University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Dashboard, Business Intelligence, Data Management, Data Security, Microsoft Azure, Microsoft SQL Servers, Data Analysis, SQL, Data Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Data Manipulation, Scalability, Applied Machine Learning, Debugging, Model Evaluation, Python Programming, Software Visualization, Data Preprocessing, Machine Learning
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Agentic Workflows, Prompt Engineering, Agentic systems, AI Personalization, AI Enablement, Artificial Intelligence, Human Computer Interaction, Human Centered Design, Responsible AI, User Flows, User Experience Design, Context Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Data Quality, SQL, Data Analysis, Complex Problem Solving, Business Metrics, Business Intelligence, Data Integrity, Data Warehousing, Data Manipulation, Performance Measurement, Data Transformation, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Intermediate · Specialization · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Predictive Analytics, Analytics, Data Analysis, Statistical Methods, Unsupervised Learning, Probability & Statistics, Logistic Regression, Classification Algorithms
Mixed · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Dental Informatics, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Graph Theory
Mixed · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months