Digital Twin Applications in Automotive Engineering

Partner: Udemy
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Description: The future of automotive engineering is here — and it’s digital, dynamic, and data-driven.In this in-depth course, you'll explore how Digital Twin technology is transforming the design, testing, optimization, and lifecycle management of modern vehicles. From high-fidelity simulation to predictive maintenance and real-time telemetry, digital twins are changing how we build and operate intelligent, high-performance automotive systems.Whether you're an engineer, product developer, systems architect, or technical leader — this course will equip you with the tools and frameworks to understand, apply, and lead in the age of digital twins.What You’ll Learn Core concepts behind digital twins and their evolution in automotive systems How digital twins are applied across design, simulation, control, and testing The role of MBSE (Model-Based Systems Engineering) and digital thread integration Fleet-wide data collection, edge computing, and cloud-twin synchronization Predictive maintenance, OTA updates, and real-world industry case studies Future trends: AI-augmented twins, quantum simulation, neuromorphic control, and blockchain Who This Course is ForMechanical, Automotive, and Mechatronics EngineersEmbedded Systems and Control EngineersR&D and Product Development TeamsMBSE Practitioners and Systems EngineersFleet Managers, Diagnostics, and Reliability ProfessionalsGraduate Students and Industry Transitioners exploring AI, IoT, or Smart Manufacturing What You NeedA basic understanding of mechanical or automotive systemsFamiliarity with engineering modeling, simulation, or system designNo prior experience with digital twins, AI, or programming is requiredBy the end of this course, you’ll be able t
Category: Design > Other Design > Automotive Engineering
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Price: 19.99
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Source: Impact
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