Overview

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to identify which data columns make the most useful features.

The curriculum includes both theoretical content and hands-on labs focused on feature engineering using BigQuery ML, Keras, and TensorFlow.

Skills Covered

Upon completion of this course, learners will be able to:

  • Explain the benefits of using Vertex AI Feature Store.
  • Apply feature engineering techniques to improve ML model accuracy.
  • Determine which data columns are most effective as features.
  • Perform feature engineering using BigQuery ML.
  • Implement feature engineering workflows with Keras and TensorFlow.

Prerequisites

  • Basic understanding of Machine Learning concepts
  • Familiarity with SQL (for BigQuery ML) and Python (for Keras/TensorFlow)

Target Audience

  • Data Scientists
  • Data Analysts looking to transition into ML roles
  • Aspiring or practicing Machine Learning Engineers

Course Curriculum

Module 1: Introduction to Feature Engineering

  • What are features?
  • Why features impact model accuracy
  • Raw data vs. useful features

Module 2: Vertex AI Feature Store

  • Benefits of Feature Store
  • Managing, sharing, and reusing features
  • Online vs. offline serving

Module 3: Feature Engineering with BigQuery ML

  • Creating features from SQL queries
  • Transforming data at scale
  • Lab: Feature engineering in BigQuery

Module 4: Feature Engineering with Keras

  • Preprocessing layers
  • String lookup, discretization, normalization
  • Lab: Keras feature columns

Module 5: Feature Engineering with TensorFlow

  • tf.data for feature pipelines
  • Feature crosses and embeddings
  • Lab: TensorFlow feature engineering

Module 6: Challenge Lab (Skills Badge)

  • Jump directly to a challenge lab
  • Demonstrate skills without completing all modules

Dates & Locations

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Can’t find a date that fits? Need to train your whole team? Looking for a discount?
Speak to one of our learning experts today.

August 5, 2026 - August 5, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC

August 5, 2026 - August 5, 2026

Location: Online
Modal: VILT
Availability: TBC

October 5, 2026 - October 5, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC

October 5, 2026 - October 5, 2026

Location: Online
Modal: VILT
Availability: TBC

December 7, 2026 - December 7, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC

December 7, 2026 - December 7, 2026

Location: Online
Modal: VILT
Availability: TBC
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