Google Cloud Professional Data Engineer Certification Training

Categories: GCP
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About Course

Google Professional Data Engineers enable 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.


After Completing Google Professional Data Engineer Certification Course, Students Will be Able To:

  • Acquire knowledge on cloud computing basics and how Google Cloud products and services can be used to achieve an organization’s goals.
  • Attain skills required to clear the GCP Cloud Digital Leader Certification Exam.

Main Highlights of GCP Data Engineer Course

  • Our Google Cloud Professional Data Engineer training modules have 50% – 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • Industry certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being an authorized GCP Learning Partner gives us the edge over competition.
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Course Content

Module 1: Preparing for Google Cloud Professional Data Engineer

  • Designing Data Processing Systems
  • Building and Operationalizing Data Processing Systems
  • Operationalizing Machine Learning Models
  • Security, Policy, and Reliability

Module 2: Google Cloud Big Data and Machine Learning Fundamentals


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


Module 4: Building Batch Data Pipelines on Google Cloud


Module 5: Building Resilient Streaming Analytics on Google Cloud


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


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