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Google Cloud Certified Professional Data Engineer 2023
Theory, Hand-ons and 252 Practice Exam QnA - All Hands-Ons in 1-Click Copy-Paste Style, All Material in Downloadable PDF

Rating: 4.3 out of 5 (68 ratings)
11,200 students
Last updated 6/2023

What you'll learn
Designing data processing systems
Building and operationalizing data processing systems
Operationalizing machine learning models
Ensuring solution quality
Designing data pipelines
Designing a data processing solution
Migrating data warehousing and data processing
Building and operationalizing storage systems
Building and operationalizing pipelines
Building and operationalizing processing infrastructure
Leveraging pre-built ML models as a service
Deploying an ML pipeline
Measuring, monitoring, and troubleshooting machine learning models
Designing for security and compliance
Ensuring scalability and efficiency
Ensuring reliability and fidelity
Ensuring flexibility and portability

Course content
22 sections • 95 lectures • 20h 16m total length

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