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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