its submission methods. </li><li>Identify the automation idea phases and corresponding statuses. </li><li>Identify the collaborator roles involved in the automation idea journey. </li><li>Describe CoE-driven idea and identify who can submit it. </li><li>Share CoE-driven ideas. </li><li>Describe the purpose of the Cost-Benefit Analysis and fill it in. </li><li>Describe how automation ideas and automations are managed in the Qualification phase. </li><li>Explain the Automation Pipeline and the Decision Pipeline. </li><li>Describe the phases and the collaborator roles involved in the implementation of an automation idea. </li><li>Use the dashboards and reports in Automation Hub to track the performance and cost of the automation program. </li></ul><h4>Agenda:  </h4><ul><li>Automation Idea and its Phases  </li><li>Submitting CoE Driven Ideas </li><li>The Cost-Benefit Analysis </li><li>Qualification and Pipeline Management </li><li>The Implementation Phases </li><li>Performance and Cost Tracking</li></ul>

The Lifecycle of an Automation Idea in UiPath Automation Hub

Master idea flow customization in UiPath Automation Hub. Learn to create, modify, and manage automation ideas efficiently. Ideal for professionals aiming to streamline automation processes.

<h2>About the Idea flow customization in Automation Hub training</h2>This course teaches you to create, modify, and manage automation idea flows, aligning them with your organization&#39;s needs for efficient automation management. Besides, you’ll learn how to customize idea flows for specific phases and statuses and add an assessment to an existing flow.<h3>Product alignment</h3>This course was initially built using the 2024.6 version of UiPath Automation Hub. It is applicable to both 2024.6 and newer versions.<h3>Audience</h3>The course is mainly addressed to the Center of Excellence members and leaders, such as Process Owners, Subject Matter Experts, Business Analysts, Citizen Developers, or Process Consultants. However, this could be of interest for anybody looking to see how automation ideas become reality.<h3>Agenda</h3>The agenda covers:  <ul><li>What is idea flow customization? </li><li>Create a new idea flow </li><li>Customize idea flows for phases and statuses </li><li>Add an assessment to the idea flow </li><li>Idea access &amp; idea actions </li></ul><h3> Learning objectives</h3>At the end of the course, you should be able to:  <ul><li>Explain the benefits of idea flow customization. </li><li>Create new idea flows.  </li><li>Configure idea flow transition via phases &amp; statuses. </li><li>Create a new assessment. </li><li>Describe idea action and idea access and configure idea flow settings.</li></ul>

Idea flow customization in UiPath Automation Hub

UiPath Automation Hub

What is Process Mining? How does scientific process discovery work? What are the roles involved in a Process Mining project implementation? If you need answers to these questions, look no further!

The business processes in a company—their effectiveness, how well they are documented and followed—have always been predictors of the company’s success. So, companies have always been committed to process improvement initiatives. Now, in the digital transformation era, it’s even more important to have a scientific approach to the discovery, improvement, and monitoring of business processes.In this course, we’ll start by looking at the concept of process discovery and the two ways of doing it: the traditional, manual process discovery, based on the knowledge of individuals, and the modern, technology-led process discovery. We’re going to be introduced to the UiPath offering for process discovery, in the broader context of enterprise automation.Finally, we’ll get to the basics of how UiPath Process Mining works, what processes we can mine with it, and the roles typically involved in a Process Mining project – from business users to process analysts and developers.Course audienceThis course is meant as an entry gate to process discovery and Process Mining. It is targeted for anyone in need of a quick introduction to Process Mining: Executives interested in implementing Process Mining in their organization, process analysts looking to enhance their skillset, and business users wishing to contribute to process improvement and automation initiatives.Get Started with Process Mining - Learning ObjectivesAt the end of this course you should be able to:<ul><li>Describe the role of process discovery in the context of digital transformation.</li><li>Differentiate between manual and technology-led process discovery, their benefits, and challenges.</li><li>Differentiate between the UiPath discovery products: Process Mining, Task Mining, Task Capture, and Automation Hub.</li><li>Identify contexts in which UiPath Process Mining should be used.</li><li>Describe how UiPath Process Mining works.</li><li>Choose processes that are suitable for discovery with UiPath Process Mining.</li><li>Describe the stages of a Process Mining project and the roles involved.</li></ul>Get Started with Process Mining Course Agenda<ul><li>What Is Process Discovery?</li><li>Manual versus Technology-led Process Discovery</li><li>Discovery with UiPath</li><li>What Is UiPath Process Mining?</li><li>When to Use UiPath Process Mining</li><li>How UiPath Process Mining Works</li><li>UiPath Process Mining and Automation</li><li>Project Mining Project Stages, Tasks, and Roles</li></ul> You will receive a diploma of completion at the end of this course. You can advance on the path to Process Mining proficiency with the Process Analysis Fundamentals with UiPath Process Mining course. Or, if you want to find out more about RPA and enterprise automation, you can go for the <a href="https://academy.uipath.com/learningpath/introduction-to-rpa-and-automation">Introduction to RPA and Automation</a> course.

Get Started with UiPath Process Mining

Learn how UiPath Process Mining empowers process analysts to visualize, analyze, and optimize workflows. Discover app templates, process visualization, and integrations with other UiPath tools.

<h2>About the Introduction to UiPath Process Mining apps for process analysts training </h2>Unlock the power of UiPath Process Mining in this comprehensive course designed for process analysts. You will learn how to capture and analyze real-time process data to uncover bottlenecks and inefficiencies. The course covers key features such as app templates, process visualization, and how to leverage data-driven insights to optimize business workflows. Additionally, it explores how to integrate UiPath Process Mining with Automation Hub and Task Mining, allowing you to submit automation ideas directly from your analysis and investigate a process at a granular level. <h3>Audience </h3>The course is mainly addressed to process analysts and automation professionals who are involved in identifying process inefficiencies and optimizing business workflows using UiPath Process Mining. Additionally, it could be of interest to process owners, business analysts, and automation developers who want to gain deeper insights into their process data and leverage automation tools for continuous improvement. <h3>Agenda </h3>The agenda covers: <ul><li>The Process Mining data journey </li><li>The Process Mining components </li><li>The Process Mining deployment options </li><li>The main Process Mining personas </li><li>The Process Mining app templates </li><li>Any process </li><li>Purchase-to-Pay </li><li>Order-to-Cash </li><li>Integration with UiPath Automation Hub </li><li>Integration with UiPath Task Mining</li></ul><h3>Learning objectives </h3>At the end of the course, you should be able to: <ul><li>Define the UiPath Process Mining data journey and its main components. </li><li>Describe the most common roles in the Process Mining platform. </li><li>Explain what app templates are and why you need them. </li><li>Use the various deployment options offered by UiPath Process Mining. </li><li>Create new UiPath Process Mining apps based on the available templates. </li><li>Navigate the menus and dashboards available within app templates. </li><li>Submit an idea to Automation Hub directly through UiPath Process Mining. </li><li>Initiate a UiPath Task Mining project from UiPath Process Mining</li></ul>

Introduction to UiPath Process Mining apps for process analysts

Learn to customize UiPath Process Mining apps by creating dashboards, charts, and metrics tailored to your business needs. Perfect for process analysts seeking to optimize workflows.

<h2>About the Customizing UiPath Process Mining apps for process analysts training </h2>Tailored for process analysts, this course covers everything from creating new sections, dashboards, and charts to defining custom metrics in UiPath Process Mining applications. You’ll learn how to apply data restrictions, rename fields, and manage app access to ensure your process mining apps align with your organization’s goals. With hands-on exercises, this course will equip you with the skills to enhance process visibility, streamline workflows, and drive operational efficiency. Ideal for professionals aiming to take their process analysis to the next level. <h3>Audience </h3>The course is mainly addressed to process analysts and automation professionals who are involved in identifying process inefficiencies and optimizing business workflows using UiPath Process Mining. Additionally, it could be of interest to process owners, business analysts, and automation developers who want to gain deeper insights into their process data and leverage automation tools for continuous improvement. <h3>Agenda </h3>The agenda covers: <ul><li>Set up your environment </li><li>Set data restrictions </li><li>Create new sections and dashboards </li><li>Create new charts </li><li>Create new metrics </li><li>Rename data fields </li><li>Export and import process apps </li><li>Enhance procurement efficiency with UiPath Process Mining </li></ul><h3>Learning objectives </h3>At the end of the course, you should be able to: <ul><li>Customize a UiPath Process Mining application by creating new sections, dashboards, and charts. </li><li>Rename data fields in a UiPath Process Mining application. </li><li>Set data restrictions in a UiPath Process Mining application. </li><li>Export and import UiPath Process Mining apps. </li></ul>

Customizing UiPath Process Mining apps for process analysts

UiPath Process Mining

Discover how UiPath Task Mining captures desktop activities to identify automation opportunities, optimize workflows, and enhance efficiency. Ideal for teams looking to streamline processes.

<h2>About the UiPath Task Mining overview training</h2>This course teaches you how to capture desktop activities and analyze user interactions to identify high-impact automation and process improvement opportunities. This course covers everything from recording and editing task traces to merging and exporting data for deeper workflow optimization. By the end, you will master the ability to improve processes assisted by AI-powered capabilities, enabling smarter, more efficient business operations.<h3>Audience</h3>The course addresses business analysts, process owners, operations and business unit leaders who seek to identify and optimize automation and process improvement opportunities, and employees who perform day-to-day tasks and wish to be part of business process optimization initiatives.<h3>Agenda</h3>The agenda covers:  <ul><li>Introduction to Continuous Discovery </li><li>Meet UiPath Task Mining </li><li>Setting up UiPath Task Mining </li><li>Recording tasks </li><li>Editing traces </li><li>Merging traces </li><li>Practice - map the process of sharing vendor reports </li></ul><h3>Learning objectives</h3>At the end of the course, you should be able to:  <ul><li>Describe the role of UiPath Task Mining in the Continuous Discovery space. </li><li>Define what Task Mining is and explain how it works. </li><li>Record tasks automatically and manually. </li><li>Edit task graphs and actions. </li><li>Merge recorded traces automatically and manually. </li><li>Decide on which feature to use depending on your context.</li></ul>

UiPath Task Mining overview

UiPath Task Mining

Can companies use business emails and chats to get insights and identify automation opportunities? Yes, it’s called communications mining and UiPath now offers the perfect solution for this: UiPath Communications Mining. <h2>About the UiPath Communications Mining Overview course </h2>This introductory course is meant to provide technical audiences and business users with an understanding of what UiPath Communications Mining is, what it does, how it works, and how it helps companies to process vast amounts of unstructured communications data, such as emails, instant messages, log notes, and so on. This course will take you through the process of turning unstructured communication data into structured data and processing it using Natural Language Processing (NLP) to generate business intelligence, valuable analytics, and automation opportunities.  The UiPath Communications Mining overview is a beginner level course. It takes 1 hour to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>This course is designed for people completely new to UiPath Communications Mining. Thus, it doesn&#39;t have any pre-requisites. <h4>Course audience </h4>The UiPath Communications Mining Overview course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The UiPath Communications Mining Overview course agenda </h4>We’ll introduce UiPath Communications Mining at an overview level before looking closely at some of its main capabilities. The full agenda covers:  <ul><li>Getting started with UiPath Communications Mining </li><li>Introduction to UiPath Communications Mining </li><li>How does UiPath Communications Mining Work? </li><li>Why should you use UiPath Communications Mining? </li><li>What does the Communications Mining platform look like? </li></ul><h4>UiPath Communications Mining Overview learning objectives </h4>At the end of the UiPath Communications Mining Overview course, you should be able to: <ul><li>Define the main concepts related to UiPath Communications Mining. </li><li>Recognize the business challenges that are solved with the help of UiPath Communications Mining.  </li><li>Describe what UiPath Communications Mining does and how it works. </li><li>List out the optimal data types for UiPath Communications Mining. </li><li>Identify the tools that are integrated downstream with Communications Mining.  </li><li>List out the benefits of UiPath Communications Mining for you and your business. </li><li>Describe why UiPath Communications Mining is a trusted solution. </li><li>List out some examples and use cases of Communications Mining. </li><li>Describe the main features of the platform.</li></ul>

UiPath Communications Mining Overview

Tired of spending hours sifting through business emails? Let our labels and fields take the hassle out of your inbox!

<h2>About the Fundamentals of Model Training training</h2>This course is meant to provide technical audiences and business users with the knowledge required before training a model on their data in the UiPath Communications Mining platform. This course will go through key concepts, including labels and fields and how they work, as well as an overview of the steps involved in the end-to-end model training process. The Fundamentals of Model Training takes 50 mins to complete. At the end, you’ll receive a diploma of completion. <h3>Learning prerequisites </h3>To make the most of this learning experience, we recommend going through the introductory UiPath Communications Mining Overview course. <h3>Audience </h3>The Fundamentals of Model Training course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.<h3>Agenda </h3>The full agenda covers: <ul><li>What is model training and what makes a ‘good’ model </li><li>What is Generative Extraction? </li><li>Label, fields, and metadata </li><li>Introduction to model training </li><li>Training with label sentiment analysis </li></ul><h3>Learning objectives </h3>At the end of the Fundamentals of Model Training course, you should be able to: <ul><li>Define what model training is. </li><li>Describe what makes a &#39;good&#39; model. </li><li>Explain labels, fields, metadata, and how to use them. </li><li>Explain what the model learns from during training. </li><li>Explain the overview of model training process. </li><li>List out the labeling best practices for labels and fields. </li><li>Explain how to use &#39;Train&#39; for a guided label training experience. </li><li>Explain the unique elements of training with label sentiment analysis enabled.</li></ul>

Fundamentals of Model Training

 Struggling to keep your business emails organized? This course will teach you how to create and structure labels to prioritize messages, identify urgent tasks, and efficiently manage your inbox.

<h2>About the Taxonomy Design training</h2>This course is meant to provide technical audiences and business users with an understanding of how to build your taxonomy before beginning model training. This includes creating and structuring labels, what they should capture, and how to turn specific objectives into labels. This course also covers defining the field types and configurations you want to train if planning to explore and implement automation. The Taxonomy Design course takes 40 minutes to complete. At the end, you’ll receive a diploma of completion. <h3>Learning prerequisites </h3>To enjoy this learning experience, we recommend you go through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li></ul><h3>Audience </h3>The Taxonomy Design course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business.<h3>Agenda </h3>The full agenda covers: <ul><li>Taxonomy design: labels </li><li>Building your label taxonomy </li><li>Taxonomy design: fields </li><li>Practice: Draft a Taxonomy of labels and fields</li></ul>

Taxonomy Design

Are you ready to take your data management skills to the next level? Our comprehensive course on data structures, permissions, and setting up datasets is here to help!

<h2>About the Model Training Deep Dive: Setup course </h2>This course is meant to provide technical audiences and business users with an understanding of data structures, permissions, and setting up datasets.  This course covers creating a new dataset, importing your taxonomy, enabling and creating entities, and understanding the status of your dataset. The Model Training Deep Dive: Setup course takes 30 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Setup course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Setup course agenda </h4>The full agenda covers:  <ul><li>Managing Datasets </li><li>Importing Taxonomy </li><li>Dataset Training status </li><li>Practice: Set Up a Dataset Ready for Training </li></ul><h4>Model Training Deep Dive: Setup course learning objectives </h4>At the end of the Model Training Deep Dive: Setup course, you should be able to: <ul><li>Explain the data structure and permissions in Communications Mining. </li><li>Create a new dataset. </li><li>Enable entities on a dataset. </li><li>Import your taxonomy from a spreadsheet via the &#39;Settings&#39; or &#39;Train&#39; pages. </li><li>Describe how the platform re-trains during model training. </li><li>Explain the status of your dataset.</li></ul>

Model Training Deep Dive: Setup

Are you interested in learning about the &#39;Discover&#39; phase of model training? Our comprehensive course is designed to help you understand the importance of this critical step in the model training process. <h2>About the Model Training Deep Dive: Discover course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Discover&#39; phase of the model training process.  It provides an insight into the importance of clusters, as well as explains in detail how to label clusters and how to label verbatims using search. The Model Training Deep Dive: Discover course takes 45 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Discover course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Discover course agenda </h4>The full agenda covers:  <ul><li>What is the &#39;Discover&#39; Phase? </li><li>Understanding Label and Entity Predictions </li><li>How to Train Using ‘Clusters&#39; </li><li>How to Train Using ‘Search’ </li><li>How to Use ‘Train’ During the ‘Discover’ Phase </li><li>Practice: Train Your Model in the &#39;Discover&#39; Phase </li></ul>Model Training Deep Dive: Discover course learning objectives At the end of the Model Training Deep Dive: Discover course, you should be able to: <ul><li>Define what the &#39;Discover&#39; phase of training is, how it works, and why it is important. </li><li>Explain how label and entity predictions work, and how to use them. </li><li>List out the important considerations while labeling in &#39;Discover&#39;. </li><li>Navigate through &#39;Clusters&#39;. </li><li>Train different &#39;Clusters&#39;. </li><li>Train using &#39;Search&#39;. </li><li>Explain why &#39;Search&#39; should be used sparingly. </li><li>Use &#39;train&#39; during the &#39;Discover&#39; phase.</li></ul>

Model Training Deep Dive: Discover

Looking to enhance your understanding of the essential steps and training modes in the ‘Explore’ phase of your project? This course will give you a complete overview of the primary steps and label training modes, including Shuffle, Teach, and Low Confidence. Not just that you’ll gain a deep understanding of entity training as well. <h2>About the Model Training Deep Dive: Explore course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Explore&#39; phase of the model training process.  It provides an overview of the primary steps and label training modes in the &#39;Explore&#39; phase — &#39;Shuffle&#39;, &#39;Teach&#39;, and &#39;Low Confidence&#39;. It also covers entity training, as well as pruning and reorganizing a taxonomy as required. The Model Training Deep Dive: Explore course takes 45 minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li><li>Model Training Deep Dive: Discover </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Explore course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Explore course agenda </h4>The full agenda covers:  <ul><li>Introduction to the &#39;Explore&#39; Phase </li><li>How to Train Using ‘Shuffle’, ‘Teach Label&#39;, and ‘Low Confidence’ </li><li>How to Train Entities Using &#39;Teach Entity&#39; </li><li>How to Prune and Reorganize a Taxonomy </li><li>How to Use &#39;Train&#39; During the &#39;Explore&#39; Phase </li><li>Practice: Train Your Own Model in the &#39;Explore&#39; Phase </li></ul><h4>Model Training Deep Dive: Explore course learning objectives </h4>At the end of the Model Training Deep Dive: Explore course, you should be able to: <ul><li>Define what &#39;Explore&#39; is, how it works, and why it&#39;s important. </li><li>List out the important considerations while labeling in &#39;Explore&#39;. </li><li>Navigate around &#39;Explore&#39;. </li><li>Train using &#39;Shuffle&#39; mode. </li><li>Train using &#39;Teach Label&#39; mode. </li><li>Train using &#39;Low Confidence&#39; mode. </li><li>Train entities using &#39;Teach Entity&#39; mode. </li><li>Prune and reorganize your taxonomy. </li><li>Use &#39;Train&#39; during the &#39;Explore&#39; phase.</li></ul>

Model Training Deep Dive: Explore

Are you looking to find out the different performance factors that impact your model rating? Do you want to learn how to refine your model and maintain it in production? This comprehensive course will give you an in-depth insight into the important concepts of how to optimize and refine your model until they meet your specific objectives.  <h2>About the Model Training Deep Dive: Refine and Maintain course </h2>This course is meant to provide technical audiences and business users with an understanding of the &#39;Refine&#39; phase of the model training process, as well as how model maintenance works.  It provides insights into precision vs. recall, the role of &#39;Validation&#39;, the model rating and the different performance factors impacting it, and how you can refine your model until it performs as required to meet your objectives. It will also cover how you can maintain your model in production. The Model Training Deep Dive: Refine and Maintain course takes one-hour thirty minutes to complete. At the end, you’ll receive a diploma of completion. <h4>Course prerequisites </h4>To enjoy this learning experience, we recommend you going through the following courses: <ul><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Training Deep Dive: Setup </li><li>Model Training Deep Dive: Discover </li><li>Model Training Deep Dive: Explore </li></ul><h4>Course audience </h4>The Model Training Deep Dive: Refine and Maintain course is aimed at technical audiences and business users, as well as anybody else curious to see the power of Natural Language Processing in business. <h4>The Model Training Deep Dive: Refine and Maintain course agenda </h4>The full agenda covers:  <ul><li>What is the &#39;Refine&#39; Phase? </li><li>Understanding Model Performance </li><li>Improving Label Performance </li><li>Checking and Improving Coverage </li><li>Checking and Improving Balance </li><li>Understanding and Improving Entity Performance </li><li>When to Stop Training Your Labels and Entities </li><li>How to Use &#39;Train&#39; During the &#39;Refine&#39; Phase </li><li>Model Maintenance </li><li>Practice: Refine Your Model in the &#39;Refine&#39; Phase </li></ul><h4>Model Training Deep Dive: Refine and Maintain course learning objectives </h4>At the end of the Model Training Deep Dive: Refine and Maintain course, you should be able to: <ul><li>Define what the &#39;Refine&#39; phase of model training is, how it works, and why it&#39;s important. </li><li>Explain the role of &#39;Validation&#39; when refining a model. </li><li>List out the important considerations while labeling during the &#39;Refine&#39; phase. </li><li>Explain precision and recall, what a model rating is, and how it&#39;s scored. </li><li>Explain the four factors impacting model performance and how to use the platform&#39;s recommended actions. </li><li>Explain how you can improve the performance of individual labels, and when to use &#39;Missed Label&#39;, &#39;Check Label&#39;, and &#39;Teach Label&#39; as part of the model refinement process. </li><li>Explain why coverage is important and how to check and improve your coverage score. </li><li>Explain why balance is important, and how to check and improve your balance score. </li><li>Explain how entity validation works and when to stop training your entities </li><li>Improve the performance of your entities, using the different training modes. </li><li>Explain when to stop training your labels and entities. </li><li>Use &#39;Train&#39; during the &#39;Refine&#39; phase. </li><li>Explain how to maintain a model in production, why it&#39;s important, and how to add new labels to an existing taxonomy. </li><li>Prevent concept drift and complete exception training.</li></ul>

Model Training Deep Dive: Refine and Maintain

UiPath Communications Mining

Process Analyst training - assessment

Feedback Survey

Assessment

Bauen Sie Ihre Prozessanalysefähigkeiten im Bereich Automatisierung mit diesem umfassenden Lernplan für Prozessanalysten auf!

Schulung für Prozessanalysten

Build up your process analysis skills in the automation space with this comprehensive learning plan for process analysts!

<h2>About the Process Analyst Training </h2>Gain a comprehensive understanding of process discovery and automation with this UiPath learning plan. Designed for process analysts, this program covers key technologies including Automation Hub, Process Mining, Task Mining, and Communications Mining. Learn how to evaluate business processes, manage automation ideas, customize Process Mining apps, and train AI models for communications analysis. With hands-on guidance and deep dives into UiPath tools, this learning path equips you with the skills needed to identify inefficiencies, optimize workflows, and drive impactful automation strategies.  <h3>Learning prerequisites </h3>To make the most of this training, we advise you to be familiar with the field of automation. For that, you can complete the following course: <ul><li>Introduction to automation 
 </li></ul><h3>Audience </h3>This training is designed for process analysts in the automation field. <h3>Agenda </h3>This training covers the following: <ul><li>Process analysis framework </li><li>UiPath Automation Hub Overview </li><li>The Lifecycle of an Automation Idea in UiPath Automation Hub </li><li>Idea flow customization in UiPath Automation Hub </li><li>Get started with UiPath Process Mining </li><li>Introduction to UiPath Process Mining apps for process analysts </li><li>Customizing UiPath Process Mining apps for process analysts </li><li>UiPath Task Mining overview </li><li>UiPath Communications Mining Overview </li><li>Fundamentals of Model Training </li><li>Taxonomy Design </li><li>Model Trainer Deep Dive: Setup </li><li>Model Trainer Deep Dive: Discover </li><li>Model Trainer Deep Dive: Explore </li><li>Model Trainer Deep Dive: Refine and Maintain </li></ul>

Process Analyst Training

¡Desarrolle sus habilidades de análisis de procesos en el espacio de automatización con este plan de aprendizaje integral para analistas de procesos!

Formación de Process Analyst

Desarrolle sus habilidades de análisis de procesos en el espacio de automatización con este plan de aprendizaje integral para analistas de procesos.

Développez vos compétences en analyse des processus dans le domaine de l'automatisation grâce à ce plan d'apprentissage complet pour les analystes de processus !

Formation d'analyste de processus

プロセス アナリスト向けのこの包括的な学習プランを使用して、自動化分野でのプロセス分析スキルを磨きましょう。

プロセスアナリストトレーニング

프로세스 분석가를 위한 이 포괄적인 학습 플랜을 통해 자동화 분야에서 프로세스 분석 기술을 습득하십시오.

프로세스 분석가 교육

Desenvolva suas habilidades de análise de processos na área de automação com este plano de aprendizado abrangente para analistas de processos!

Treinamento de analista de processos

Desenvolva as suas competências de análise de processos no espaço de automatização com este plano de aprendizagem abrangente para analistas de processos!

Formação para Analistas de Processos

Süreç analistleri için bu kapsamlı öğrenme planı ile otomasyon alanında süreç analizi becerilerinizi geliştirin.

Süreç Analisti Eğitimi

借助此面向流程分析师的全面学习计划，增强您在自动化领域的流程分析技能!

流程分析师培训

透過此適用於程序分析師的全面學習計畫，建立您在自動化領域的程序分析技能!