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Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026

Ref: RON568
10 people max.
From $1,155 HT / per person
Group rate: $2,888 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
1 day
Remote

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Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master BigQuery for analyzing petabytes of data in real time
  • Design scalable Dataflow pipelines for professional data engineering
  • Implement Dataproc and Pub/Sub for batch and streaming processing certification
  • Optimize data governance with Data Catalog and IAM in enterprise settings
  • Deploy secure ML solutions via Vertex AI for certifiable skills
  • Prepare for the Google Cloud Professional Data Engineer certification 2026

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Google Cloud Data Engineering: Preparation for Professional Data Engineer Certification (BigQuery, Dataflow, Dataproc, Vertex AI)

Dive into real enterprise cases with creation of Dataflow pipelines for massive ETL, BigQuery configuration for optimized queries on petabyte datasets, Dataproc deployment for scalable Spark/Hadoop, Pub/Sub integration for real-time streaming, governance via secure Data Catalog and IAM, practical exercises on Vertex AI for data MLOps, certification exam simulation with MCQ and deliverable red thread project, trainer feedback for immediate certifiable skills.

Evaluation method

  • Certification-aligned MCQ based on the Google Cloud Professional Data Engineer exam
  • Practical evaluation through data pipelines deployed on GCP
  • Project defense with expert trainer audit

Learning method

  • Courses led by an active Google Cloud certified trainer
  • Practical exercises on real GCP enterprise cases
  • Progressive red thread project for 2026 certification
  • Complete course materials and accessible GCP resources

Methods, materials and delivery

The Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026 program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026 program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026 program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

FAQ

Frequently asked questions

How much does the Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026 training cost?+
The individual price is $1,155, and the team / on-site price is $2,888 (USD). A detailed quote is sent within one business day.
How long is the Training Google Cloud Data Engineer - Professional Data Engineering Certification 2026 training?+
The training lasts 1 journée, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Advanced experience in SQL, Python, ETL, and Google Cloud Platform (GCP) with real data projects
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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