Google Cloud Data Engineer

Google Cloud Data Engineer for Google Cloud Certification Training

Course Program

Overview

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

What You'll Learn
Student Testimonial
In general it is a good course,recommended for people with no previous experience in Cloud technologies like myself. Gives you a fundamental idea of how GCP and its most used products work, (Just enough to start using them for simple projects),
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Radha Mukundan
Student

Course Content​

Google Cloud Data Engineer Lessons

Welcome to the Big Data and Machine Learning fundamentals on Google Cloud course.

  • Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.
  • In this section you will have an existing Apache SparkML recommendation model that is running on-premise.

  • You will learn about recommendation models and how you can run them in the cloud with Cloud Dataproc and Cloud SQL.

  • In this section you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard.
  • Before you build your pipeline you’ll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.
  • Don’t want to create a custom ML model from scratch?
  • Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.
  • In this final section, we will review the key challenges, solutions, and topics covered as part of this fundamentals course.
  • We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.
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