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: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI Agents, LLM Application, Productivity, OpenAI, Java, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, JUnit, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Creative Problem-Solving, Document Management, Secure Coding, Business Logic, Problem Solving
Beginner · Specialization · 3 - 6 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling
Beginner · Course · 1 - 3 Months

Skills you'll gain: Snowflake Schema, Applied Machine Learning, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Processing, Data Science, Python Programming, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, ChatGPT, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, AI Product Strategy, Natural Language Processing, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Image Quality
Intermediate · Specialization · 1 - 3 Months

University of Minnesota
Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms
Mixed · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Algorithms, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Business Transformation, Responsible AI, Cloud Security, Statistical Visualization, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Cloud Solutions, Cloud Computing, Generative AI, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning
Intermediate · Course · 1 - 4 Weeks