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.

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

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

Arizona State University
Skills you'll gain: Learning Strategies, Lifelong Learning, Productivity, Human Learning, Learning Theory, Cognitive flexibility, Mental Concentration, Creative Thinking, Time Management, Stress Management, Personal Development, Neurology
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

John Wiley & Sons
Beginner · Specialization · 3 - 6 Months

O.P. Jindal Global University
Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Data-Driven Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Digital Marketing Campaigns, Digital Analysis, Online Advertising, Customer Retention, Digital Marketing Tools, Text Mining, Predictive Analytics, Google Analytics, Data Ethics
Beginner · Specialization · 3 - 6 Months

University of Colorado System
Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Data-Driven Marketing, Applied Machine Learning, Advanced Analytics, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction
Beginner · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus
Build toward a degree
Intermediate · Course · 1 - 3 Months

Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Statistical Modeling, Data Analysis, Statistical Methods, Linear Algebra, Predictive Analytics, Model Training, Unsupervised Learning, Model Evaluation
Mixed · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months