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Course Outline
Overview
Fundamentals of Bot Development
- Examination of bot architecture and core components
- Utilization of record and playback capabilities
- Application of variables and data types within bot logic
- Execution of standard automation tasks
- Troubleshooting methodologies and exception handling
- Essential tools in A360 for establishing workflows
Advanced Development Techniques
- Processing structured data from Excel and CSV sources
- Automation of email communication
- Implementation of web interface and database integration
- Application of Optical Character Recognition (OCR) for data retrieval
- Integration of Python scripts and artificial intelligence modules
- Advancement of capabilities in A360 relative to version 11
Deployment and Lifecycle Management
- Strategies for bot deployment
- Scheduling protocols and operational management
- Performance monitoring and analytical reporting
- Maintenance procedures and version updates
- Guidelines for ensuring scalable automation infrastructure
Artificial Intelligence and Cognitive Automation
- Overview of AI integration within Robotic Process Automation (RPA)
- Leveraging IQ Bot for intelligent document processing
- Implementation of Natural Language Processing (NLP) techniques
- Deployment of machine learning models within Automation Anywhere environments
Governance Standards and Strategic Outlook
- RPA governance frameworks and compliance standards
- Enterprise-wide scaling of RPA initiatives
- Emerging developments in automation technology
Conclusion and Implementation Roadmap
Requirements
- Knowledge of standard organizational workflows
- Proficiency in essential coding principles
Intended Audience
- Information technology specialists
- Enterprise analysts
- Workflow engineers
21 Hours