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πŸ”₯ Ongoing Batch β€’ AWC Customization

Teamcenter Active Workspace (AWC) Customization Training

Learn how to customize AWC UI end-to-end with real project examples: ViewModel JSON, commands, panels, stylesheets, SPLM tables, SOA integration and RBUI.

Limited Seats Hands-on Live Training Code + Assignments

🎯 What You Will Learn

  • AWC architecture, environment setup & development structure.
  • Declarative UI & ViewModel JSON fundamentals.
  • Custom commands, panels, tiles & workspaces.
  • Stylesheets (Summary, Info, Revise, Save-As and more).
  • SPLM table customization – custom columns, renderers & actions.
  • Property policies, data providers & preferences.
  • Custom search tiles, secondary work area & navigation.
  • SOA integration & RBUI-based access control in AWC.

✨ Training Highlights

Real AWC Customizations Work on scenarios inspired from actual customer implementations.
Code & ViewModel Samples Get reusable JSON, JS and configuration examples.
Lifetime Reference Material Keep the notes, diagrams and examples for future projects.
Focused on Implementation Less theory, more hands-on and best practices.

πŸ‘¨β€πŸ« Instructor

Prakash
Teamcenter AWC Expert & CAD2PLM Trainer
Multiple successful AWC training batches with real industry use-cases.
πŸ“’ Enroll Now – Current AWC Batch

To get the detailed syllabus, fees, timings and demo session access:

Join via WhatsApp ➑️ Or send β€œYES – AWC” on WhatsApp.
Online β€’ Live
CAD2PLM | PLM Training
Job-Ready AWC Skillset

Ideal for working professionals who already know Teamcenter basics and want to move into AWC-focused roles.

  • Great for TC Developers & Admins (2–10 yrs exp).
  • Helpful for PLM consultants in customer projects.
  • Boosts profile for AWC-specific openings.

πŸ“š Mini Syllabus Snapshot

  • Setup & architecture.
  • Modules, commands & panels.
  • Stylesheets & SPLM tables.
  • Search configuration & tiles.
  • SOA integration & RBUI.
100% Practical Live Coding Code Included Recording Access*

*Recording/Access policy depends on the batch and will be shared at the time of joining.