Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.6 (19) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Fine-tuning, Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Model Evaluation, Deep Learning, Data Preprocessing
★ 4.6 (49) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Analytics, Statistical Machine Learning, Google Cloud Platform, Model Evaluation, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling
Intermediate · Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Resource Allocation, Organizational Change, Business Leadership, Strategic Leadership, Business Transformation, AI Enablement, Organizational Strategy, Organizational Leadership, Culture Transformation, Resource Utilization, Organizational Development, Resource Management, Technology Strategies, Business Priorities, Strategic Decision-Making, Change Management, Resource Planning, Performance Measurement, Performance Metric
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
★ 4.8 (120) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Plot (Graphics), Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning Methods, Machine Learning, Feature Engineering, Predictive Modeling, Data Wrangling, Applied Machine Learning, Supervised Learning, Data Processing, Data Pipelines
★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Store, Data Management, Workflow Management, Information Management, Model Training, Metadata Management, Model Deployment, Model Evaluation, AI Orchestration, Model Optimization, Data Preprocessing, Applied Machine Learning, Machine Learning, Data Pipelines, Fine-tuning
Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
★ 4 (500) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Applied Machine Learning, Model Deployment, Image Analysis, Remote Access Systems, Event-Driven Programming, Text Mining, AI Personalization, Computer Vision, Natural Language Processing, Scalability
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Management, Data Governance, Model Deployment, AI Workflows, Metadata Management, Data Preprocessing, Google Cloud Platform, Machine Learning Software, Workflow Management, Model Optimization, Data Pipelines, AI Orchestration, Applied Machine Learning, Model Evaluation, Machine Learning, Predictive Modeling, Containerization
Intermediate · Course · 1 - 3 Months