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Become a Google Cloud Data Engineer

Become a Google Cloud Data Engineer

Learn to master the fundamentals of databases,  GCP Data Warehousing, data pipleines, report to uncover insights, communicate critical findings, and create data-driven solutions through specialized blended learning.

Learn to master the fundamentals of databases,  GCP Data Warehousing, data pipleines, report to uncover insights, communicate critical findings, and create data-driven solutions through specialized blended learning.

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Google Cloud Data Engineering

Duration

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Duration

36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM

Skills Gained

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Skills Gained

Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging

Learning Methodology

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Learning Methodology

Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning

Aperçu du programme

Aperçu du programme

As a Google Cloud Data Engineer, you will leverage the power of Google Cloud Platform (GCP) to design, implement, and manage scalable and efficient data solutions. This program provides in-depth knowledge of GCP tools like BigQuery, Dataflow, Cloud Storage, and Pub/Sub, enabling you to handle data storage, transformation, and real-time processing seamlessly. You will gain practical expertise in building data lakes, creating data pipelines, and performing advanced analytics, ensuring the ability to manage large datasets effectively and derive actionable insights.

MCIT’s Google Cloud Data Engineer program is developed in collaboration with industry professionals to align with cutting-edge trends in cloud data engineering. The curriculum emphasizes hands-on, real-world applications of GCP data services, preparing you for roles where cloud solutions are essential for big data management and analysis. With personalized instruction and expert-led guidance, this program is ideal for those aspiring to excel in Google Cloud data engineering.

45 Hours

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Frais

Durée

Début

Invalid or no prop

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Tuition Fee

2500

Start Date

June 13, 2025

Duration

36 hrs

Avantages clés

Avantages clés

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Get trained by industry Experts

Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Official Certification curriculum

Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Tax Credit

Claim up to 25% of tuition fees and education tax credit from your taxes.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

Discount on Certification Voucher

Upto 50 percent discount voucher will be provided.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

24/7 Lab access

Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.

Plan de cours

Plan de cours

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Google Cloud Data Warehousing

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Google Cloud Data Pipelines & Orchestration

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GCP Data Engineering Project

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Google Cloud Data Warehousing

Google Cloud Data Pipelines & Orchestration

GCP Data Engineering Project

APTITUDES

APTITUDES

Run Metrics

Evaluate Data models

Key concepts and principles of machine learning.

Ability to preprocess, clean and transform data for machine.

Proficiency in programming languages.

Plein feu sur les enseignants

Plein feu sur les enseignants

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

L'éducation pratique en TI est le pont entre votre diplôme et votre carrière.

Critères d'admissibilité

Critères d'admissibilité

Applicants with Post-secondary studies in Business Management, Social Science or Information Technology, are a good match for this Program. 

To determine your eligibility, you need to meet with an advisor.

Possess an undergraduate degree or a high school diploma.

Prérequis

Statistics, Machine Learning and Python Programming are prerequisites for this certification course.

Prochaines sessions et horaire

Prochaines sessions et horaire

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Me rappeler

Session d'hiver

Oct 8, 2025

Register Before

Sep 10, 2025

Me rappeler

Session d'hiver

Oct 8, 2025

Register Before

Sep 10, 2025

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Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

Stand alone Certification

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Certification

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Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

Stand alone Certification

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Certification

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Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

AttractiveBundle price for three

Get Bundle pricing

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Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

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Conseils 1:1

Planifiez une rencontre avec nos conseillers et explorez toutes les options au CTIM.

Stand alone Certification

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Conseils 1:1

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Three Certifications
Bundle

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Bundle price for three

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FAQs

FAQs

What will I learn in the Google Cloud Platform (GCP) Data Engineer course?

What are the prerequisites for Data Engineering?

How is the program content structured?

What career paths can I pursue after completing this program?

Quelles méthodes d'enseignements sont utilisées ?

Can I study part-time or online?

Y a-t-il des prérequis pour s'inscrire à ces programmes ?

What are the prerequisites for Data Engineering?

Ces programmes conviennent-ils aux débutants ?

How is the program content structured?

Comment le contenu du programme est-il structuré ?

What career paths can I pursue after completing this program?

Quels sont les critères d'admission pour ce programme ?

Quelles méthodes d'enseignements sont utilisées ?

Quels parcours professionnels puis-je envisager après avoir terminé ces programmes ?

Can I study part-time or online?

Quelles méthodes d'enseignement sont utilisées dans vos programmes ?

Y a-t-il des occasions d'acquérir une expérience pratique ou des stages ?

Puis-je étudier à temps partiel ou en ligne ?

Que comprend le programme de test de logiciels ?

What will I learn in the Google Cloud Platform (GCP) Data Engineer course?

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Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 312 2383

[email protected]

montreal-college-of-information-technology-footer

Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 405 6874

[email protected]

montreal-college-of-information-technology-footer

Collège des technologies de l’information de Montréal

200 - 1255 Boulevard Robert-Bourassa

Montréal, Québec H3B 3B2

+1 514 405 6874

[email protected]