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.

Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Scientific Visualization, Statistical Visualization, Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Other Programming Languages, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, C (Programming Language), Machine Learning
Intermediate · Course · 1 - 3 Months

Corporate Finance Institute
Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Literacy, Data Visualization, Data Transformation, Data Analysis, Box Plots, Model Training, Python Programming, Data Science
Advanced · Course · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation
★ 4.8 (1.4K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Machine Learning Software, Business Process Modeling, Workflow Management, Predictive Modeling, Governance Risk Management and Compliance, Applied Machine Learning, SAS (Software), Text Mining, R Programming, Performance Analysis, Unstructured Data, Scheduling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Data Transformation, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Program Evaluation, Course Development, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Disabilities, Education Software and Technology, Professional Development, Brainstorming, Needs Assessment, Diversity Awareness, Content Creation, Motivational Skills, Diversity Equity and Inclusion Initiatives, Prototyping, Design Strategies, Student-Centred Learning
★ 4.8 (127) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression
★ 4.5 (4.2K) · Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Applied Machine Learning, Artificial Intelligence, AI literacy, Machine Learning, Data Science, AI Integrations, Deep Learning, Artificial Neural Networks
★ 4.8 (52K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Beginner · Specialization · 1 - 3 Months