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212 Short courses in Machine Learning in United States

Theoretical Foundations of Machine Learning
In his three-course Johns Hopkins Engineering's Theoretical Foundations of Machine Learning Dr. Erhan Guven guides you through the full machine learning workflow: from how to clean and prepare data all the way to building deep learning neural networks.

No Code and Agentic AI
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.

AI and Data Science - Leveraging Responsible AI, Data and Statistics for Practical Impact
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).

Data Engineering with AWS Nanodegree
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.
Applied Data Science with Python
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.
Code Free Data Science
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.
Deploying Machine Learning Models
This Deploying Machine Learning Models course offered by Coursera in partnership with UC San Diego is part of the Python Data Products for Predictive Analytics Specialization.
Mathematics for Machine Learning and Data Science
This is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability. This Mathematics for Machine Learning and Data Science course is offered by Coursera in partnership with Deeplearning.
Introduction to Machine Learning with Python
This Introduction to Machine Learning with Python course is offered by Coursera in partnership with Arizona State University.
Fraud Detection in R
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.
Dimensionality Reduction in R
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.
Machine Learning for Finance in Python
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.
Designing Machine Learning Workflows in Python
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.
Model Validation in Python
In this Model Validation in Python course offered by Data Camp you will learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Market Basket Analysis in Python
In this Market Basket Analysis in Python course offered by Data Camp you will explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Linear Classifiers in Python
In this Linear Classifiers in Python course offered by Data Camp you will learn the details of linear classifiers like logistic regression and SVM.
Machine Learning Fundamentals in R
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.
Extreme Gradient Boosting with XGBoost
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.
ARIMA Models in Python
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.
Advanced NLP with spaCy
In this Advanced NLP with spaCy course offered by Data Camp you will learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.