Professional Data Engineer
Learn how to use Google Cloud Platform to develop, construct, and run complex big data and machine learning applications.
About The Course
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.
The Professional Data Engineer exam assesses your ability to:
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality
Course Objectives
- Design a data processing system
- Build and maintain data structures and databases
- Analyze data and enable machine learning
- Optimize data representations, data infrastructure performance, and cost
- Ensure reliability of data processing infrastructure
- Visualize data
- Design secure data processing systems
Recommended Experience
3+ years of industry experience including 1+ years designing and managing solutions using GCP.
What's included
- 32 Hours Training Course
- Certificate
- 4 Module
- 24/7 Support
