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: Information Architecture, Education Software and Technology, Content Management, Collaborative Software
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Data-Driven Marketing, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Machine Learning Methods, AI Personalization, Customer Insights, Machine Learning, Model Deployment, Predictive Modeling, Machine Learning Algorithms, Python Programming, Personalized Service, Model Training, Model Evaluation
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming
★ 4.5 (100) · Intermediate · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: AI Integrations, AI Personalization, Generative AI, AI Product Strategy, Generative Model Architectures, AI Enablement, Data Integration, Customer experience strategy (CX), Strategic Thinking, Communication Planning, Innovation, Performance Analysis, Performance Measurement, Business Analysis, Project Risk Management, Project Performance, Solution Design, Business Strategies, Business Process Management, Decision Making
★ 4.8 (141) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Model Training, Machine Learning, NumPy, Regression Analysis, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, Model Training, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Methods, Machine Learning Algorithms, Scientific Visualization, Data Visualization, Regression Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: TikTok, Video Production, Photo/Video Production and Technology, Content Creation, Content Scheduling, Web Analytics and SEO, Photography, Content Development and Management, Social Media Campaigns, Social Media Marketing, Content Performance Analysis, Social Media Content, Driving engagement, Social Media, Search Engine Optimization, Video Editing, Videography, Brand Marketing, Social Media Analytics, Visual Storytelling
★ 3.9 (51) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Predictive Modeling, Data Processing, Development Environment, Predictive Analytics, Project Performance, Design, Software Installation
★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks