01
A Tour of Google Cloud Hands-on Labs
In this first hands-on lab you will access the Google Cloud console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.
Data Engineer Learning Path
A Data Engineer designs and builds systems that collect and transform the data used to inform business decisions.
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. Once you complete the path, check out the Google Cloud Data Engineer certification to take the next steps in your professional journey.
02
Preparing for your Professional Data Engineer Journey
This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
03
Google Cloud Big Data and Machine Learning Fundamentals
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on...
04
Modernizing Data Lakes and Data Warehouses with Google Cloud
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this...
05
Building Batch Data Pipelines on Google Cloud
Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery,...
06
Building Resilient Streaming Analytics Systems on Google Cloud
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course...
07
Smart Analytics, Machine Learning, and AI on Google Cloud
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required....
08
Serverless Data Processing with Dataflow: Foundations
This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache...
09
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. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows,...
10
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. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best...
11
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earn a skill badge by completing the Perform Foundational Data, ML, and AI Tasks quest, where you learn the basic features for the following machine learning and AI technologies: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow,...
12
Build and Optimize Data Warehouses with BigQuery
Earn a skill badge by completing the Build and Optimize Data Warehouses with BigQuery quest, where you will learn how to transform your data warehouse using BigQuery. A skill badge is an exclusive digital badge issued by Google Cloud in...
13
Engineer Data in Google Cloud
Earn a skill badge by completing the Engineer Data in Google Cloud quest, where you will learn how to: Build data pipelines using Cloud Dataprep by Trifacta, Pub/Sub, and Dataflow; Use Cloud Storage, Dataflow, and BigQuery to perform ETL; Build...