# MIT's "Machine Learning for Materials Informatics" course (from July 29 to August 1, 2024)

**URL:** https://community.materialssquare.com/t/mits-machine-learning-for-materials-informatics-course-from-july-29-to-august-1-2024/484
**Category:** Events
**Created:** [July 16, 2024, 12:23pm UTC](https://community.materialssquare.com/t/mits-machine-learning-for-materials-informatics-course-from-july-29-to-august-1-2024/484 "2024-07-16T12:23:19Z")
**Posts on this page:** 1
**Page:** 1

<div class="post-metadata">

### Author: ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)
#### Post date: [July 16, 2024, 12:23pm UTC](https://community.materialssquare.com/t/mits-machine-learning-for-materials-informatics-course-from-july-29-to-august-1-2024/484/1 "2024-07-16T12:23:19Z")

</div>

MIT’s “Machine Learning for Materials Informatics” course focuses on leveraging AI and machine learning for advanced materials design and development. The live virtual course runs from July 29 to August 1, 2024, and costs $3,600. Participants will engage in interactive lectures, hands-on labs, and coding clinics to learn about tools like deep learning, neural networks, and computational modeling. This course aims to reduce development time for new materials, improve sustainability, and enhance the efficiency of materials processes. It is suitable for scientists, engineers, data scientists, and industry leaders.

For more details, visit MIT Professional Education:

> **[Machine Learning for Materials Informatics | Professional Education](https://professional.mit.edu/course-catalog/machine-learning-materials-informatics)**
>
> Are you looking to harness recent AI breakthroughs, such as language models, graph neural networks, and computer vision, to enhance the speed, efficiency, and cost effectiveness of your materials development processes? Join us online for our upcoming...
