Learn to work across the full professional engineering software stack — CAD, CAE, FEA, CFD, BIM, simulation, PCB design, GIS, numerical computing, programming, automation, digital twins, and AI-assisted engineering — and how to integrate them into one reliable workflow instead of a set of disconnected tools.
20 modules from CAD platform fundamentals through a capstone digital engineering workflow project, with worked examples, quizzes, and a certificate of completion.
Parametric and direct-modeling MCAD, 2D drafting, and the major CAD platforms engineers work across.
Computer-aided engineering as a discipline — where CAE sits relative to CAD and CAM, and its major analysis families.
Finite element analysis fundamentals — meshing, boundary conditions, linear vs. nonlinear solves, and result interpretation.
Computational fluid dynamics — governing equations, turbulence modeling, mesh strategy, and convergence.
Building information modeling, parametric building objects, clash detection, and multidiscipline coordination.
System-level and multiphysics simulation beyond single-domain FEA/CFD, and model-based design.
Schematic capture, layout, routing constraints, and manufacturing outputs for printed circuit boards.
Geographic information systems for civil, environmental, and infrastructure engineering workflows.
MATLAB/Python-class numerical tools, matrix computation, and where engineers reach for them over CAD/CAE.
Practical programming skills engineers need — scripting, data handling, and automation-ready code habits.
Macro recording, API-driven automation, and batch workflows across CAD, CAE, and PDM systems.
Digital twin architecture, the model-sync problem, and where digital twins diverge from static simulation.
Connecting CAD, CAE, PLM, and ERP systems into one coherent toolchain instead of isolated point tools.
Neutral formats (STEP, IGES, IFC), translation fidelity, and what survives — and what doesn’t — in a round trip.
Generative design, AI-assisted simulation setup, and where AI tooling fits into a professional workflow today.
Identifying and removing bottlenecks across a multi-software engineering workflow.
Diagnosing failed imports, broken references, non-converging solves, and corrupted files.
Running one real project across CAD, CAE, and PDM/PLM without losing data fidelity or version control.
Licensing models, IT/IT infrastructure considerations, documentation standards, and software governance.
A final integrated project tying CAD, CAE, PCB, data exchange, and automation together end to end.