AI for Computational Design and Manufacturing, Certificate | Online (optional) | Massachusetts Institute of Technology (MIT) | Boston, United States
5 days
Duration
4700 USD/full
4700 USD/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

In the AI for Computational Design and Manufacturing course offered by Massachusetts Institute of Technology (MIT) , you’ll join a group of accomplished global peers to explore the latest smart manufacturing strategies and hardware, acquire skills to develop machine learning-based design templates, and participate in generative design sessions. 

Overview

What you will study

Over the next few decades, industries around the world will transition to a new economy in which highly complex, customizable products will be manufactured on-demand using intelligent manufacturing systems. In a number of fields, this change is already underway—for example, additive manufacturing is revolutionizing the production of consumer, aerospace, automotive, and medical parts. To stay ahead, professionals need a thorough understanding of the AI-powered strategies and tools that are enabling these rapid advancements—and a plan for implementing them in their own organizations.

The AI for Computational Design and Manufacturing course offered by Massachusetts Institute of Technology (MIT) provides an introduction to developing end-to-end AI-based design and manufacturing workflows. Over the course of five days, you will explore how AI methods are advancing digital manufacturing and the entire design ecosystem. In this course, you will also:

  • Learn how AI methods can be used in a manufacturing workflow for process optimization and control
  • Discover AI/machine learning methods that enable design automation and customization
  • Explore AI/machine learning methods for performance-driven design that automatically translate functional specifications of objects to manufacturable designs

Programme Structure

The program focuses on:

  • Learn how to develop an intelligent design and manufacturing workflow using the latest AI/machine learning methods.
  • Recognize the capabilities and limitations of current advanced manufacturing hardware.
  • Enhance your ability to use AI tools for optimizing manufacturing processes.
  • Increase your understanding of traditional and AI-based geometric representations.
  • Explore how to automatically mass-customize designs.
  • Learn how to predict design performance using virtual testing, numerical simulation, and AI methods.
  • Delve into performance-driven design workflow, as well as principles of generative and inverse design.
  • Design objects using generative design methods.
  • Acquire experience designing and optimizing objects for multiple objectives and across multiple domains.
  • Design and build data-driven (machine learning) models that drive design customization.
  • Master principles of numerical optimization techniques for machine learning.

Key information

Duration

  • Full-time
    • 5 days
  • Part-time
    • 5 days

Start dates & application deadlines

Language

English

Credits

3 alternative credits

Delivered

On Campus, Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Massachusetts Institute of Technology (MIT) and/or in United States, please visit Student Insurance Portal.

Other requirements

General requirements

  • This course is designed for engineers, designers, product managers, production managers, research and development managers,  scientists and educators in industries that are involved in translating concepts to physical objects/products. Relevant areas include consumer products, medical devices, textile, packaging, electronics, automotive, chemical, architecture, aerospace, and defense.

Technological requirements

  • Laptops or tablets with Windows and with which you have administrator privileges are required for this course.

Tuition Fee

To always see correct tuition fees
  • International

    4700 USD/full
    Tuition Fee
    Based on the tuition of 4700 USD for the full programme during 5 days.
  • National

    4700 USD/full
    Tuition Fee
    Based on the tuition of 4700 USD for the full programme during 5 days.

Living costs for Boston

1560 - 3239 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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AI for Computational Design and Manufacturing
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