Mastering Generative Design Al, Python & CAD AutomationPublished 5/2026
Created by Fabrigen Huf
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate |
Genre: eLearning |
Language: English |
Duration: 8 Lectures ( 2h 48m ) |
Size: 4.8 GB
⚡ Design digital twins for robotic cells and industrial automation systems.
⚡ Model mechanical structure, kinematics, sensors, and actuators in a virtual environment.
⚡ Implement and test automation control logic within the digital twin.
⚡ Run simulations to analyze throughput, bottlenecks, and system performance.
⚡ Validate safety, human-machine interaction, and ergonomics before deployment.
⚡ Build a complete end-to-end digital twin capstone project for your portfolio.
⚡ Apply generative design and AI-driven optimization techniques to automate 3D CAD workflows.
Requirements❗ Basic understanding of mechanics and kinematics.
❗ Familiarity with any CAD or robotics/automation tool is helpful but not mandatory.
❗ A computer capable of running 3D modeling or simulation software.
❗ Curiosity about generative design, AI, or Python scripting for CAD automation is a plus.
DescriptionThis course contains the use of artificial intelligence.
This hands-on course shows you how to design and simulate digital twins of robotic cells and industrial automation systems from scratch. You will learn how to translate a real-world automation problem into a virtual model, define the mechanical structure, add sensors and actuators, and integrate control logic so that your digital twin behaves like the physical system.
We start with the fundamentals of digital twins and Industry 4.0, then move into practical system modeling. You will create virtual representations of workstations, conveyors, or robotic cells, define kinematics and constraints, and connect them to automation logic. Step by step, you will learn how to run simulations, measure performance, and identify bottlenecks before anything is built in hardware.
The course emphasizes human-machine collaboration and safety. You will see how to use your digital twin to evaluate operator reach, safe zones, and ergonomic aspects, as well as to test abnormal scenarios and failure conditions. Throughout the course, you will work on an end-to-end capstone project: designing a complete automated workstation as a digital twin, from concept and modeling to simulation and validation.
By the end of the course, you will have a tangible portfolio project and a repeatable workflow that you can apply to real industrial problems, helping you reduce commissioning time, improve reliability, and communicate designs clearly to teams and clients.
Who this course is for⭐ Mechanical, industrial, and automation engineers who want to move into Industry 4.0.
⭐ Robotics and mechatronics students who want hands-on digital twin experience.
⭐ Professionals transitioning into smart manufacturing or factory automation roles.
⭐ Design enthusiasts and Python learners eager to automate and optimize 3D CAD workflows using AI.
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