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Course Outline

Introduction

Constructing Your Initial Bot

  • Exploring bot architecture and component structures
  • Utilizing record and playback capabilities
  • Applying variables and data types within bots
  • Executing fundamental tasks through bots
  • Troubleshooting and error management
  • Leveraging A360 core features for task and flow construction

Sophisticated Bot Engineering

  • Processing Excel and CSV files
  • Automating email workflows
  • Implementing web and database automation
  • Extracting data using OCR technology
  • Integrating Python scripts and AI features
  • Utilizing A360 advanced features compared to v11

Release and Administration

  • Strategies for bot deployment
  • Scheduling and operational bot management
  • Tracking performance metrics and analytics
  • Routine maintenance and bot updates
  • Best practices for scalable automation frameworks

Integrating AI and Cognitive Automation

  • Overview of AI applications in RPA
  • Deploying IQ bot for smart document processing
  • Applying Natural Language Processing (NLP)
  • Incorporating Machine Learning models within Automation Anywhere

Industry Standards and Emerging Trends

  • RPA governance and optimal practices
  • Scaling RPA initiatives across organizations
  • Future directions in RPA and automation technologies

Conclusion and Road Ahead

Requirements

  • Basic comprehension of standard business processes
  • Proficiency in core programming principles

Target Audience

  • IT specialists
  • Business analysts
  • Process engineers
 21 Hours

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