Google Certified Professional Data Engineer: Your Path to a Cloud Data Career

Our Google Certified Professional Data Engineer course is for aspiring and current data professionals who want to master the skills needed to design, build, and manage data processing systems on the Google Cloud Platform (GCP). This certification is highly respected in the industry and validates your ability to create scalable, robust, and secure data solutions that support business intelligence and machine learning.

Note: This is a professional-level certification. While our course provides a comprehensive learning path, it is recommended that you have a solid understanding of data processing concepts and at least one year of hands-on experience with GCP. Our Google Cloud Digital Leader course is an excellent prerequisite.

Course Highlights

• End-to-End Data Pipeline: You will learn to design and build data pipelines from start to finish. This includes ingesting data from various sources, processing it, storing it, and making it available for analysis and machine learning.

• Deep Dive into GCP Data Services: We’ll explore a wide range of Google Cloud’s powerful data services, including:

  • BigQuery: Google’s serverless, highly scalable, and cost-effective data warehouse.

  • Cloud Storage: For storing massive amounts of data in a cost-effective way.

  • Dataflow: For building both batch and stream processing pipelines.

  • Dataproc: For running Apache Spark and Hadoop clusters.

  • Pub/Sub: For real-time messaging and data ingestion.

• Hands-On, Project-Based Learning: This course is built on a project-based approach. You will get hands-on experience working with real-world datasets, allowing you to build a portfolio of projects that demonstrate your skills to potential employers.

What You’ll Learn

• Designing Data Processing Systems: Master the art of designing efficient and scalable data solutions, including choosing the right services for a given workload and optimizing for cost and performance.

• Building and Operating Data Pipelines: Gain hands-on experience in building automated data pipelines that can handle high volumes of data and run reliably.

• Ensuring Data Quality and Security: Learn how to implement data governance best practices, monitor your data pipelines for issues, and secure your data to meet compliance requirements.

• Modeling and Analyzing Data: Explore how to use services like BigQuery and Looker to model, query, and analyze your data to extract valuable business insights.

• Orchestrating the Pipeline: Learn how to use services like Cloud Composer to schedule and monitor your data workflows, ensuring they run smoothly.

Who This Course Is For

This course is for data professionals who are ready to specialize in the cloud, including:

• Data Engineers: Validate your skills and become a leading expert in building data solutions on GCP.

• Data Analysts: Elevate your career by learning how to build and manage the data infrastructure that powers your analysis.

• Data Scientists: Gain a deeper understanding of the data engineering concepts and tools needed to deploy your machine learning models into production.

By completing our Google Certified Professional Data Engineer course, you will earn a certification that is highly sought after by employers and positions you as an expert in building the data infrastructure of the future.