Module 1: Introduction to Pega Platform and BPM

• Overview of Business Process Management (BPM) and its importance
• Introduction to Pega Platform: features, architecture, and key components
• Understanding Pega’s model-driven architecture
• Introduction to Pega’s role in case management and process automation
• Overview of Pega Express and App Studio for low-code development

Module 2: Pega Platform Setup and Environment

• Setting up the Pega development environment
• Navigating Pega Studio (App Studio, Dev Studio, Admin Studio, Prediction Studio)
• Understanding Pega’s rules-based architecture and application layers
• Creating your first Pega application: basic setup and configuration
• Building case types, stages, and steps for process automation

Module 3: Creating Case Management Solutions

• Introduction to case management and its role in BPM
• Designing case types, workflows, and stages in Pega
• Configuring service-level agreements (SLAs) for case progression
• Implementing case assignments, approvals, and escalations
• Managing case lifecycle, routing, and exceptions

Module 4: Process Flow Design and Workflows

• Defining process flows using Pega’s flow rules
• Designing simple and complex process workflows
• Implementing subprocesses, parallel processing, and flow actions
• Automating decision-making using decision rules and conditions
• Optimizing workflows for efficiency and scalability

Module 5: UI and UX Design in Pega

• Designing user interfaces with Pega’s UI framework
• Creating dynamic forms, fields, and sections
• Using Pega’s layout templates to build responsive applications
• Customizing user interfaces for different devices (desktop, mobile)
• Implementing best practices for UX in case and process management

Module 6: Data Modeling and Integration in Pega

• Introduction to Pega’s data models: data types, properties, and classes
• Managing data in Pega: data pages, data transforms, and reports
• Integrating with external systems using REST, SOAP, and APIs
• Configuring connectors and services for data exchange
• Implementing best practices for secure and efficient data integration

Module 7: Decision Rules and Logic Automation

• Understanding decision rules and their importance in automation
• Configuring decision tables and decision trees
• Implementing When rules and expressions for conditional logic
• Automating decision-making with Pega’s decision strategy manager
• Integrating decision rules into workflows for dynamic process flow

Module 8: Declarative Rules and Process Automation

• Introduction to declarative rules and their role in Pega
• Configuring declarative expressions and constraints for automation
• Implementing forward and backward chaining in decision-making
• Using declare triggers to automate data updates
• Managing dependencies and ensuring data consistency with declarative rules

Module 9: Security and Access Control in Pega

• Overview of Pega’s security model: roles, privileges, and access groups
• Implementing role-based access control in Pega applications
• Configuring authentication and authorization mechanisms
• Managing user roles, portals, and dashboards for different stakeholders
• Implementing security best practices for Pega applications

Module 10: Reporting and Analytics in Pega

• Introduction to Pega’s reporting features and tools
• Designing and generating reports for case and process monitoring
• Configuring charts, dashboards, and widgets for real-time analytics
• Implementing Key Performance Indicators (KPIs) and service-level agreements (SLAs)
• Using Pega’s built-in analytics for process optimization

Module 11: Testing, Debugging, and Deployment

• Testing Pega applications using Pega Unit and Pega Scenario testing
• Debugging workflows and processes using Tracer and Clipboard tools
• Managing rulesets and versions for application updates
• Packaging and migrating Pega applications across environments
• Best practices for deployment and continuous integration

Module 12: Advanced Pega Topics: Case Management and AI

• Advanced case management techniques: case hierarchies and case dependencies
• Introduction to Pega’s AI capabilities and predictive analytics
• Using Pega’s Prediction Studio for machine learning model integration
• Configuring Pega’s natural language processing (NLP) tools
• Implementing intelligent process automation with Pega’s AI capabilities

Module 13: Capstone Project: Building an End-to-End Pega Application

• Selecting a real-world business problem for automation using Pega
• Designing and developing a complete Pega application
• Implementing case management, decision rules, and workflows
• Integrating data sources, reports, and dashboards
• Presenting the capstone project with a detailed application demo