Linear Algebra for Machine Learning courses can help you learn matrix operations, vector spaces, eigenvalues, and linear transformations. You can build skills in solving systems of equations, dimensionality reduction, and understanding data representations. Many courses introduce tools like NumPy and MATLAB, that support implementing algorithms and performing computations efficiently in AI and machine learning projects.

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Data Literacy, Machine Learning Algorithms, AI literacy, Responsible AI, Data Collection
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Howard University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Jupyter, Algebra, Python Programming
Beginner · Specialization · 3 - 6 Months

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms
Intermediate · Course · 1 - 3 Months

The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
Beginner · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Intelligence, Agentic systems, Machine Learning Algorithms, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Programming Principles
Mixed · Course · 1 - 3 Months