The Pega Certified System Architect (CSA) certification is the foundational credential for professionals who work on Pega applications. It focuses on building robust applications using Pega's low-code platform.

The details of the course is 

1. Introduction to Pega Platform

• Overview of Pega as a low-code application platform.
• Key features: Case Management, Decisioning, and Automation.
• Pega’s architecture and components:
• App Studio, Dev Studio, Admin Studio, and Prediction Studio.
• Application layers:
• Enterprise, Framework, and Implementation layers.

2. Application Design

• Direct Capture of Objectives (DCO): Capturing requirements within Pega.
• Case lifecycle management:
• Designing workflows using stages and steps.
• Subcases and child cases.
• Application development guardrails and best practices.

3. Case Management

• Defining cases and their structure.
• Stages, steps, and processes in case lifecycle.
• Service Level Agreements (SLAs):
• Goals, deadlines, and escalation actions.
• Work queues and assignments:
• Routing tasks based on skills, roles, or availability.

4. Data Modeling

• Properties: Single Value, Value List, and Value Group.
• Data Types: Structuring reusable data models.
• Data Pages: Loading and caching data on demand.
• Data Transform: Mapping and transforming data between objects.

5. User Interface (UI) Development

• Designing reusable UI components:
• Sections, layouts, and harnesses.
• Controls like input fields, dropdowns, and buttons.
• Dynamic behaviors:
• Visibility conditions and event actions.
• Responsive design principles for multi-device compatibility.
• Skins and themes for styling applications.

6. Declarative Processing

• Declarative rules:
• Declare Expressions for automatic calculations.
• Constraints for property validation.
• Declare Triggers to automate actions on data changes.

7. Business Rules and Decision Management

• Decision Rules:
• Decision Tables, Decision Trees, and Decision Maps.
• When Rules:
• Defining conditional logic for processing.
• Eligibility and validation rules:
• Enforcing business logic and constraints.

8. Integration

• Connectors:
• Configuring REST, SOAP, and database connectors.
• Services:
• Exposing Pega functionality via REST or SOAP APIs.
• Data integration best practices.
• Error handling during integrations.

9. Reporting and Analytics

• Report definitions:
• Configuring real-time reports.
• Grouping, filtering, and summarizing data.
• Drill-down reports:
• Analyzing data at a detailed level.
• Exporting reports and sharing insights.

10. Security

• Access Control:
• Access Groups, Roles, and Privileges.
• Authentication mechanisms:
• SSO, OAuth, LDAP.
• Rule security and access restrictions.

11. Debugging and Performance Optimization

• Debugging tools:
• Tracer and Clipboard.
• Performance analysis tools:
• PAL (Performance Analyzer) and Log Analyzer.
• Application performance tuning:
• Optimized data pages and query performance.

12. Deployment and Rule Management

• Rule Resolution:
• How Pega selects and applies the most appropriate rule.
• Rule Sets and Versions:
• Organizing and versioning rules.
• Packaging applications:
• Product rules for deployment.
• Application migration between environments.

13. Additional Features

• Introduction to Pega’s AI and decisioning capabilities.
• Case collaboration features like Pulse.
• Using Pega Platform for robotic process automation (RPA).