Data Engineering on Google Cloud Platform
Design, Build & Optimize Systems
Professional Data Engineer enables
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.
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We also provide Google Cloud Architect Training Courses
After this course you will be able to:
Design data processing systems
Build and operationalize data processing systems
Operationalize machine learning models
Ensure solution quality