The Google Cloud Certified Professional Data Engineer (PDE) course prepares learners to design, build, operationalize, secure, and monitor data processing systems on Google Cloud Platform (GCP). The course focuses on transforming raw data into actionable insights by applying data engineering best practices, scalable architectures, and analytics solutions. Learners will gain hands-on experience designing data pipelines, managing large-scale datasets, implementing machine learning workflows, and ensuring data quality, security, and reliability. This course equips participants with the skills required for data-driven decision-making and prepares them for the Google Cloud Professional Data Engineer certification. Course Objectives By the end of this course, learners will be able to: Design and implement scalable data processing architectures on Google Cloud Build and manage batch and real-time data pipelines Store, process, and analyze structured and unstructured data Apply data governance, security, and compliance best practices Optimize data workflows for performance, reliability, and cost Integrate machine learning models into data solutions Monitor and maintain production data systems
This course includes
Hear from participants who have experienced our training.
The facilitator’s wealth of experience was both striking and beneficial. He really helped translate concepts to real life.
The practical session where step by step of the lecture is broken down in visual and practice
I enjoyed the interactivity. It was also very direct, pointing out to us the key things to look for in the bidding, tender and proposal administration process, while also ensuri...
The practical session of the class which helped in giving a live run through of the necessary bidding and tender platform
The atmosphere was very pleasant, as it was an interactive and engaging session, which I personally enjoyed.









