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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
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
3 alternative credits
Delivered
On Campus
Campus Location
- Boston, United States
Disciplines
Artificial Intelligence Production and Manufacturing Engineering View 136 other Short Courses in Artificial Intelligence in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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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.
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 Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residents4700 USD / full≈ 4700 USD / full - Out-of-State4700 USD / full≈ 4700 USD / full
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Domestic
Applies to youIn-State4700 USD / full≈ 4700 USD / full
Living costs
Boston
United States
1560 - 3239 USD / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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