Google Cloud Certified Professional Data Engineer

Google Cloud Certified Professional Data Engineer is a highly valued certification from Google that validates professionals’ design, build and operate powerful big data and machine learning solutions using Google Cloud Platform. This Google Cloud Certified Professional Data Engineer course in Dubai is designed to enable professionals to solidify their foundations in Data Engineering and Machine Learning field. This comprehensive Google Cloud Certified Professional Data Engineer training prepares professionals for the certification exam and helps them take their careers to the next level.

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  • 24 Hours Training
  • Online / Classroom / Onsite
  • 20 Apr, 2024 / 28 Apr, 2024
  • Additional Program Dates
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What is this Google Cloud Certified Professional Data Engineer course all about?

The Google Cloud Certified Professional Data Engineer course in Dubai provides professionals with a practical understanding of ways to design, build, maintain, and troubleshoot data processing systems. The GCP Data Engineer course familiarizes participants with the crucial aspects of the system including reliability, scalability, fault-tolerance, fidelity, security, and efficiency. This comprehensive Google Cloud Certified Professional Data Engineer course incorporates ample hands-on lab sessions that help participants gain practical hands-on experience with the concepts explained throughout the modules.

Why is getting trained as Google Cloud Certified Professional Data Engineer important?

Gaining a working knowledge of relevant GCP data processing tools and technologies can bring endless opportunities to professionals. This Google Cloud Certified Professional Data Engineer training in Dubai explains core concepts of data engineering using the Google cloud platform. Furthermore, this GCP Data Engineer training is a full-fledged training program that increases professionals' proficiency and competency and imparts critical job skills for Data Engineer roles.

Why do companies hire professionals with Google Cloud Certified Professional Data Engineer certification?

Google Cloud Certified Professional Data Engineer is a globally valued certification that validates one’s proficiency in Data Engineering and Machine Learning.  In today’s data-driven world, organizations are on the run for skilled and certified data engineering professionals. They hire Google Cloud Certified Professional Data Engineer for their expert knowledge of data processing systems. Their ability to implement data processing and machine learning solutions on the Google Cloud Platform (GCP) makes them of great value to organizations.

Industry Trends


Today, big data is among the handful of industries that saw growth and is expected to expand significantly in the coming years. The Google Cloud Certified Professional Data Engineer certification comes with its own set of merits and opportunities in the market. Let us see how.

Market trends

The Google Cloud Certified Professional Data Engineer is one of the most sought-after credentials among big data and analytics professionals. Owing to their popularity in the global job market, top companies such as PayPal, Target, Twitter, and many more constantly hire professional GCP data engineers. The job prospects for Certified Data Engineers are positive as ​​data engineering is currently one of tech’s fastest-growing sectors.

Salary Trends

As the Big Data market continues to grow in both volume and complexity, the demand for certified Data Engineers is growing rapidly. Certified Data Engineers have higher chances of better remuneration as Google Cloud Data Engineer certification stands third among the top-paying certifications worldwide. According to the data from Glassdoor.com, the average salary for a Data Engineer is AED 23,500 per month in Dubai, United Arab Emirates.

Demand & Opportunities


With the integration of AI and ML with data technologies, the demand for Certified Data Engineers is skyrocketing. The Google Cloud Certified Professional Data Engineer certification gives an assurance of the necessary competency in related roles, thus making these opportunities easier to avail.

A few of the most-sought data engineering jobs available in the Dubai region (as observed in popular Dubai job portals) follow:

  1. Data Engineers create and manage data services, design and build data extraction, transformation, and load processes through custom data pipelines
  2. Machine Learning Engineers create programs and algorithms that enable machines to take actions without being directed
  3. AI Engineers build AI models using machine learning algorithms and deep learning neural networks to draw business insights
  4. Data Scientists combine computer science, modeling, statistics, analytics, and math skills to help organizations to solve vexing problems
  5. Data Architect analyzes the data needs of the company and uses skills in coding to maintain secure databases

Course Outcome


Successful completion of the Google Cloud Certified Professional Data Engineer certification course will help you to:

  • Explore core concepts of data engineering using the Google cloud platform
  • Master Google cloud platform services and solidify your foundation in Data Engineering and Machine Learning field
  • Learn how to ​​design, build and operationalize data solutions
  • Build and operationalize data processing systems
  • Master techniques to utilize the cloud efficiently to store and retrieve data

Course Module


  • Candidates should be well-versed in data management, processing, and security, as well as data warehousing. They should also have practical expertise with the Google Cloud Platform.
  • Strong programming skills in SQL and at least one other programming language
  • Knowing Hadoop, MapReduce, and Spark, as well as other related distributed systems technologies
  • Working knowledge of big data analysis and processing tools including Apache Beam, Apache Flink, and Apache Spark
  • Expertise with the Google Cloud AI Platform and understanding of machine learning methods
  • Knowledge of cloud computing ideas and familiarity with cloud-based services and infrastructure

Building and operationalizing storage systems

  • Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Datastore, Memorystore)
  • Storage costs and performance
  • Life cycle management of data

Building and operationalizing pipelines

  • Data cleansing
  • Batch and streaming
  • Transformation
  • Data acquisition and import
  • Integrating with new data sources

Building and operationalizing processing infrastructure

  • Provisioning resources
  • Monitoring pipelines
  • Adjusting pipelines
  • Testing and quality control

Designing for security and compliance

  • Identity and access management 
  • Data security (encryption, key management)
  • Ensuring privacy 
  • Legal compliance 

Ensuring scalability and efficiency

  • Building and running test suites
  • Pipeline monitoring 
  • Assessing, troubleshooting, and improving data representations and data processing infrastructure
  • Resizing and autoscaling resources

Ensuring reliability and fidelity

  • Performing data preparation and quality control 
  • Verification and monitoring
  • Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
  • Choosing between ACID, idempotent, and eventually consistent requirements

Ensuring flexibility and portability

  • Mapping to current and future business requirements
  • Designing for data and application portability 
  • Data staging, cataloging, and discovery

Selecting the appropriate storage technologies

  • Mapping storage systems to business requirements
  • Data modeling
  • Trade-offs involving latency, throughput, transactions
  • Distributed systems
  • Schema design

Designing data pipelines

  • Data publishing and visualization 
  • Batch and streaming data 
  • Online (interactive) vs. batch predictions
  • Job automation and orchestration

Designing a data processing solution

  • Choice of infrastructure
  • System availability and fault tolerance
  • Use of distributed systems
  • Capacity planning
  • Hybrid cloud and edge computing
  • Architecture options 

Migrating data warehousing and data processing

  • Awareness of current state and how to migrate a design to a future state
  • Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
  • Validating a migration

Leveraging pre-built ML models as a service

  • ML APIs 
  • Customizing ML APIs 
  • Conversational experiences 

Deploying an ML pipeline

  • Ingesting appropriate data
  • Retraining of machine learning models (AI Platform Prediction and Training, BigQuery ML, Kubeflow, Spark ML)
  • Continuous evaluation

Choosing the appropriate training and serving infrastructure

  • Distributed vs. single machine
  • Use of edge compute
  • Hardware accelerators 

Measuring, monitoring, and troubleshooting machine learning models

  • Machine learning terminology 
  • Impact of dependencies of machine learning models
  • Common sources of error

Program Dates


20 Apr
  • 10:00 AM
  • Sat
  • Classroom
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28 Apr
  • 10:00 AM
  • Sun
  • Classroom
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Expert Instructors & Teaching Methods


 

 

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainers

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Why Count on Learners Point?


Being the leading provider of Google Cloud certification courses in Dubai, at Learners Point we help professionals master the necessary skill sets to successfully complete the Google Cloud Certified Professional Data Engineer certification.

Following are the USPs our Google Cloud Certified Professional Data Engineer certification course offers you:

  • We look at real-world scenarios organizations face and formulate our GCP Data Engineer training course evaluating practical requirements
  • Apart from theoretical knowledge, we also focus on practical case studies to give you a reality check and insight into what exactly will be asked of you while delivering in a demanding role
  • Our bespoke GCP Certified Data Engineer course also equips you with hands-on experience by offering assignments related to the actual work environment
  • Apart from organizing group sessions, we also offer a guided learning experience to enhance the quality of our GCP Data Engineer training program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience


"The training offered by Learners Point School is interesting and has a number of benefits. All of the questions are patiently addressed by the instructor. I was able to learn both in-depth information about a specific topic and a strong theoretical understanding of industrial dynamics through this training."

Roald Pearson

Data Engineer

Learners Point Academy in Dubai is one of the best places to receive training . I received a lot of help in my learning process from the exceptionally well-designed and captivating classes. I'm grateful to Learners Point Academy."

Paul Johnson

Analytical Consultant

"The course's curriculum was incredibly well-organized, which enabled me to acquire the required material. I was able to learn a lot about the course thanks to the trainees' sessions and the blended learning approach. I fully endorse the Learners Point Academy course."

Peter Joseph

Machine Learning Professional

"Eugene is an excellent teacher. He is efficient and makes a difficult subject simple. I'm very grateful for his teaching and patience in understanding the curriculum."

Karl Havlik

Data Engineer

"The instructor was very knowledgeable and used many real world examples. He did not read straight from the book. Added his own personality and perspectives."

Gina M

IT Professional

Our Graduates


Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Google Cloud Certified Professional Data Engineer

With Big Data and Data Science taking over today’s business world, it is always a great choice to flourish in this domain. This sector offers ample job opportunities for professionals with the right skillset. With nearly every industry at its peak of major digital transformation, professionals can have a promising future with a career in Data Engineering.
The Google Cloud Certified Professional Data Engineer is one of the most sought-after credentials among big data and analytics professionals. Issued by Google, this GCP Data Engineer credential is valid for 2 years from the date of certification and is widely recognized by top-notch organizations. Owing to its value in the global business world, this certification can bring certified professionals a plethora of job opportunities and increased earning potential.
The Google Cloud Certified Professional Data Engineer training in Dubai is a perfect fit for any professional interested in enhancing their competency in Data Engineering and the ML field or wanting to prepare for the Google Cloud Certified Professional Data Engineer certification exam.
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.
With technological advancements in the UAE, Dubai is now becoming the home to tech savvies. Professionals with significant experience in Data Engineering and conceptual understanding of AL and ML can bring their careers one level up. The demand for Data Engineering skilled professionals is all set to rise at an impressive rate in the UAE making it the ideal location for a futuristic career.
The potential for Big Data and Cloud technology is huge in the future as it is an unavoidable trend in a wide range of industries. Due to its complexity, professionals are to be trained by industry experts to master this field. This Google Cloud Certified Professional Data Engineer training in Dubai explains core concepts of data engineering using the Google cloud platform. Furthermore, this GCP Data Engineer training is a full-fledged training program that increases your proficiency and competency and imparts critical job skills for Data Engineer roles.
There are no specific prerequisites for enrolling in this Google Cloud Certified Professional Data Engineer course. However, we do recommend participants have a basic understanding of the cloud, databases, and data analysis.
In order to appear for the Google Cloud Certified Professional Data Engineer certification exam, candidates are to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.