Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Enterprise Modeling, Model Deployment, AI Workflows, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Machine Learning, Data Pipelines, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning
Mixed · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Resource Allocation, Organizational Change, Business Leadership, Strategic Leadership, Business Transformation, AI Enablement, Organizational Strategy, Organizational Leadership, Data Strategy, Technology Strategies, Business Priorities, Strategic Decision-Making, Change Management, Performance Measurement, Performance Metric, Business Metrics
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Analytics, Advanced Analytics, Google Cloud Platform, Model Evaluation, Big Data, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling, Data-Driven Decision-Making
Intermediate · Project · Less Than 2 Hours

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management
Intermediate · Specialization · 3 - 6 Months

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

Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning, Predictive Modeling, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
Intermediate · Specialization · 3 - 6 Months

Dartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Cleveland Clinic
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
Beginner · Course · 1 - 4 Weeks