#GCP_Data_Engineer
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A 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.
Prerequisites:
If you’re already a data scientist, a data engineer, data analyst, machine learning engineer or looking for a career change into the world of data, the Google Cloud Professional Data Engineer Certification is for you.
Being able to use cloud technologies is becoming a requirement for any kind of data focused role.
Learners should be familiar with the fundamentals of cloud computing and relevant practical experience
Who can Attend:
Google recommends 3+ years of industry experience and 1+ years designing and managing solutions using GCP for professional level certifications.
Data professionals
Number of Hours: 40hrs
Certification: GCP Professional Cloud Collaboration Engineer (GCP PDE )
Key Features:
One to One Training
Online Training
Fastrack & Normal Track
Resume Modification
Mock Interviews
Video Tutorials
Training Materials
Real Time Projects
Virtual Live Experience
Preparing for Certification
Life time Access
24/7 Support Team
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