Module 6: Robotics Process Automation (RPA)

• Defining RPA and its significance
• Key components and terminology in RPA
• Overview of popular RPA tools (e.g., UiPath, Blue Prism)
• Comparison and selection criteria
• Real-world scenarios where RPA can be applied
• Analyzing the impact of RPA on business processes

Module 7: RPA Development

• Designing and developing RPA workflows
• Handling exceptions and errors in RPA processes
• Scripting languages for customizing RPA solutions
• Advanced coding techniques for RPA development
• Integrating RPA with enterprise systems (e.g., ERP, CRM)
• Data exchange and communication protocols

Module 8: Cognitive Automation

• Understanding cognitive computing in the context of RPA
• Cognitive automation vs. traditional RPA
• Incorporating NLP for text analysis and understanding
• Building language models for RPA bots
• Implementing image recognition for process automation
• Pattern matching techniques in RPA

Module 9: Case Studies and Projects

• Examining successful implementations of Robotics and RPA
• Learning from industry case studies
• Applying learned concepts to real-world scenarios
• Developing and presenting RPA projects