Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.
Vanderbilt University
Skills you'll gain: AI Enablement, AI Product Strategy, Agentic Workflows, Agentic systems, Workforce Management, Scalability, Workforce Planning, Solution Design, Automation, Prompt Engineering, Decision Making
★ 4.8 (29) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming
★ 4.5 (695) · Advanced · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
★ 4.4 (13) · Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis, Model Evaluation
★ 4.8 (6) · Advanced · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Technology Strategies, Emerging Technologies, Gerontology
★ 4.5 (196) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Education and Training, Instructional Strategies, Teamwork, Collaboration, Classroom Management, Virtual Environment, Curriculum Planning, Creative Problem-Solving, Team Collaboration, Stress Management, Technology Strategies, Technology Roadmaps, Social Impact, Patient Communication, digital literacy, Artificial Intelligence
Beginner · Specialization · 1 - 3 Months

Politecnico di Milano
Skills you'll gain: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Teaching, Education and Training, Instructional and Curriculum Design, Interactive Learning, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design, Infographics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Continuous Integration, Test Automation, Authentications, CI/CD, Test Script Development, API Testing, Software Testing, Behavior-Driven Development, Event-Driven Programming, GitHub, Cascading Style Sheets (CSS)
★ 4.3 (21) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: Data Transformation, Power BI, Data Cleansing, Dashboard, Dashboard Creation, Data Visualization, Data Presentation, Data Import/Export, Data Integration, Data Visualization Software, Business Intelligence, Data Storytelling, Data Modeling
★ 4.5 (170) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
★ 5 (8) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months