200 Short courses in Machine Learning in United States

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. This Data Engineering with AWS Nanodegree program at Udacity is ideal for those with a basic understanding of Python, SQL, and command-line interfaces. 

Within the No Code and Agentic AI course at Massachusetts Institute of Technology (MIT) you will learn AI and Machine Learning skills through an industry-relevant curriculum designed by MIT faculty, with in-depth modules on Generative AI, Responsible AI, and Agentic AI.

Gain in-demand techniques in AI, Data Science, ML, and Generative AI to make AI-Powered Decisions and solve real-world business challenges with this AI and Data Science - Leveraging Responsible AI, Data and Statistics for Practical Impact programme from Massachusetts Institute of Technology (MIT).

EdX is an online learning platform trusted by over 12 million users offering the Applied Deep Learning Capstone Project Certificate in collaboration with IBMx. In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

In this The Data Scientist's Toolbox course offered by Coursera in partnership with Johns Hopkins University, you will get an introduction to the main tools and ideas in the data scientist's toolbox. 

In this Mathematics for Machine Learning - Linear Algebra course offered by Coursera in partnership with Imperial College London, they look at what linear algebra is and how it relates to vectors and matrices.  

In this hands-on, four-course DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera in partnership with Deeplearning, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. 

This Mathematics for Machine Learning - Multivariate Calculus course offered by Coursera in partnership with Imperial College London offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. 

The Code Free Data Science course offered by Coursera in partnership UC San Diego is designed for learners seeking to gain or expand their knowledge in the area of Data Science.

In this Machine Learning Fundamentals in R course offered by Data Camp you will predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

In this Linear Classifiers in Python course offered by Data Camp you will learn the details of linear classifiers like logistic regression and SVM.

In this Preprocessing for Machine Learning in Python course offered by Data Camp you will learn how to clean and prepare your data for machine learning!

In this Machine Learning for Finance in Python course offered by Data Camp you will learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

In this Designing Machine Learning Workflows in Python course offered by Data Camp you will learn to build pipelines that stand the test of time.

In this Hyperparameter Tuning in Python course offered by Data Camp you will learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search

In this Fraud Detection in R course offered by Data Camp you will learn  to detect fraud with analytics in R by detecting anomalies in the type of payment methods used.

In this ARIMA Models in Python course offered by Data Camp you will learn about ARIMA models in Python and become an expert in time series analysis.

In this Extreme Gradient Boosting with XGBoost course offered by Data Camp you will learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

The 5 courses in this Applied Data Science with Python Specialization offered by Coursera in partnership with University of Michigan introduce learners to data science through the python programming language.

In this Dimensionality Reduction in R course offered by Data Camp you will learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.