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: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Debugging, Model Training, Decision Intelligence, AI Product Strategy, Model Optimization, Model Evaluation, AI Workflows
★ 4.8 (50K) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization
★ 4.4 (45) · Intermediate · 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)
★ 4.8 (468) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning
★ 4.5 (16) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
★ 4.3 (179) · Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
★ 4.8 (396) · Beginner · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Statistical Software, Machine Learning Methods, Machine Learning Software, Workflow Management, Machine Learning, Correlation Analysis, Applied Machine Learning
★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Demand Planning, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Inventory and Warehousing, Analytics, Advanced Analytics, Supply Chain Management, Data Transformation, Machine Learning, Business
★ 5 (13) · Beginner · Specialization · 1 - 3 Months

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Estimation, Risk Analysis, Computer Science
★ 3.1 (332) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods
★ 4.6 (103) · Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms
★ 4.7 (2.4K) · Mixed · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Time Series Analysis and Forecasting, Retrieval-Augmented Generation, AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Generative AI, Data-Driven Marketing, Customer Analysis, Key Performance Indicators (KPIs), Data Transformation, Generative Model Architectures, Customer Engagement, Marketing Strategies, Generative Adversarial Networks (GANs), Predictive Modeling, Responsible AI, Predictive Analytics, Trend Analysis
Intermediate · Specialization · 3 - 6 Months