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.

Skills you'll gain: Responsible AI, Google Gemini, AI Workflows, AI Enablement, Generative AI, Artificial Intelligence, Google Workspace, AI Personalization
★ 4.8 (1.4K) · Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Generative AI, AI literacy, Ideation, Instructional Design, Brainstorming, Design Strategies, Content Creation, Persona Development, Professional Development
★ 4.9 (22) · Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Training, Artificial Intelligence, Model Deployment, Machine Learning, No-Code Development, Application Deployment
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
★ 4 (42) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AI Enablement, AI literacy, Product Planning, AI Workflows, Google Gemini, Generative AI, Artificial Intelligence, AI Personalization, Google Workspace, Responsible AI
★ 4.8 (463) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis
★ 4.9 (12) · Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI powered creativity, Precision Medicine, Generative AI, Machine Learning, AI literacy, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Model Optimization, Energy and Utilities, Image Analysis, AI Workflows, Robotics, Deep Learning, Medical Imaging
★ 4.5 (188) · Intermediate · Specialization · 1 - 3 Months

Commonwealth Education Trust
Skills you'll gain: Diversity Awareness, Parent Communication, Cultural Diversity, Relationship Building, Working With Children, Teaching, Community Development, Community Outreach, Student Engagement, Team Collaboration, Ethical Standards And Conduct
★ 4.9 (1.1K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, AI Integrations, Business Analytics, AI literacy, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Augmented and Virtual Reality (AR/VR)
★ 4.7 (12K) · Beginner · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Object Oriented Design, Application Frameworks, Web Applications, Programming Principles, Web Development, Event-Driven Programming
★ 4.1 (309) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, Competitive Intelligence, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Strategic Thinking, Data Management, Strategic Leadership, Law, Regulation, and Compliance, Data Strategy, AI literacy, Brainstorming
★ 4.6 (715) · Intermediate · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
Intermediate · Course · 1 - 4 Weeks