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Become a Amazon Cloud Data Engineer

Become a Amazon Cloud Data Engineer

Learn to master the fundamentals of databases, AWS data warehousing, and data pipelines. Uncover insights, communicate critical findings, and build data-driven solutions through a specialized blended learning experience with real-time projects.

Learn to master the fundamentals of databases, AWS data warehousing, and data pipelines. Uncover insights, communicate critical findings, and build data-driven solutions through a specialized blended learning experience with real-time projects.

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Amazon 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 an AWS Data Engineer, you will harness the power of cloud computing to design, implement, and manage scalable and efficient data solutions on the AWS platform. This program provides a deep understanding of AWS tools such as Amazon Redshift, AWS Data Pipeline, and Amazon S3, enabling you to manage data storage, transformation, and processing efficiently. You will gain hands-on experience in building data lakes, data warehouses, and implementing ETL (Extract, Transform, Load) pipelines, ensuring your ability to handle large datasets and provide actionable insights.

MCIT’s AWS Data Engineer program is designed in collaboration with industry experts to keep the curriculum aligned with the latest advancements in cloud data engineering. The program emphasizes practical, real-world applications of AWS data services, preparing you for roles in industries where cloud solutions are critical to managing and analyzing big data. With expert-led instruction and small, personalized classes, this program is an ideal choice for those aspiring to build a career in AWS 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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AWS Data Warehousing

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AWS Data Pipelines & Data Services

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AWS Data Engineering Project

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AWS Data Warehousing

AWS Data Pipelines & Data Services

AWS Data Engineering Project

APTITUDES

APTITUDES

Advanced Techniques

Model Deployment

Model Training and Optimization

Tensor Manipulation

Model Implementation

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

To get started in Data Engineering, you need a solid understanding of SQL, Python, and Power BI for data manipulation and visualization. Familiarity with cloud platforms (AWS, Azure, GCP) and ETL processes is also beneficial for building and managing data pipelines.

Possess an undergraduate degree or a high school diploma.

Prérequis

There are no prerequisites for this 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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Stand alone Certification

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Certification

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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.

AttractiveBundle price for three

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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

Attractive
Bundle price for three

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FAQs

FAQs

What are the prerequisites for Data Engineering?

What will I learn in the AWS Data Engineer course?

How is the program content structured?

Quelles méthodes d'enseignements sont utilisées ?

What career paths can I pursue after completing this program?

Can I study part-time or online?

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

What will I learn in the AWS Data Engineer course?

Ces programmes conviennent-ils aux débutants ?

How is the program content structured?

Comment le contenu du programme est-il structuré ?

Quelles méthodes d'enseignements sont utilisées ?

Quels sont les critères d'admission pour ce programme ?

What career paths can I pursue after completing this program?

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 are the prerequisites for Data Engineering?

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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]