Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Skills you'll gain: Box Plots, Data Science, Histogram, Data Presentation, Statistical Analysis, Statistical Methods, Statistical Visualization, Data Preprocessing, Descriptive Statistics, Probability & Statistics, Data Analysis, Data Visualization Software, Data-Driven Decision-Making, Bayesian Statistics, Applied Machine Learning, Scatter Plots, Scripting, Python Programming, Data Processing, Machine Learning Algorithms
Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Healthcare Ethics, Statistical Methods, Statistical Machine Learning, Patient Communication, Health Care Procedure and Regulation, Clinical Research, Model Evaluation, Data Ethics, Probability & Statistics, Health Technology, Health Informatics, Decision Intelligence, Health Policy, Responsible AI, Machine Learning, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Data Ethics, Jenkins, AI Security, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Reinforcement Learning, Spring Boot, Enterprise Application Management
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Data Mining, Data Processing, Classification Algorithms, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Applied Machine Learning, Unsupervised Learning, Model Training, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
Beginner · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks
Advanced · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods
Mixed · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Supervised Learning, Python Programming, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Analysis, Applied Machine Learning, Regression Analysis, Model Training, Unsupervised Learning, Mathematics and Mathematical Modeling, Statistical Methods, Linear Algebra
Mixed · Course · 1 - 4 Weeks

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