Professional Data Engineer
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.
Take Your Courses
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.
This course will help you prepare for Google Cloud’s Professional Data Engineer certification exam. This session uses lectures, quizzes, and discussions to help you become familiar with the structure and format of the exam. You’ll take part in exam question reasoning and case comprehension, get tips from certified experts, and review topics from the Data Engineering curriculum. At the end of the course, you’ll take an ungraded practice exam and then a graded practice exam that will simulate the exam-taking experience
Schedule Your Exam
Exam Centres in HK
Systematic Computer Education Centre – North Point
Shop 01-02, 3/F, Workingberg Commercial Building, North Point, Hong Kong
Systematic Computer Education Centre – Shatin
Office M, 10F, Kings Wing Plaza 1,3 On Kwan Street, Shatin, Hong Kong
Systematic Computer Education Centre – Tuen Mun
Room 1708, 17/F., Parklane Square, 2 Tuen Hi Road, Tuen Mun, Hong Kong