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.

University of Michigan
Skills you'll gain: Debugging, Unit Testing, File I/O, Integrated Development Environments, Program Development, Computer Programming Tools, Technical Communication, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: GitLab, AI Workflows, Code Review, Integrated Development Environments, Computer Programming Tools, Development Environment, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills 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
Advanced · Course · 1 - 3 Months

Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Embeddings, Agentic systems, Application Development, Data Pipelines, Data Integration, Development Environment
Intermediate · Course · 1 - 4 Weeks

Banco Interamericano de Desarrollo
Skills you'll gain: Data Storytelling, Data Visualization, Data Governance, Process Improvement, Data Strategy, Process Mapping, Data-Driven Decision-Making, Performance Improvement, Data Visualization Software, Organizational Effectiveness, Organizational Leadership, Business Leadership, Strategic Decision-Making, Leadership, Change Management
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Statistical Software, Marketing Analytics, Model Evaluation, Regression Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Advanced Analytics, Strategic Marketing, Market Analysis, Marketing Effectiveness, Predictive Analytics, Marketing Strategies, Predictive Modeling, Logistic Regression, Customer Insights, Target Market, Statistical Hypothesis Testing, A/B Testing, Variance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Electronic Components, C and C++, C++ (Programming Language), Embedded Software, Hardware Troubleshooting, Program Development, Maintainability, Debugging, Development Environment
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Performance Review, Employee Performance Management, AI Personalization, Workforce Development, Employee Coaching, AI Enablement, People Development, Human Resource Strategy, Constructive Feedback, Performance Analysis, Automation, Coaching, Data-Driven Decision-Making, Trend Analysis, Analysis
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Specialization · 3 - 6 Months