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

Design of Transmission Line: Modelling and Performance (Coursera) Coursera
L&T EduTech

Design of Transmission Line: Modelling and Performance (Coursera)

Engineering

This course is designed to provide a detailed exploration of the critical elements involved in transmission lines' design, modeling, and performance assessment. By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of transmission line engineering. Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field.

Oct 5th 2026
3 Weeks
Modeling Performance Coursera Plus
Details
GPT Vision: Seeing the World through Generative AI (Coursera) Coursera
Vanderbilt University

GPT Vision: Seeing the World through Generative AI (Coursera)

Data Science

Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos.

Oct 5th 2026
2 Weeks
Artificial Intelligence AI Prompt Engineering
Details
AI for Efficient Programming: Harnessing the Power of LLMs (Coursera) Coursera
Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

Robotics & Computer Vision

This course on Artificial Intelligence (AI) for software development explores the use of AI large language models such as ChatGPT, Bard, and others and their potential benefits and challenges. Through examples and hands-on activities, you will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.

Oct 5th 2026
4 Weeks
Artificial Intelligence Coding Data Science
Details
Ethical Issues in Data Science (Coursera) Coursera
University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Statistics & Data Analysis Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Sep 28th 2026
5-12 Weeks
Philosophy Artificial Intelligence Security
Details
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Statistics & Data Analysis Data Science

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
MATLAB Octave Machine Learning
Details
Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro (Coursera) Coursera
Google Cloud

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

CS: Information & Technology Computer Science

Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho." Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.

Sep 28th 2026
1 Week
Machine Learning Data Engineer Google Cloud
Details
Artificial Intelligence for Breast Cancer Detection (Coursera) Coursera
Johns Hopkins University

Artificial Intelligence for Breast Cancer Detection (Coursera)

Data Science

Through interactive lectures and module exercises, this course illustrates the potential of artificial intelligence in breast imaging. Topics include an introduction of breast cancer and breast imaging, introduction to artificial intelligence in image analysis and computer image processing of cancer detection. The course intends to provide students basic understanding of artificial intelligence approaches to breast cancer detection.

Oct 5th 2026
4 Weeks
Artificial Intelligence Data Science Breast Cancer
Details
Data Science in Stratified Healthcare and Precision Medicine (Coursera) Coursera
University of Edinburgh

Data Science in Stratified Healthcare and Precision Medicine (Coursera)

Health & Society Statistics & Data Analysis

An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine.

Oct 5th 2026
5-12 Weeks
Medicine Healthcare Machine Learning
Details
Machine Teaching for Autonomous AI (Coursera) Coursera
University of Washington

Machine Teaching for Autonomous AI (Coursera)

Engineering

Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system.

Oct 5th 2026
4 Weeks
Artificial Intelligence Machine Learning Neural Networks
Details