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.
Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Responsible AI, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Data Visualization, Power BI, Statistical Visualization, Data Storytelling, Data Visualization Software, Dashboard, Ad Hoc Reporting, Business Reporting, Management Reporting, Advanced Analytics, Key Performance Indicators (KPIs), Compliance Reporting, Design Elements And Principles, User Experience, Strategic Decision-Making
Intermediate · Course · 1 - 3 Months

Skills you'll gain: .NET Framework, Application Deployment, Bootstrap (Front-End Framework), Full-Stack Web Development, Database Management, User Accounts, Payment Systems, Authentications, Role-Based Access Control (RBAC), Data Modeling, Transaction Processing
Intermediate · Course · 3 - 6 Months

Coursera
Skills you'll gain: Sprint Planning, Work Breakdown Structure, Jira (Software), Dashboard, Sprint Retrospectives, User Story, Verification And Validation, Quality Assurance, Issue Tracking, Software Testing, Data Visualization, Test Planning, Workflow Management, Project Management, Data-Driven Decision-Making, Continuous Improvement Process, Kanban Principles, Agile Methodology, Capacity Planning, Root Cause Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Application Lifecycle Management, User Interface (UI) Design, Data Validation, Data Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Seaborn, Data Visualization, Data Presentation, Matplotlib, Interactive Data Visualization, Dashboard, Statistical Visualization, Histogram, Time Series Analysis and Forecasting, Microsoft Excel, Generative AI, Tableau Software, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Business Analytics, Power BI, Google Sheets, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, PySpark, Generative AI, Large Language Modeling, Feature Engineering, Deep Learning, Text Mining, Natural Language Processing, Transfer Learning, Unstructured Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Data Pipelines, Distributed Computing, Model Evaluation, Unsupervised Learning, Scalability
Mixed · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Building Information Modeling, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Engineering Practices, Construction Management, Civil Engineering, Mechanical Engineering
Beginner · Course · 1 - 3 Months

Mixed · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Responsive Web Design, HTML and CSS, Web Development, Javascript, Web Design, JavaScript Frameworks, Web Development Tools, Web Servers, Web Design and Development, Browser Compatibility, Web Content, Web Analytics and SEO, Server Side, Hypertext Markup Language (HTML), Web Applications, Web Frameworks, Front-End Web Development, Event-Driven Programming, Web Content Accessibility Guidelines, Software Development
Mixed · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture
Intermediate · Course · 1 - 4 Weeks