Machine learning courses can help you learn algorithms, data preprocessing, model evaluation, and neural networks. You can build skills in regression analysis, classification techniques, and clustering methods. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, showing how these technologies are used to implement machine learning solutions in real-world applications.

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Analysis, Applied Machine Learning, Business Strategy, AI Enablement, AI Product Strategy, Model Evaluation, Data Maintenance, Performance Tuning, Risk Mitigation, Performance Metric, Continuous Monitoring, Systems Integration, Stakeholder Communications
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks
Advanced · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Data Manipulation
Build toward a degree
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months
Skills you'll gain: Data Ethics, Responsible AI, Regulatory Compliance, Business Ethics, Compliance Management, AI Enablement, Applied Machine Learning, Project Implementation, AI Product Strategy, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks