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 Illinois at Urbana-Champaign
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Power BI, Azure Synapse Analytics, Microsoft Azure, Governance, Real Time Data, Enterprise Architecture, Application Deployment, Data Architecture, DevOps, Database Architecture and Administration, Data Integration, Data Security, Microsoft 365, Role-Based Access Control (RBAC), Scalability, Collaborative Software, Version Control
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Computer Vision, Power Electronics, Convolutional Neural Networks, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Electronic Systems, Deep Learning, Systems Design, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Technical Design, electromagnetics, Electrical Power, Electrical Systems
Credit offered
Graduate Certificate · 6 - 12 Months

Skills you'll gain: Campaign Management, Cross-Channel Marketing, Google Ads, Online Advertising, Advertising Campaigns, Performance Analysis, Digital Advertising, Marketing Channel, Social Media Campaigns, Paid media, Performance marketing, Advertising, Return On Investment, Media Buying, Marketing Analytics, Marketing Budgets, Budget Management, Data-Driven Decision-Making, Cost Benefit Analysis
Beginner · Course · 1 - 4 Weeks