Data Engineering on Google Cloud Platform

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.

Want to gain hands-on experience with key machine learning processes on Google Cloud? This four-day course will equip you with the knowledge and skills to design and build data processing systems.

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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