Material Science Courses
Material science courses can help you learn about the properties of materials, material selection, nanotechnology, and the principles of thermodynamics. You can build skills in analyzing material behavior, conducting experiments, and applying statistical methods to interpret data. Many courses introduce tools such as scanning electron microscopes, X-ray diffraction, and software for modeling material properties, that support practical applications in industries like aerospace, electronics, and biomedical engineering.
Popular Material Science Courses and Certifications
Skills you'll gain: Apache Kafka, Spring Boot, Real Time Data, Java, Unit Testing, Restful API, JSON, Integration Testing, Data Transformation, Scalability, Debugging
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning
Packt
Skills you'll gain: Stata, STATA (Software), Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Data Presentation, Debugging, Data Import/Export, Data Integrity
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Unit Testing, File I/O, Integrated Development Environments, Program Development, Computer Programming Tools, Development Environment, Technical Communication, Python Programming
Status: NewSkills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Google Cloud
Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing
Status: PreviewUniversity of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming
Status: FreeSkills you'll gain: Javascript, User Experience, Web Applications, ChatGPT, Web Development, HTML and CSS, Frontend Integration, Application Programming Interface (API), Prompt Engineering, Real Time Data, Debugging
Skills you'll gain: Data Processing, Google Cloud Platform, Data Store, Data Pipelines, Data Capture, Unstructured Data, Cloud API, Geographic Information Systems, Cloud Storage, Serverless Computing, Business Process
Status: PreviewDuke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference
Status: NewStatus: Free TrialAlberta Machine Intelligence Institute
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, OpenAI API, Open Source Technology, Responsible AI, Embeddings, Artificial Intelligence, Data Ethics, Natural Language Processing, Information Privacy
Skills you'll gain: Spring Framework, JUnit, Restful API, Spring Boot, Unit Testing, Java, Hibernate (Java), Web Services, Apache Maven, Databases, Web Applications, Gradle, Object Oriented Programming (OOP), Eclipse (Software), Software Design Patterns, Dependency Analysis
Searches related to material science
In summary, here are 10 of our most popular material science courses
- Kafka Streams API for Developers Using Java/Spring Boot 3.X: Packt
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- 120 Quick Stata Tips: Packt
- Debugging: Hunting and Squashing Bugs: University of Michigan
- AI Engineer Explorer Course: Packt
- Running Distributed TensorFlow using Vertex AI: Google Cloud
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- Using JavaScript with AI: Enhancing Development Workflows: Coursera
- Build an End-to-End Data Capture Pipeline using Document AI: Google Cloud
- R을 사용한 확률 및 데이터 소개: Duke University
