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: Kubernetes, YAML, Microservices, Containerization, Cloud Platforms, DevOps, Application Deployment, Cloud Computing Architecture, Virtual Networking, Scalability
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Università di Napoli Federico II
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Digital pedagogy, Open Mindset, Professional Development, Mental Concentration, Personal Development, Persistence, Self-Motivation, Multitasking, Learning Styles, Productivity, AI Personalization, Time Management
Beginner · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Education and Training, Child Development, School Psychology, Pedagogy, Human Development, Higher Education, Learning Theory, Psychology, Social Sciences
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Learning Management Systems, Digital pedagogy, Technology Solutions, Disabilities, Human Computer Interaction, Emerging Technologies, Electronic Media, Gerontology
Mixed · Course · 1 - 3 Months

Skills you'll gain: Email Automation, Productivity, Time Management, Automation, ChatGPT, Artificial Intelligence, AI Enablement, Prompt Engineering, Business Process Automation, Natural Language Processing, Generative AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
Beginner · Course · 3 - 6 Months