Machine Learning on Google Cloud (MLGC)

 

Course Overview

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project. You learn how to build AutoML models without writing a single line of code; build BigQuery ML models using SQL, and build Vertex AI custom training jobs by using Keras and TensorFlow. You also explore data preprocessing techniques and feature engineering.

Who should attend

  • Aspiring machine learning data analysts, data scientists and data engineers
  • Learners who want exposure to ML and use Vertex AI AutoML, BigQuery ML, Vertex AI Feature Store, Vertex AI Workbench, Dataflow, Vertex AI Vizier for hyperparameter tuning, TensorFlow/Keras.

Prerequisites

  • Some familiarity with basic machine learning concepts.
  • Basic proficiency with a scripting language, preferably Python.

Course Objectives

  • Describe the technologies, products, and tools to build an ML model, an ML pipeline, and a Generative AI project.
  • Understand when to use AutoML and BigQuery ML.
  • Create Vertex AI-managed datasets.
  • Add features to the Vertex AI Feature Store.
  • Describe Analytics Hub, Dataplex, and Data Catalog.
  • Describe how to improve model performance.
  • Create Vertex AI Workbench user-managed notebook, build a custom training job, and deploy it by using a Docker container.
  • Describe batch and online predictions and model monitoring.
  • Describe how to improve data quality and explore your data.
  • Build and train supervised learning models.
  • Optimize and evaluate models by using loss functions and performance metrics.
  • Create repeatable and scalable train, eval, and test datasets.
  • Implement ML models by using TensorFlow or Keras.
  • Understand the benefits of using feature engineering.
  • Explain Vertex AI Model Monitoring and Vertex AI Pipelines.

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מחירים & Delivery methods

הדרכה מקוונת

אורך
5 ימים

מחיר
  • 11,270 ₪
שיעורים בכיתה

אורך
5 ימים

מחיר
  • ישראל: 11,270 ₪

לוח זמנים

אנגלית

1 hour difference

הדרכה מקוונת Time zone: שעון קיץ מרכז אירופה
הדרכה מקוונת Time zone: שעון מרכז אירופה
הדרכה מקוונת בהנחיית מדריכים:   המדריך מעביר קורסים מקוונים If you have any questions about our online courses, feel free to contact us via phone or Email anytime.
זהו קורס FLEX, המועבר באופן וירטואלי ובכיתה.

מזרח תיכון

האמירויות

זהו קורס FLEX, המועבר באופן וירטואלי ובכיתה.