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 Duration 21 hours

Course Outline

Introduction

Creating Your Initial Bot

  • Exploring bot architecture and components
  • Utilizing recording and playback capabilities
  • Applying variables and data types within bots
  • Executing fundamental tasks using bots
  • Troubleshooting and managing errors
  • Essential A360 features for building tasks and flows

Advanced Bot Engineering

  • Processing Excel and CSV documents
  • Automating email communications
  • Executing web and database automation
  • Employing OCR for data retrieval
  • Combining Python scripts with AI features
  • Utilizing A360's advanced capabilities beyond v11

Deployment and Administration

  • Strategies for bot deployment
  • Scheduling and bot administration
  • Tracking bot performance and analyzing metrics
  • Bot maintenance and updates
  • Best practices for scalable automation

Integrating AI and Cognitive Automation

  • Overview of AI in RPA
  • Using IQ bot for intelligent document handling
  • Applying Natural Language Processing (NLP)
  • Machine Learning models within Automation Anywhere

Best Practices and Emerging Trends

  • RPA governance and standard practices
  • Scaling RPA across an organization
  • Future directions in RPA and automation

Conclusion and Next Steps

Requirements

  • A solid grasp of standard business operations
  • Basic knowledge of core programming principles

Target Audience

  • IT specialists
  • Business analysts
  • Process engineers

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