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  • PRIVATE BATCH
  • PUBLIC PROGRAM
  • ON DEMAND
  • BLENDED

Course Details

  • Course Overview
  • Skills Gained
  • Who Can Benefit
  • Prerequisite
  • Syllabus

This one-day instructor-led course helps participants to structure their preparedness for the Professional Data Engineer exam. The course will cover the structure and format of the examination, further its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, participants will enlighten themselves with the domain covered by the examination, therefore on facilitate them devise a preparation strategy. Rehearses helpful skills together with exam question reasoning and case comprehension. Tips. Analyze of topics from the Data Engineering curriculum.

  • Provide information, tips, and recommendation on taking the exam
  • Position the Professional Data Engineer Certification
  • Review the sample case studies
  • Review every section of the exam covering highest-level concepts sufficient to build confidence in what is known by the participants and indicate skill gaps/areas of study if not known by the participants
  • Connect participants to applicable target learning

This course is designed for the following candidates:

  • Data engineering professionals
  • Cloud professionals
To get the foremost out of this course, candidates should:

  • Knowledge with Google Cloud Platform to the level of the Data Engineering on Google Cloud Platform course (suggested, not required)

• Understanding the Professional Data Engineer Certification

• Establish basic knowledge about the certification exam and eliminate any confusion or misunderstandings about the process and nature of the exam itself.
o Position the Professional Data Engineer certification among the offerings
o Distinguish between Associate and Professional
o Provide guidance between Professional Data Engineer and Associate Cloud Engineer
o Describe how the exam is administered and the exam rules
o Provide general advice about taking the exam

• Sample Case Studies for the Professional Data Engineer Exam

• In-depth review of the Case Studies provided for exam preparation
o Flowlogistic
o MJTelco

• Designing and Building (Review and preparation tips)

• Tips and examples covering data processing systems design skills, data structures, and database skills that could be tested on the exam.
o Designing data processing systems
o Designing flexible data representations
o Designing data pipelines
o Designing data processing infrastructure
o Build and maintain data structures and databases
o Building and maintaining flexible data representations
o Building and maintaining pipelines
o Building and maintaining processing infrastructure

• Analyzing and Modeling (Review and preparation tips)

• Tips and examples covering data analysis, analysis and optimization of business processes, and machine learning skills that could be tested on the exam.
o Analyze data and enable machine learning
o Analyzing data
o Machine learning
o Machine learning model deployment
o Model business processes for analysis and optimization
o Mapping business requirements to data representations
o Optimizing data representations, data infrastructure performance and cost

• Reliability, Policy, and Security (Review and preparation tips)

• Tips and examples covering reliability, policies, security, and compliance skills that could be tested on the exam.
o Design for reliability
o Performing quality control
o Assessing, troubleshooting, and improving data representation and data processing infrastructure
o Recovering data
o Visualize data and advocate policy
o Building (or selecting) data visualization and reporting tools
o Advocating policies and publishing data and reports
o Design for security and compliance
o Designing secure data infrastructure and processes
o Designing for legal compliance

• Resources and next steps

• Resources for learning more about identified subjects that could be tested on the exam.
o Resources for learning more about designing data processing systems, data structures, and databases
o Resources for learning more about data analysis, machine learning, business process analysis, and optimization
o Resources for learning more about data visualiztion and policy Resources for learning more about reliability design
o Resources for learning more about business process analysis and optimization
o Resources for learning more about reliability, policies, security, and compliance

Audience

  • Cloud Administrators
  • Data Professionals
  • Cloud Architects

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

Download the syllabus

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FAQ

  • What is a Google Cloud certification?
  • Why should I get a Google Cloud certification?
  • How long is a Google Cloud certification valid?
  • What is the recertification policy?
  • Why do I need to recertify?
  • How do I pay?
  • What are your cancellation & refund policy?

Google Cloud's certification program gives Google Cloud users, customers and partners a way to demonstrate their technical skills in a particular job role or technology. Individuals are assessed using a variety of rigorously developed industry standard methods to determine whether they meet Google Cloud's proficiency standards.

Google Cloud certifications give you benchmarks for your professional development. They help you gauge your skill set against your peers and demonstrate your value to hiring managers.

Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date certified. Candidates must recertify in order to maintain their certification status.

Unless explicitly stated in the detailed exam descriptions, all Google cloud certifications are valid for two years from the date certified. Candidates must recertify in order to maintain their certification status and certificate number.

Google technology changes frequently. We require recertification to ensure you're maintaining your skills.

We accept all modes of payment. If you are being nominated by your organization, your organization need to release PO before the course start date. If you are an individual you can pay through credit / debit cards, online transfer (RTGS/NEFT) to our account 7 days prior to the course start date.

  • In a highly unlikely event of cancellation of batch from our end, we shall refund 100% that is paid by you. If client choose to cancel for any reasons, below is the terms.
  • If you cancel or reschedule your registration 5 or more calendar days before the scheduled start date of the class – No cancellation charges
  • If you cancel or reschedule your registration less than 5 calendar days before the scheduled start date of the class – cancellation charges 100% of the course fee
  • If you do not show up for the event, or cancel on the day of the event - cancellation charges 100% of the course fee

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