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.

Fundação Instituto de Administração
Skills you'll gain: Data-Driven Marketing, Big Data, R (Software), Customer experience improvement, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Visualization, Data Strategy, Customer experience strategy (CX), Digital Transformation, Data Engineering, Marketing Analytics, Data Visualization Software, Plot (Graphics), Statistical Visualization, R Programming, Analytics, Marketing
Beginner · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Machine Learning Methods, Decision Intelligence, Applied Machine Learning, Machine Learning, Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Model Training, Tensorflow, Model Optimization, Systems Architecture, Performance Tuning, Software Architecture, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Data Processing, Debugging, Dependency Analysis
Advanced · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Software, Statistical Hypothesis Testing, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning
Intermediate · Course · 1 - 3 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Teaching, Digital pedagogy, Learning Management Systems, Education Software and Technology, Technology Strategies, Planning, digital literacy, Content Management
Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Machine Learning Methods, Model Evaluation, Systems Architecture, Model Optimization, Applied Machine Learning, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Dependency Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning
Intermediate · Guided Project · Less Than 2 Hours