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.
University of Michigan
Skills you'll gain: Debugging, Programming Principles, Computer Programming, Python Programming, Integrated Development Environments, Computer Programming Tools, Computational Thinking, Software Installation
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Sungkyunkwan University
Skills you'll gain: Language Competency, Language Learning, Vocabulary, Culture, Literacy
Beginner · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: English Language, Grammar, Language Competency, Vocabulary, Language Learning, Oral Comprehension, Oral Expression
Beginner · Course · 1 - 3 Months

Lund University
Skills you'll gain: Writing, Editing, Literacy, Grammar, Peer Review, Constructive Feedback, Style Guides
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, R (Software), Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Verbal Communication Skills, Oral Comprehension, English Language, Vocabulary, Language Learning, Communication, Grammar
Beginner · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Technology Roadmaps, Critical Thinking, Innovation
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Analysis, Data Visualization, Machine Learning
Mixed · Course · 1 - 3 Months