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Overview
Key Features
- The purpose of this Preparing for the Google Cloud Professional Data Engineer Exam offered by Coursera in partnership with Google Cloud is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.
Programme Structure
Courses include:
Understanding the Professional Data Engineer Certification
Designing Data Processing Systems
Building and Operationalizing Data Processing Systems
Operationalizing Machine Learning Models
Security, Policy, and Reliability
Resources and Next Steps
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Information Technology (IT) General Engineering & Technology Web Technologies & Cloud Computing View 35 other Short Courses in General Engineering & Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Advanced Level
- The Data Engineering on Google Cloud Platform specialization or equivalent learning and 6 months experience with cloud computing and data engineering
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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