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Google Cloud

Google Cloud Data Engineer Learning Path

Google Cloud via edX Professional Certificate

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Overview

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A Data Engineer designs and builds systems that collect and transform the data used to inform business decisions. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Data Engineer role.

Syllabus

Courses under this program:
Course 1: Preparing for the Google Cloud Professional Data Engineer Exam

This course is intended for the following participants: 1.Cloud professionals interested in taking the Data Engineer certification exam. 2.Data engineering professionals interested in taking the Data Engineer certification exam.



Course 2: Google Cloud Big Data and Machine Learning Fundamentals

Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud.



Course 3: Modernizing Data Lakes and Data Warehouses with Google Cloud

This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.



Course 4: Building Batch Data Pipelines on Google Cloud

Developers responsible for designing pipelines and architectures for data processing.



Course 5: Building Resilient Streaming Analytics Systems on Google Cloud

This class is intended for data analysts, data scientists and programmers who want to build for out-of-the-ordinary scenarios such as high availability, resiliency, high-throughput, real-time streaming analytics on leveraging Google Cloud.



Course 6: Smart Analytics, Machine Learning, and AI on Google Cloud

This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required.



Course 7: Serverless Data Processing with Dataflow: Foundations

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow.



Course 8: Serverless Data Processing with Dataflow: Develop Pipelines

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK.



Course 9: Serverless Data Processing with Dataflow: Operations

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model.



Courses

Taught by

Google Cloud Training

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