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: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: User Story, Agile Project Management, Backlogs, Sprint Planning, Project Risk Management, Agile Methodology, Risk Management, Management Reporting, Sprint Retrospectives, Performance Reporting, Team Oriented, Project Estimation, Project Performance, Estimation, Capacity Planning, Prioritization
Beginner · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Software-Defined Networking, Virtual Networking, Virtualization, Network Architecture, General Networking, Network Administration, Network Switches, Network Routing, Network Security, Network Protocols, Hardware Architecture, Application Programming Interface (API), Data-oriented programming
Mixed · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms
Mixed · Course · 1 - 3 Months
Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Spatial Analysis, Dashboard, Analysis, Data Mapping, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics
Beginner · Professional Certificate · 3 - 6 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Writing and Editing, Concision, Persuasive Communication, English Language, Grammar, Language Competency, Target Audience, Vocabulary
Mixed · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Generative AI, Code Review, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks

University of Copenhagen
Skills you'll gain: Research, Record Keeping, Data Collection, Document Management, Information Management, Intellectual Property
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Storytelling, Writing, Creativity, Responsible AI, Critical Thinking
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Georgia Institute of Technology
Skills you'll gain: Mechanics, Torque (Physics), Engineering Analysis, Differential Equations, Engineering, Applied Mathematics, Physics, Trigonometry, Advanced Mathematics, Calculus
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months