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Change Technology

Product Data Management (PDM/PLM) Training

Product Data Management (PDM) and Product Lifecycle Management (PLM) are enterprise solutions that help organizations manage product information, engineering data, design revisions, workflows, and collaboration throughout the entire product lifecycle. These systems provide a centralized repository for product-related data, ensuring consistency, traceability, and efficient collaboration across engineering, manufacturing, and business teams.

PDM and PLM platforms support capabilities such as document management, CAD file management, version control, engineering change management (ECM), bill of materials (BOM) management, configuration management, workflow automation, compliance tracking, and product lifecycle governance. By connecting design, engineering, manufacturing, quality, procurement, and service operations, they improve productivity, reduce errors, and accelerate product development.

PDM and PLM solutions are widely used across industries including automotive, aerospace, industrial manufacturing, electronics, medical devices, consumer products, defense, and energy. Leading platforms include PTC Windchill, Siemens Teamcenter, Dassault Systèmes ENOVIA, Autodesk Vault, and Aras Innovator.

Learning PDM and PLM helps professionals develop expertise in engineering data management, product lifecycle processes, digital engineering, collaboration, and product governance, making it valuable for engineers, product managers, manufacturing professionals, and PLM administrators.

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History of Product Data Management (PDM/PLM)

The concept of Product Data Management (PDM) emerged to help engineering teams organize and control CAD files, technical documents, and design revisions. As product development became more complex and collaborative, PDM evolved into Product Lifecycle Management (PLM), extending beyond engineering to manage every stage of a product's lifecycle—from concept and design to manufacturing, maintenance, and retirement.

Over the years, PLM platforms have integrated with CAD, ERP, MES, CRM, and supply chain systems, enabling organizations to establish connected digital engineering environments. Today, PDM and PLM are essential components of modern digital product development and Industry 4.0 initiatives.

Recent Trends in Product Data Management (PDM/PLM)

PDM and PLM are evolving alongside trends in digital twins, artificial intelligence, cloud computing, and Industry 4.0. One major trend is the increasing adoption of cloud-native PLM platforms, enabling globally distributed engineering teams to collaborate securely and efficiently.

Another key trend is the integration of AI, IoT, digital twins, simulation, and manufacturing execution systems (MES), allowing organizations to manage product data across the entire lifecycle while enabling predictive analytics and continuous product improvement. PLM platforms are also enhancing support for model-based systems engineering (MBSE), software-defined products, and sustainability reporting.

Additionally, there is growing demand for automated engineering change management, regulatory compliance, supply chain collaboration, and digital thread initiatives, helping organizations accelerate innovation while improving product quality and governance. With continuous advancements, PDM and PLM remain foundational technologies for digital product development and enterprise engineering management.

Ans - No, the published fee includes all applicable taxes.

Yes, course requiring practical include hands-on labs.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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