Linear Algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing dimensionality reduction, and applying concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and software for computational mathematics, that support implementing algorithms and visualizing data in various applications, including artificial intelligence and AI-driven models.

Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Differential Equations, Calculus
Intermediate · Course · 1 - 4 Weeks

Georgia Institute of Technology
Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Power, Electrical Systems, Electronic Systems, Electrical Engineering, Engineering Analysis, Electronics, Electronics Engineering, Engineering, Scientific, and Technical Instruments, Engineering Calculations, Physics, Calculus, Integral Calculus
Mixed · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Scientific Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms, Regression Analysis, Scripting
Intermediate · Course · 1 - 3 Months

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

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Statistical Modeling, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
Beginner · Course · 1 - 4 Weeks
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Programming Principles, Object Oriented Design, Object Oriented Programming (OOP), Functional Design, Computer Programming, Data Structures, Code Reusability, Computational Logic
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Systems Design, Algorithms, Programming Principles, Design Software, Model Optimization, Digital Design
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Electrical Engineering, electromagnetics, Physics, Engineering Calculations, Electrical Systems, Problem Solving, Applied Mathematics, Electronic Components, Calculus, Electronics, Differential Equations, Integral Calculus
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming
Beginner · Guided Project · Less Than 2 Hours