Data Engineering on Google Cloud Platform Course Overview

The Data Engineering on Google Cloud Platform course is designed to equip learners with essential skills for building and managing robust, scalable data solutions on Google Cloud. Through a comprehensive curriculum, participants will delve into a variety of Google Cloud technologies, including Dataproc, BigQuery, Dataflow, and more, learning how to process big data, integrate with machine learning APIs, and handle streaming data.

Starting with Module 1, students will gain hands-on experience with Google Cloud Dataproc by creating and managing Hadoop clusters, scaling resources, and optimizing costs with preemptible worker nodes. In subsequent modules, learners will run Dataproc jobs, integrate with other GCP services, and explore serverless data analysis with BigQuery. They'll also develop data pipelines with Dataflow, harness machine learning with Tensorflow and CloudML, and understand streaming analytics.

By the end of the course, participants will have the practical knowledge to design and deploy data processing systems, enabling them to extract insights from large datasets and make data-driven decisions. This course is vital for those looking to advance their careers in the field of data engineering.