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.

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Universitat Politècnica de València
Skills you'll gain: Integral Calculus, Calculus, Engineering Calculations, Trigonometry
Beginner · Course · 1 - 3 Months

Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
Intermediate · Course · 1 - 4 Weeks

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

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Materials science, Applied Mathematics, Mathematical Theory & Analysis, General Mathematics, Mathematical Modeling, Derivatives
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Teaching, Pedagogy, Instructional Strategies, K-12 pedagogy, Human Learning, Student-Centred Learning, Arithmetic
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

British Standards Institution
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Machine Learning Algorithms, Big Data, Machine Learning Methods, Data Preprocessing, Analytics, File Systems, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Unsupervised Learning, Data Storage, Project Planning, Staff Management
Build toward a degree
Intermediate · 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

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