Feature Engineering

This course is part of multiple programs. Learn more

Instructor: Google Cloud Training

What you'll learn

  •   Describe Vertex AI Feature Store and compare the key required aspects of a good feature.
  •   Perform feature engineering using BigQuery ML, Keras, and TensorFlow.
  •   Discuss how to preprocess and explore features with Dataflow and Dataprep.
  •   Use tf.Transform.

    • Skills you'll gain

  •   Machine Learning
  •   Dataflow
  •   MLOps (Machine Learning Operations)
  •   Keras (Neural Network Library)
  •   Data Processing
  •   Real Time Data
  •   Feature Engineering
  •   Data Modeling
  •   Tensorflow
  •   Data Transformation
  •   Data Pipelines

    • There are 8 modules in this course

    This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

    Module 1: Introduction to Vertex AI Feature Store

    Module 2: Raw Data to Features

    Module 3: Feature Engineering

    Module 4: Preprocessing and Feature Creation

    Module 5: Feature Crosses - TensorFlow Playground

    Module 6: Introduction to TensorFlow Transform

    Module 7: Summary

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