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.

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investment Management, Investments, Securities Trading, Applied Machine Learning, Market Data, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning Algorithms, Model Evaluation, Machine Learning, Classification Algorithms, Financial Data
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Fine-tuning, Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Model Evaluation, Deep Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Analytics, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Data Analysis, Model Deployment, Machine Learning Methods, Query Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Data Visualization, Graphing, Scripting Languages, Data Visualization Software, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Methods, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Code Reusability, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months

Northeastern University
Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Machine Learning Methods, Applied Machine Learning, Model Training, AI literacy, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Data Collection, Regulatory Requirements, Business, Business Strategy, Data Transformation, Business Planning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Supply Chain Management, Data Transformation, Pandas (Python Package), Supply Chain Planning, Data Processing, Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Analysis, Classification Algorithms, Data Preprocessing, Model Training, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Import/Export, Applied Machine Learning, Data Visualization Software, Machine Learning, Risk Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Model Evaluation, Apache Hadoop, Machine Learning Methods, AI Personalization, Digital Marketing Tools, Data-Driven Marketing, Customer Analysis, Marketing Automation, Marketing Analytics, Digital Marketing, Marketing Strategies, Applied Machine Learning, Big Data, Marketing, Customer Insights, Personalized Campaigns, Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning
Beginner · Course · 1 - 4 Weeks