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Industry-aligned courses designed to make you job-ready from day one

PLM Windchill Mastery Track

From Basics to Enterprise Architect

🎯 Objective: End-to-end mastery of Windchill PLM for Configuration Management, BOM, Change Processes, and ECAD/MCAD integration – aligned with global deployment scenarios.

🧩 Level 1: Foundations

  • Windchill Architecture & Modules Overview (PDMLink, MPMLink, ProjectLink)
  • Introduction to Objects: WTPart, Document, CAD Document
  • Lifecycle & Versioning Concepts
  • Access Control & Team Roles

⚙️ Level 2: Intermediate Concepts

  • Configuration Management (Lifecycles, Soft Types, Object Initialization Rules)
  • BOM Management: EBOM, MBOM, Occurrence Usage, Views
  • Change Management (CR/CN/Promotion Requests)
  • Workflow Basics: Process Template Creation

🚀 Level 3: Advanced Practitioner Topics

  • ECAD/MCAD Integration (Creo, SolidWorks, Altium with XPLM)
  • MPMLink for Manufacturing Process Planning
  • Document & CAD Structure Synchronization
  • Part Classification & Variant Management

🧠 Level 4: Customization & Extension

  • Info*Engine & Windchill REST APIs
  • Business Rules: OIR, ACL, Data Validation, Listener Events
  • Report Builder & Custom UI Widgets (Action/Commands)

🛠 Level 5: Enterprise Implementation & Strategy

  • Data Migration & Legacy Import (Excel Loader, Windchill Loader)
  • ERP Integration (SAP, Oracle using Windchill ESI)
  • PLM-ALM Integration Strategy
  • CM2 & Regulatory Compliance (Medical/Automotive Use Case)

Siemens Teamcenter Masterclass

Deploying Digital Threads

🎯 Objective: Train engineers, consultants, and architects on BOM, MRO, workflow automation, and deployment strategies across industries.

🧩 Level 1: Foundations

  • Teamcenter Basics & Architecture
  • Introduction to Item, Dataset, Revision & Workspace
  • Lifecycle Management & Release Flow
  • Basic Searches, Revisions, and Change Objects

⚙️ Level 2: Intermediate BOM & Workflow Configuration

  • BOM View, Contexts, Occurrences, Alternate BOM
  • Classification, Properties, and Attribute Inheritance
  • Workflow Designer: Handlers, Rules, Review/Approval Flow
  • Access Management & Role Permissions

🚀 Level 3: Advanced Use Cases

  • Variant Configuration using Product Configurator
  • Change Management with Impact Analysis
  • MRO BOMs for Aerospace & Defense
  • Visualization (JT2Go, Teamcenter Visualization)

🧠 Level 4: Customization & BMIDE

  • BMIDE Deep Dive: Data Model, Extensions, LOVs, Stylesheets
  • Custom Business Rules and Handlers
  • Teamcenter Reporting & Analytics Configuration
  • Active Workspace Custom UI & Integration

🛠 Level 5: Implementation Strategy & Scaling

  • Multi-site Teamcenter Deployment
  • Teamcenter-ERP Integration (SAP, Infor)
  • Teamcenter Data Migration & Cleanup
  • Digital Thread Strategy for Connected Engineering

Cloud Solutions for PLM & Engineering

AWS / Azure DevOps

🎯 Objective: Cloud-first design for PLM hosting, DevOps pipelines, and infrastructure automation for Windchill/Teamcenter.

🧩 Level 1: Cloud Infrastructure Basics

  • AWS & Azure Overview for Engineering Systems
  • Compute, Storage, Networking Essentials
  • IAM & Security Models
  • Basic CLI & Console Management

⚙️ Level 2: Intermediate Cloud DevOps

  • IaaS vs PaaS vs SaaS: Which PLM Model?
  • CI/CD for PLM Deployments
  • Dockerization of PLM Microservices
  • Terraform Scripts for Infrastructure as Code

🚀 Level 3: Advanced Cloud Integration

  • High Availability for PLM Systems (Load Balancing, Auto Scaling)
  • Backup, Disaster Recovery & DR Drills
  • Azure DevOps Pipelines for Teamcenter Custom Code
  • AWS CodePipeline for Windchill Deployments

🧠 Level 4: Custom Cloud Architectures

  • Hybrid Cloud (On-prem + AWS/Azure) PLM Models
  • Securing Windchill or Teamcenter over VPN/VPC
  • Monitoring using Prometheus, Grafana

🛠 Level 5: Real-World Implementation Scenarios

  • PLM Cloud Migration Strategy (Checklist + Tools)
  • ROI of Cloud vs On-Prem PLM
  • Industry Templates: Automotive, Aero, Medical Devices
  • DevOps SRE Best Practices in PLM Support

AI/ML for Engineers

Applied Intelligence for Industry 4.0

🎯 Objective: Upskill engineering & PLM professionals with practical AI/ML to automate, optimize, and innovate engineering workflows.

🧩 Level 1: AI/ML Basics for Engineers

  • Python Essentials for AI/ML
  • Numpy, Pandas, Scikit-learn Basics
  • Supervised vs Unsupervised Models
  • Data Preparation & Visualization

⚙️ Level 2: NLP & ChatGPT Integration

  • Basics of LLMs and ChatGPT APIs
  • Embeddings for Engineering Document Search
  • Building Technical Support Chatbots using LangChain
  • Prompt Engineering for Engineering Workflows

🚀 Level 3: Applied Models for Industry 4.0

  • Predictive Maintenance (Sensor Time-Series Models)
  • Defect Detection from Image Datasets
  • Text Classification using BERT (Change Requests, DMRs)
  • AI for BOM/Doc Automation

🧠 Level 4: Advanced Architectures

  • Model Deployment using FastAPI & Streamlit
  • Vector Databases for PLM Document Search
  • Custom GPTs for Engineering Helpdesks

🛠 Level 5: Enterprise Strategy & Innovation

  • Generative AI in PLM & CAD
  • AI Governance & Explainability
  • Industry Use Cases: EV, Aerospace, Medical, Machinery
  • AI-Powered PLM Decision Cockpit Dashboards

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