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.

Cleveland Clinic
Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Markov Model, Health Informatics, Data Structures
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter
★ 4.6 (1.3K) · Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning
★ 4.3 (125) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, Cloud Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Delivery, Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture
★ 4.5 (69) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Data Quality, Machine Learning Software, Business Metrics, Machine Learning Methods, Machine Learning, Applied Machine Learning, Logistic Regression, Dataflow, Data Pipelines, Cloud Deployment
★ 4.6 (448) · Intermediate · Specialization · 3 - 6 Months

Packt
Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, Agentic systems, Jupyter
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
★ 3.9 (12) · Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Image Analysis, Statistical Machine Learning, Diagnostic Radiology, Machine Learning
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

National Taiwan University
Skills you'll gain: Feature Engineering, Autoencoders, Machine Learning Methods, Model Optimization, Deep Learning, Supervised Learning, Regression Analysis, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Model Training, Dimensionality Reduction, Machine Learning, Embeddings, Model Evaluation
★ 4.9 (35) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Model Training, Data Preprocessing, Model Evaluation, Data Quality, Logistic Regression, Machine Learning, Data Pipelines, Machine Learning Methods, Data Processing, Model Deployment, Scikit Learn (Machine Learning Library), Performance Tuning, Dataflow
★ 4.2 (31) · Intermediate · Specialization · 3 - 6 Months