type: BadgeClass
id: https://api.badgr.io/public/badges/q1C-DHdZQRK-OOdasQ-nhg
name: Machine Learning with Artificial Intelligence
image:
  id: https://badges.parchment.com/public/badges/q1C-DHdZQRK-OOdasQ-nhg/image
image alt text: Machine Learning with Artificial Intelligence badge image
achievement type: Badge
description: 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.
issuer: https://api.badgr.io/public/issuers/yOtRE461QKC-ZV7tv9Cy9w
alignment:
  target name: Machine learning pipelines
  target url: https://talentneuron.com/
  target description: Machine learning pipelines are structured processes that convert raw data into valuable predictions through data preparation, feature identification, model development, and iterative refinement.
  target framework: TALENT_NEURON
  target code: TN-43710
alignment:
  target name: Model Training & Evaluation
  target url: https://talentneuron.com/
  target description: 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.
  target framework: TALENT_NEURON
  target code: TN-81925
alignment:
  target name: Data Preprocessing
  target url: https://talentneuron.com/
  target description: Data Preprocessing is the preparation of raw data for use in analysis, machine learning, or other computational tasks by cleaning, transforming, and organizing it.
  target framework: TALENT_NEURON
  target code: TN-55899
alignment:
  target name: Feature engineering
  target url: https://talentneuron.com/
  target description: 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.
  target framework: TALENT_NEURON
  target code: TN-35925
criteria:
  narrative: **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.