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 Pittsburgh
Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Tool Calling, Database Systems, Data Visualization, Predictive Modeling, Database Design, Generative AI, Large Language Modeling, Database Management, Databases, Model Evaluation, Web Services, Data Ethics, Apache Spark, Bayesian Statistics, Database Theory, Unsupervised Learning, Linear Algebra, Model Deployment
Earn a degree
Degree · 1 - 4 Years
University of Colorado Boulder
Skills you'll gain: Semiconductors, Power Electronics, Display Devices, Control Systems, Computer Displays, Systems Design, Technical Design, Model Optimization, Electronic Systems, Electronics, Electrical Engineering, USB, Electrical Power, Electronic Components, Materials science, electromagnetics, Electronics Engineering, Electrical and Computer Engineering, Engineering, Scientific, and Technical Instruments, Image Quality
Credit offered
Graduate Certificate · 6 - 12 Months

Skills you'll gain: Spatial Analysis, C# (Programming Language)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Swift Programming, Memory Management
Beginner · Course · 1 - 4 Weeks

Northeastern University
Credit offered
Graduate Certificate · 6 - 12 Months
Multiple educators
Beginner · Specialization