Undergraduate Certificate in Digital Fabrication using AI-Powered CAD
-- ViewingNowThe Undergraduate Certificate in Digital Fabrication using AI-Powered CAD is a comprehensive course designed to equip learners with essential skills in digital fabrication and AI-powered Computer-Aided Design (CAD). This certificate program is critical in today's industry, where there is an increasing demand for professionals who can design and fabricate innovative products using cutting-edge technology.
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⢠Introduction to Digital Fabrication · Understanding the basics of digital fabrication, including various technologies, processes, and materials.
⢠AI-Powered CAD · Learning to use computer-aided design (CAD) software powered by artificial intelligence, focusing on creating accurate and detailed models.
⢠3D Modeling · Mastering the principles of 3D modeling, including NURBS, meshes, and solids, and learning to create complex shapes for digital fabrication.
⢠CNC Machining · Understanding the basics of computer numerical control (CNC) machining, including milling, turning, and drilling, and learning to create toolpaths for CNC machines.
⢠3D Printing · Learning the fundamentals of 3D printing, including selecting materials, setting up prints, and troubleshooting common issues.
⢠Laser Cutting · Understanding the principles of laser cutting, including setting up files, adjusting settings, and maintaining the machine.
⢠Digital Fabrication for Architecture · Exploring applications of digital fabrication in architecture, including facade design, structural components, and building systems.
⢠Digital Fabrication for Product Design · Learning to use digital fabrication tools and techniques for product design, including rapid prototyping, mass customization, and small-scale manufacturing.
⢠Digital Fabrication for Art · Understanding how digital fabrication can be used in art and design, including creating sculptures, installations, and interactive experiences.
⢠Advanced AI-Powered CAD · Mastering advanced features of AI-powered CAD software, including parametric design, generative algorithms, and data-driven design.
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