Course Modules

Module 1: Foundations of Robotic Process Automation

• Evolution of business process automation
• Introduction to RPA concepts and technologies
• Benefits and limitations of RPA
• RPA use cases in BPO operations
• Automation maturity models and business value

Case Study & Practical Application:

Analyzing a customer support and back-office operation to identify automation opportunities and estimate potential efficiency gains.

Module 2: Process Discovery and Automation Assessment

• Business process mapping techniques
• Process mining and task analysis
• Identifying automation candidates
• Cost-benefit and ROI analysis
• Prioritization frameworks for automation projects

Case Study & Practical Application:

Conducting an automation assessment for customer onboarding, invoice processing, and claims management workflows.

Module 3: RPA Architecture and Platform Components

• RPA platform architecture
• Bots, orchestrators, and control rooms
• Attended vs unattended automation
• Infrastructure requirements
• Cloud-based and on-premise deployment models

Case Study & Practical Application:

Designing an RPA architecture for a multi-location BPO organization supporting customer service and finance operations.

Module 4: Bot Design and Workflow Development

• Workflow design principles
• Automation development lifecycle
• User interface automation techniques
• Data extraction and manipulation
• Exception handling and error management

Case Study & Practical Application:

Developing an automated workflow for customer data capture, validation, and CRM system updates.

Module 5: Intelligent Automation and System Integration

• OCR and Intelligent Document Processing (IDP)
• API integration techniques
• Artificial Intelligence and Machine Learning integration
• Human-in-the-loop automation models
• End-to-end process orchestration

Case Study & Practical Application:

Integrating OCR and AI technologies into an automated document verification and processing workflow.

Module 6: Testing, Deployment and Change Management

• Automation testing methodologies
• User acceptance testing (UAT)
• Bot deployment strategies
• Version control and release management
• Change management and stakeholder engagement

Case Study & Practical Application:

Developing a deployment and change management plan for enterprise-wide automation implementation.

Module 7: Bot Monitoring, Maintenance and Performance Optimization

• Bot monitoring frameworks
• Performance measurement and KPIs
• Incident management and troubleshooting
• Continuous improvement methodologies
• Automation support models

Case Study & Practical Application:

Analyzing bot performance data and implementing optimization measures to improve reliability and throughput.

Module 8: Governance, Security and Compliance in RPA

• Automation governance frameworks
• Security controls and credential management
• Data privacy and protection requirements
• Regulatory compliance considerations
• Risk management in automation environments

Case Study & Practical Application:

Conducting a governance and security assessment for an RPA program handling sensitive customer and financial data.

Module 9: Scaling Automation and Building an RPA Center of Excellence

• Enterprise automation strategies
• Establishing an RPA Center of Excellence (CoE)
• Workforce transformation and reskilling
• Measuring automation success and ROI
• Hyper-automation and future trends

Case Study & Practical Application:

Designing an enterprise automation roadmap and Center of Excellence framework for a large BPO organization.

Module 10: Automation Case Studies, Best Practices and Capstone Project

• Global automation implementation experiences
• Lessons learned from successful RPA deployments
• Emerging trends in intelligent automation
• Future of AI-driven process automation
• Project presentations and peer review

Case Study & Practical Application:

Development of a comprehensive Robotic Process Automation strategy and implementation roadmap for a BPO organization, including process selection, governance, deployment, and performance optimization plans.