Machine Learning with Artificial Intelligence
Machine Learning with Artificial Intelligence badge image
Through a partnership with the Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University offers the Machine Learning with Artificial Intelligence micro-credential to individuals who participated in the academy program, completing the 8-10 hour training and displaying proficient skills in designing, implementing, and deploying machine learning pipelines using modern AI platforms.
Machine learning pipelines are structured processes that convert raw data into valuable predictions through data preparation, feature identification, model development, and iterative refinement.
Model Training & Evaluation is the process of fitting models to data, tuning hyperparameters, and validating performance using metrics and cross-validation to assess generalization, detect overfitting, and compare model candidates.
Data Preprocessing is the preparation of raw data for use in analysis, machine learning, or other computational tasks by cleaning, transforming, and organizing it.
Feature engineering is the process of selecting, transforming, and creating relevant variables from raw data to enhance predictive accuracy and model performance in machine learning.
**Learning Objectives:** • Design end-to-end machine learning pipelines • Implement supervised learning models • Evaluate and tune model performance • Deploy machine learning solutions using standard tools and platforms **Earning Requirements** Participants will master these skills by the successful completion of the course, including the review of all module learning materials and completing the final capstone project. The capstone project requires participants to design, train, evaluate, and document a machine learning model applied to a real-world dataset, and requires a 70% or higher to be eligible for the badge.