
Pega is a low-code software platform that transforms business processes with BPM, RPA, and CRM capabilities, using the situational layer cake and case lifecycle across four studios for reusable deployments.
Explore Pega case management by designing a case lifecycle with stages, processes, and steps, and configuring rules, rule sets, and assignments for a life care insurance scenario.
Master pega case lifecycle for a care insurance case type, covering stages, an alternate rejection path, SLA goals, status, instructions, views, and class structure.
Learn how Pega class structure, configuration, and data models drive routing and approvals in an insurance application, including work lists, work baskets, and pattern versus direct inheritance.
Learn how to configure optional actions in a Pega case, including case-wide and stage actions, cascading approvals, decision rules, automation steps, and correspondence rules for automated emails.
Master Pega case life cycle and case types, learn optional actions, approvals, and automation steps, including child cases, pdf generation, and list data concepts.
Use the clipboard to examine case data and learn to copy home address to work address with a data transform, plus default data and superclass data transform concepts.
Learn declarative processing in pega, including declare expressions, declare onchange, declare trigger, declare index, and constraints, with forward and backward chaining and real-world age calculation from date of birth.
Explore client-side and server-side validation in Pega, using validation rules, edit validate rules, constraints rules, and property type rules, with practical flow action examples for instant feedback.
Define reusable data types in Pega by grouping attributes into data objects and choosing abstract or concrete classes, link to local or external sources and reuse fields across case types.
Explore data pages in pega: distinguish page versus page list, learn read only, editable, and savable modes, and master scope, data sources, and load management strategies.
Learn to design saveable and asynchronous data pages in pega, using keyed access and page lists to fetch multi-row data and feed reports and dashboards.
Explore creating and configuring charts in Pega report definitions, including aggregations, chart types, and legends, then learn data access, scheduling, and cascading drop-down demonstrations.
Learn to configure skin rules with CSS and JavaScript to build custom controls for Pega UI, and master access group, rule set versioning, and rule delegation.
Explore advanced Pega activity concepts, learn how to create and test activities, and master integration with connectors and services, including tracer and operator integration in dev studio.
Become a Pega Certified System Architect (CSA) with this comprehensive course! Dive deep into the world of low-code development and learn to design, build, and deploy robust Pega applications.
This course is your roadmap to mastering Pega's architecture, case management, decision management, and integration capabilities. Gain hands-on experience with real-world scenarios and best practices. Whether you're a developer, business analyst, or IT professional, this course equips you with the skills to excel in Pega application development. Delve deep into the core concepts of Pega architecture, including class structure, rules, and case management. Learn how to build intelligent applications using decision management and predictive analytics. Gain hands-on experience with real-world scenarios and best practices. Are you ready to take your Pega skills to the next level and become a certified system architect? This comprehensive course is designed to equip you with the knowledge and expertise needed to excel in designing, developing, and implementing complex Pega-based business applications. By the end of this course, you will be able to:
Understand Pega's rule-based architecture and design principles
Master case management, worklists, and automated processes
Build intelligent applications using decision management and predictive models
Integrate Pega with external systems and data sources
Apply Pega best practices for efficient application development