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: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Yale University
Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Descriptive Statistics, Data Literacy, Scientific Methods, Clinical Research, Research, Biostatistics, Data Collection, Sampling (Statistics), Medical Terminology, Correlation Analysis
Beginner · Course · 1 - 3 Months

Rice University
Skills you'll gain: Programming Principles, Python Programming, Development Environment, Computer Programming, Integrated Development Environments, Debugging
Beginner · Course · 1 - 4 Weeks
Starweaver
Skills you'll gain: Endpoint Detection and Response, Threat Detection, MITRE ATT&CK Framework, Cyber Threat Hunting, Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Modeling, Security Information and Event Management (SIEM), Cyber Security Strategy, Cybersecurity, Malware Protection, Data Loss Prevention, Cyber Attacks, Data Security, Encryption, System Implementation, Open Source Technology
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI Agents, AI Security, AI Orchestration, Model Deployment, LLM Application, Artificial Intelligence, Generative AI, Agentic systems, Cloud Deployment, Large Language Modeling, Enterprise Security
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Hadoop, Extract, Transform, Load, Data Pipelines, Data Processing, Data Transformation, Data Manipulation, Apache, Scripting, Debugging, Query Languages, Scripting Languages, Open Source Technology
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Apple iOS, iOS Development, Apple Xcode, Application Deployment, Swift Programming, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Knowledge of Apple Software, Image Analysis, Real Time Data, Mobile Development, Model Deployment, User Interface and User Experience (UI/UX) Design, Computer Vision, Natural Language Processing, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS Identity and Access Management (IAM), Amazon Web Services, Identity and Access Management, Amazon Elastic Compute Cloud, Cloud Computing Architecture, Cloud Computing, Network Security, Virtual Networking, Network Architecture, Cloud Infrastructure, Authentications, Virtual Private Networks (VPN), Multi-Factor Authentication, Cloud Security, Load Balancing, Containerization, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Technical Design
Advanced · Course · 1 - 3 Months

Skills you'll gain: JavaScript Frameworks, Angular, Amazon Elastic Compute Cloud, Server Side, Development Testing, JSON, Maintainability
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Scatter Plots, Data Visualization, Regression Analysis, Excel Formulas, Microsoft Excel, Data Analysis, Descriptive Statistics, Data Visualization Software, Analytics, Statistical Analysis, Statistical Methods, Descriptive Analytics, Correlation Analysis, Statistics, Analysis, Exploratory Data Analysis, Pivot Tables And Charts, Trend Analysis
Beginner · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)
Mixed · Course · 1 - 4 Weeks