Learn Robotic Process Automation(1st Edition)
Authors:
Husn Ara
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Book details
ISBN: B0DJ3349T5, 979-8340501301
Book publisher: Independently published
Book Summary: The "Learn Robotic Process Automation" Book Is Designed As A Comprehensive Guide To Understanding And Mastering Robotic Process Automation (RPA). It Takes Readers Through The Fundamentals Of RPA, The Tools And Technologies Used In Automation, And Practical Use Cases. The Book Is Suitable For Beginners, IT Professionals, And Business Users Who Want To Leverage Automation For Process Efficiency.Key Sections Of The Book:1. Introduction To RPAWhat Is RPA?: Explains The Concept Of RPA As A Technology That Enables Software Robots To Automate Repetitive, Rule-based Tasks That Are Typically Done By Humans.Importance Of RPA: Highlights The Benefits Of RPA, Including Increased Productivity, Accuracy, And Cost Savings, And How It Can Transform Business Processes Across Industries.Types Of RPA: Introduces Different Types Of RPA, Including Attended And Unattended Automation.2. Understanding RPA ToolsOverview Of Popular RPA Tools: A Review Of The Most Popular RPA Platforms Like UiPath, Blue Prism, And Automation Anywhere.Choosing The Right Tool: Criteria For Selecting The Best RPA Tool Based On Business Needs, Scalability, And Ease Of Use.Key Features Of RPA Tools: Describes Features Like Drag-and-drop Interfaces, Workflow Builders, Exception Handling, And Integration Capabilities.3. Building Bots: Step-by-Step ProcessBot Development Life Cycle: Details The Stages Involved In Building RPA Bots, From Identifying Processes To Automating, To Deployment And Monitoring.Designing A Workflow: How To Use RPA Tools To Design Workflows, Automate Tasks Like Data Extraction, And Integrate Systems.Automation For Beginners: Hands-on Exercises For Building Simple Bots To Automate Repetitive Tasks Like Form Filling, Data Entry, And Report Generation.4. Advanced RPA ConceptsScreen Scraping And API Integrations: Discusses Methods For Data Extraction From Different Sources Like Websites, Databases, And Applications.Error Handling And Debugging: Techniques For Managing Errors And Exceptions In Automated Workflows To Build Resilient Bots.Cognitive Automation: An Introduction To Integrating Artificial Intelligence (AI) And Machine Learning (ML) Into RPA For Automating Decision-making Tasks.5. Best Practices In RPA ImplementationProcess Identification And Optimization: Guidance On Selecting The Right Processes For Automation And Improving Them Before Automation.Scalability: Strategies For Scaling RPA Solutions Across Departments And Handling Larger Workloads.Security And Compliance: Ensures That Automated Processes Comply With Regulatory Standards Like GDPR And HIPAA.6. RPA In Action: Use CasesIndustry-Specific Applications: Examples Of How RPA Is Used In Various Sectors Such As Finance, Healthcare, Human Resources, And Manufacturing.Case Studies: Success Stories From Organizations That Have Deployed RPA To Improve Operational Efficiency And Reduce Costs.7. Future Of RPAHyperautomation: Discusses The Emerging Trend Of Combining RPA With AI, ML, And Other Technologies For More Advanced Automation Solutions.Trends To Watch: Provides Insights Into The Future Of Automation, Including Intelligent Process Automation, And How RPA Is Evolving.
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