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Duration 21 hours
Course Outline
Overview
Initial Bot Configuration
- Examining the structural elements of automation agents
- Utilizing recording and replay mechanisms
- Application of variables and data structures within workflows
- Execution of fundamental operational tasks
- Troubleshooting protocols and exception management
- Core capabilities in A360 for defining tasks and workflows
Sophisticated Automation Engineering
- Processing Excel spreadsheets and CSV datasets
- Automated correspondence management
- Executing web-based interactions and database transactions
- Extracting data via Optical Character Recognition (OCR)
- Incorporating Python scripting and artificial intelligence modules
- Utilizing advanced A360 features surpassing version 11 standards
Release and Administrative Oversight
- Strategies for deploying automation assets
- Orchestrating execution schedules and lifecycle management
- Evaluating operational metrics and performance analytics
- Sustained maintenance and version control procedures
- Protocols for establishing scalable automation frameworks
Integration of AI and Cognitive Capabilities
- Foundations of Artificial Intelligence in RPA contexts
- Applying IQ Bot for automated document analysis
- Deploying Natural Language Processing (NLP) solutions
- Utilizing Machine Learning algorithms within Automation Anywhere
Operational Standards and Emerging Trajectories
- RPA governance frameworks and operational best practices
- Expanding RPA initiatives across organizational units
- Projected developments in RPA and digital automation
Conclusions and Subsequent Actions
Requirements
- Knowledge of standard administrative and operational workflows
- Proficiency with core programming logic and concepts
Target Audience
- IT specialists and systems administrators
- Business analysts supporting public sector operations
- Process engineers focused on workflow optimization
