Build, Train, and Deploy ML Pipelines using BERT

Por: Coursera . en: , ,

  • Week 1: Feature Engineering and Feature Store
    • Transform a raw text dataset into machine learning features and store features in a feature store.
  • Week 2: Train, Debug, and Profile a Machine Learning Model
    • Fine-tune, debug, and profile a pre-trained BERT model.
  • Week 3: Deploy End-To-End Machine Learning pipelines
    • Orchestrate ML workflows and track model lineage and artifacts in an end-to-end machine learning pipeline.