Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Coursera
Skills you'll gain: Generative AI, Responsible AI, Data Ethics, AI Enablement, AI powered creativity, Artificial Intelligence, Creative Problem-Solving, Critical Thinking
★ 4.7 (182) · Beginner · Course · 1 - 4 Weeks

Berklee
Skills you'll gain: Music Theory, Music, Instrumental Music, Music Performance
★ 4.8 (2.3K) · Mixed · Course · 1 - 3 Months

Peking University
Skills you'll gain: Computational Logic, Theoretical Computer Science, Logical Reasoning, Graph Theory, Deductive Reasoning, Geospatial Information and Technology, Computational Thinking, Algebra, Mathematics and Mathematical Modeling, Computer Science, Information Technology
★ 4.7 (281) · Beginner · Course · 3 - 6 Months
University of Maryland, College Park
Skills you'll gain: AI Personalization, AI Enablement, Responsible AI, Personalized Campaigns, Deep Learning, Risk Modeling, Demand Planning, Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Risk Management, Business Analytics, Customer Demand Planning, Data-Driven Marketing, Machine Learning, Target Market, Artificial Intelligence, Business Risk Management, Supply Chain Planning, Marketing Analytics
Intermediate · Course · 1 - 3 Months

Politecnico di Milano
Skills you'll gain: Augmented and Virtual Reality (AR/VR), Digital pedagogy, Education Software and Technology, Augmented Reality, Virtual Environment, Virtual Reality, Innovation, Design Strategies, Emerging Technologies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data
Intermediate · Course · 1 - 4 Weeks

AI CERTs
Skills you'll gain: Data Analysis, Data Literacy, Data-Driven Decision-Making, Clinical Informatics, Image Analysis, AI Integrations, Health Technology, Diagnostic Tests, Advanced Analytics, Treatment Planning, Care Management, Emerging Technologies
★ 4.2 (6) · Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Cascading Style Sheets (CSS), Javascript and jQuery, Hypertext Markup Language (HTML), JSON, HTML and CSS, Linux, Linux Commands, Application Development, Back-End Web Development, Database Application, Web Development, Cloud Deployment, Application Deployment, Javascript, SQL, Code Reusability
★ 4.7 (2.5K) · Intermediate · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Responsible AI, AI powered creativity, Data Ethics, Adobe Firefly, Productivity Software, AI Workflows, Generative AI, Productivity, AI Integrations, Writing, AI literacy, Writing and Editing, Gemini, Microsoft Copilot, Unstructured Data, Prompt Engineering, Administrative Support, Data Analysis, Operational Efficiency, Media Production
★ 4.6 (34) · Beginner · Course · 1 - 4 Weeks

Shanghai Jiao Tong University
Skills you'll gain: Language Learning, Culture, Vocabulary, Language Competency, Oral Comprehension, Grammar
★ 4.8 (1.4K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Model Training, Application Lifecycle Management, DevOps, AI Workflows, Applied Machine Learning, CI/CD, Automation
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Graph Theory, Network Analysis, Artificial Neural Networks, Network Model, Health Informatics, Laboratory Experience, Autoencoders, Predictive Modeling, Unsupervised Learning, Data Synthesis
★ 3.6 (15) · Advanced · Course · 1 - 4 Weeks