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Google Professional Data Engineer Training & Certification

Google Cloud Certified Professional Data Engineer Training & Certification is a worldwide valued certification that sharpens your ability to construct data-driven decisions by optimizing the captured data. The certification training expertly demonstrates how to effectively collect, transform, and visualize data to generate practical insights. This understanding training aims to render practical comprehensive to design, build, preserve, and troubleshoot the data processing systems while emphasizing on the crucial aspects of the system including reliability, scalability, fault-tolerance, fidelity, safety, and efficiency.

A Data Engineer is accountable to execute data analysis to anticipate prospected business results, develop statistical models for supporting the decision-making, and construct machine learning models for simplifying and automating primary processes of the business.

Note: The viability of all Google certifications is two years from the date certified. Students are needed to recertify in order for maintaining the status of and receive certification.

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Details of Cloud Data Engineer Training Course

There are few pre-requirement to get Cloud Data Engineer Training –

  • Basic understanding of cloud, databases and data analysis

Cloud Data Engineer Certification: We will provide you with a certification after the completion of the course, which will be well recognized by the IT companies all over the world.

Excellent Trainers: We Train IAM provide the very best training and has an exceptional set of trainers who have got an experience of 10+ years as well as certified in Cloud Data Engineer Training. Our training professionals have practical knowledge and guide our students in both classroom or online sessions.

Study Material: Apart from the training session We Train IAM provides you with few value added bonuses including PPTs, Study Material, Tutorial Videos among others and you will have a lifetime access to these perks.

Job Assistance: We will always be there for you even after the completion of the course. We will assist our students and would help them in getting a job in a well reputed company in SDS related field. *
*T&C Applied

Why Take Cloud Data Engineer Training from Us?

We are one of the best in the market. With us you will learn all the basic as well as the advance concepts of Cloud Data Engineer in and out.
We just don’t teach you the technology rather we make you understand with real-time illustrations, the sessions we conduct are informative and interactive.
If the participants fail to attend any of the sessions due to some issues, we will give assurance for backup sessions. The timings will be set according to the candidate’s feasibility.
Our trainers are working professionals in the same field and will solve all your queries till you are fully satisfied.
We will discuss regarding the interview questions which will help you out in cracking the interviews and would also provide you with job assistance. Our Consultants would help you in preparing the resume and certifications.
We Train IAM will be available for you 24×7 and will solve any issues regarding the training, timings, trainer or server. We are ready to solve any issues with in no time.

25 Hrs



Training Cost


Happy Customers



Classroom Training

Attend the Cloud Data Engineer training at the locations near you in India at New Delhi, Bangalore/Bengaluru, Mumbai, Chennai, Hyderabad, and Pune.

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Live Online Training

Attend the Cloud Data Engineer online training sessions at the comfort of your couch. Attend sessions from anywhere in the world from an expert instructor at cheaper costs.

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Self Paced Learning

You get access to high-quality Cloud Data Engineer self-paced learning kit designed by industry experts which includes PPTs, PDFs, Video Lectures, etc.

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Course Curriculum

The Data Engineer training and certification course provides in-depth understanding of:

  • Creating and maintaining databases and data structures
  • Designing effective data processing systems
  • Performing data analysis and enabling machine learning
  • Devising business processes for optimization and analysis
  • Designing models to induce reliability
  • Creating data visualizations and policy advocacy
  • Designing compliance and data security
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