AI-Driven Computational Design

Master cutting-edge AI and machine-learning techniques to optimize design, modernize manufacturing, and secure a competitive edge in your industry.

This Course Is Designed For:

Design and engineering professionals seeking to modernize product design and optimize manufacturing processes through AI-generated solutions.

Manufacturing and production specialists looking to optimize production, enhance operations, improve resource utilization, and reduce costs.

Product I+D experts looking to accelerate innovation cycles, create more personalized products, and stay ahead in competitive markets.

Professionals from relevant fields that encompass consumer products, medical devices, electronics, architecture, and defense, among others.

Course Overview:

This course delves into cutting-edge AI and machine-learning methods to develop AI-based designs of objects and physical experiments, produce manufacturing workflows, and convert digital designs into manufacturing instructions.

Explore how to create a smart design and manufacturing process by incorporating advanced AI and machine learning methods.
Reduce manufacturing lead time through AI-driven industrial processes.
Increase workforce productivity by introducing advanced digital design and manufacturing techniques.
Learn how to predict design performance using virtual testing, numerical simulation, and AI surrogate methods.
Reduce R&D costs by introducing AI/machine learning methods to convert performance-driven designs into manufacturable designs.
Secure a competitive edge by enhancing technological efficiency, design accuracy, and manufacturing speed.
Design 3D objects using generative design methods.

Weekly Modules

1

Introduction to Computational Design

2

Design Spaces

3

Generative AI for Learning Design Spaces

4

Mapping Design to Performance Metrics

5

Design Optimization (Inverse Design)

6

Generative AI for Creative Design

7

Generative AI for Digital Manufacturing

Meet Your Instructor

Wojciech Matusik

Professor at the Department of Electrical Engineering and Computer Science

Professor Wojciech Matusik is an Associate Professor of Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Laboratory at MIT, wher...

The MIT xPRO learning experience

LEARN BY DOING

Practice processes and methods through simulations, evaluations, case studies, and tools.

 LEARN FROM OTHERS

Connect with an international community of professionals while working on projects based on real-world examples.

LEARN ON DEMAND

Access all content online and watch videos on the go.

REFLECT AND APPLY

Apply your newly acquired skills in your organization, using examples from technical orking environments and informed, practical advice.

DEMONSTRATE YOUR SUCCESS

Earn a Professional Certificate and 2.4 Continuing Education Units (CEUs) from MIT.

LEARN FROM THE BEST

Gain insights from MIT faculty and industry experts.

What is the course comprised of?

Understand how to develop an intelligent design and manufacturing workflow by integrating cutting-edge AI and machine learning techniques.
Learn how to represent parametric/procedural designs, and explore generative AI methods to represent design spaces (e.g., design families).
Delve into performance-driven design workflow and principles of generative and inverse design.
Learn how to use machine learning for the design of physical experiments and design optimization.
Understand how to develop an intelligent design and manufacturing workflow by integrating cutting-edge AI and machine learning techniques.
Learn the practical applications of state-of-the-art AI tools such as Fusion 360, OpenSCAD, ChatGPT, Google Colab, and Adobe Firefly.
Recognize the capabilities and limitations of current advanced manufacturing hardware.