Smart Analytics and Data Management
Leverage data and gain real-time insights to improve decision-making and accelerate innovation. Design and build data processing systems on Google Cloud.
Certifications: Professional Data Engineer

Path

From Data to Insights with Google Cloud Platform

3 DAYS
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This three-day instructor-led class teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.

Path

Data Engineering on Google Cloud Platform

4 DAYS
This course introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other serviorks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data, and carry out machine learning. The course covers structured, unstructured, and streaming data.

Professional Cloud Developer-Google Cloud Advanced Skills & Certification Workshop

2 DAYS
The workshop is designed to help IT professionals prepare for the Google Certified Professional—Data Engineer Certification Exam. In this workshop, we review the exam guidelines and product strategies for the major Google Cloud Platform storage, big data, and analytics services covered by the exam. We examine concepts related to data transformation, real-time processing, visualization, and machine learning and best practices to solve common problems.

Data Engineer Cert Logo (1)

Google Cloud Professional Data Engineer

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.