Automation Anywhere A360

• Understanding of common business processes
• Familiarity with fundamental programming concepts

Audience

• IT professionals
• Business analysts
• Process engineers

Automation Anywhere A360 is a cloud-native, web-based Robotic Process Automation (RPA) platform developed by Automation Anywhere that offers a wide range of tools and features to automate complex business processes.

This instructor-led, live training (online or onsite) is aimed at intermediate-to-advanced level IT professionals who wish to be able to design, develop, and implement RPA solutions using Automation Anywhere A360.

By the end of this training, participants will be able to:

• Gain hands-on experience in creating, managing, and deploying bots using Automation Anywhere A360.
• Analyze business processes and develop automation solutions using A360.
• Learn advanced bot development skills such as cognitive automation, working with AI components, and integrating scripts for complex automation scenarios.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Building Your First Bot

• Understanding bot components and structures
• Record and playback features
• Using variables and data types in bots
• Implementing basic tasks with bots
• Debugging and error handling
• Key functionalities in A360 for task and flow creation

Advanced Bot Development

• Working with Excel and CSV files
• Email automation
• Implementing web and database automation
• Using OCR for data extraction
• Integrating python scripts and AI capabilities
• Leveraging A360 advanced functionalities over v11

Deployment and Management

• Bot deployment strategies
• Scheduling and managing bots
• Monitoring bot performance and analytics
• Maintenance and updating of bots
• Best practices for scalable automation

Working with AI and Cognitive Automation

• Introduction to AI in RPA
• Using IQ bot for intelligent document processing
• Implementing Natural Language Processing (NLP)
• Machine Learning models in Automation Anywhere

Best Practices and Future Trends

• RPA governance and best practices
• Scaling RPA in an organization
• Future trends in RPA and automation

Summary and Next Steps