Coursera

AI Materials (Coursera)

Offered by Korea Advanced Institute of Science and Technology - KAIST,
AI Materials (Coursera)

Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1: Birth of AI
WEEK 2: AI recognizes
WEEK 3: AI Emotion
WEEK 4: AI learns Materials Processing
WEEK 5: AI Materials Fab
WEEK 6: AI Materials Imaging 1
WEEK 7: AI Materials Imaging 2

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Attention Mechanism (Coursera) Coursera
Google Cloud

Attention Mechanism (Coursera)

CS: Information & Technology

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.

Nov 16th 2026
1 Week
Machine Learning Neural Networks Attention
Details
Machine Learning for All (Coursera) Coursera
University of London

Machine Learning for All (Coursera)

Data Science Computer Science

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it.

Nov 16th 2026
4 Weeks
Artificial Intelligence Machine Learning AI Technology
Details
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Economics & Finance Business

In this course, the instructor will discuss various uses of regression in investment problems, and she will extend the discussion to logistic, Lasso, and Ridge regressions. At the same time, the instructor will introduce various concepts of machine learning. You can consider this course as the first step toward using machine learning methodologies in solving investment problems. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to use various regression methodologies for investment management that you might need to do in your job every day and make you ready for more advanced topics in machine learning.

Nov 16th 2026
2 Weeks
Machine Learning Regression Investment
Details
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Nov 16th 2026
5-12 Weeks
Business ML Artificial Intelligence
Details
AI for Course Design (Coursera) Coursera
University of Colorado Boulder

AI for Course Design (Coursera)

Education

AI for Course Design is designed for instructional designers and educators and focuses on practical skills in working with generative AI for course development. Throughout the course, you'll learn to define and differentiate between AI concepts, navigate various AI models, and utilize AI tools for course creation. The course also covers ethics and limitations of AI in education, enabling you to effectively incorporate AI into your teaching methods.

Nov 16th 2026
4 Weeks
Artificial Intelligence AI Course Design
Details
Artificial Intelligence (AI) Education for Teachers (Coursera) Coursera
Macquarie University

Artificial Intelligence (AI) Education for Teachers (Coursera)

Education Social Sciences

Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning.

Nov 16th 2026
5-12 Weeks
Education Artificial Intelligence Creative
Details
Platform Thinking: designing a Platform (Coursera) Coursera
Politecnico di Milano

Platform Thinking: designing a Platform (Coursera)

Business

Platforms changed the way we live and we do business. This module of the “Platform Thinking” series aims to help innovators in designing and building platforms. At first sight, it may seem that platforms "simply" connect different kinds of users, as Airbnb links travelers and hosts or as Uber links drivers and riders. Well, this is true: platforms link different kinds of users. Nevertheless, this is just the enabling factor to have a platform, definitely not enough to describe the wide range of activities they actually do.

Nov 16th 2026
4 Weeks
Innovation Platform Strategic Thinking
Details
Developing AI Policy (Coursera) Coursera
Fred Hutchinson Cancer Center

Developing AI Policy (Coursera)

Data Science

AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical, illegal, or wrong. This course empowers you to make informed decisions and confidently create an AI policy that matches your organizational goals.

Nov 16th 2026
1 Week
Artificial Intelligence Policy Data Science
Details
Supply Chain Analytics (Coursera) Coursera
IIT Roorkee

Supply Chain Analytics (Coursera)

Business

Welcome to Supply Chain Analytics! In this course you will learn about advanced decision problems in Supply Chain Management and the application of optimisation formulations and their solutions to address them. The course has been designed to help you advance your career as business analysts, supply chain managers, and other similar roles by learning in-demand skills to increase efficiency, drive organisational growth, and make a positive business impact. The course also offers a good starting point to those with purely academic and research interests.

Nov 16th 2026
5-12 Weeks
Machine Learning Forecasting Supply Chain
Details
Preparing for the Google Cloud Professional Data Engineer Exam (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam (Coursera)

CS: Information & Technology Computer Science

From the course: "The best way to prepare for the exam is to be competent in the skills required of the job." This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.

Nov 16th 2026
5-12 Weeks
Machine Learning Data Engineer Google Cloud
Details