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: Model Deployment, Feature Engineering, PySpark, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, PyTorch (Machine Learning Library), Big Data, Transfer Learning, Text Mining, Model Evaluation, Natural Language Processing, Unstructured Data, Machine Learning, Scalability, Unsupervised Learning, Supervised Learning
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction
Mixed · 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

Board Infinity
Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Business Analytics, Logistic Regression, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Applied Machine Learning, Unsupervised Learning, Data Preprocessing, Data Analysis, Python Programming, Model Evaluation, Supervised Learning
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Healthcare Ethics, Diagnostic Tests, Statistical Methods, Patient Communication, Health Care Procedure and Regulation, Model Evaluation, Clinical Research, Data Ethics, Healthcare Industry Knowledge, Probability & Statistics, Health Technology, Clinical Assessment, Health Informatics, Medical Equipment and Technology, Responsible AI, Applied Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Health Disparities
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
Intermediate · 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