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.

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

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Performance Tuning, Python Programming, NumPy, Jupyter
★ 4.9 (18) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Open Mindset, Professional Development, Constructive Feedback, Interactive Learning, Mental Concentration, Personal Development, Teaching, Self-Motivation, Psychology, Learning Strategies, AI Integrations
Beginner · Course · 1 - 3 Months

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: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: New Product Development, Supply Chain, Supply Chain Management, Supply Chain Planning, Quality Management, Operations Management, Logistics Management, Supplier Management, Product Quality (QA/QC), Inventory Management System, Corporate Sustainability, Sustainable Business, Coordination, Value Propositions, Operational Efficiency
★ 4.7 (1.8K) · Mixed · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training
★ 4.6 (8) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Diversity Awareness
★ 4.6 (78) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support
★ 4.9 (19) · Beginner · Guided Project · Less Than 2 Hours