Paid Certificate Intermediate AI & Machine Learning categories.science

KAIST AI in Materials Science

KAIST

Explore the role of artificial intelligence in advancing materials science, covering machine learning for accelerating materials development, AI-driven imaging techniques, and fabrication methods from KAIST, one of Korea's top research universities.

Duration

6 weeks

Level

Intermediate

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

Basic knowledge of chemistry or materials science. Familiarity with programming concepts is helpful but not required.

👥 Who Should Take This Course

  • Materials science researchers and students
  • AI/ML practitioners interested in scientific applications
  • Engineers working in manufacturing and materials
  • Graduate students in STEM fields

📚 What You Will Learn

1

Introduction to AI in Materials Science

2

Machine Learning for Materials Development

3

AI-Driven Imaging and Characterization

4

AI-Assisted Fabrication Techniques

5

Advanced Applications and Future Directions

🏛️ About the Institution — KAIST

KAIST (Korea Advanced Institute of Science and Technology) was established in 1971 as Korea's first research-intensive graduate school for science, engineering, and technology. Ranked #47 in QS World University Rankings.

Founded

1971

Location

Daejeon, South Korea

Recognition

#47 QS World University Rankings 2026

❓ Frequently Asked Questions

Is this course free?
The course content is free to audit on Coursera. A verified certificate requires a paid upgrade or financial aid application.

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • Step-by-step registration walkthrough
  • Screenshot tutorials for each step
  • Common mistakes to avoid
  • Tips to complete faster
  • Troubleshooting FAQ
$9.99 — Get Step-by-Step Guide