

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.
Parlez à un conseiller
Parlez à un conseiller
Duration
Duration
Duration
Learning Methodologies
Self paced - Mentor guided
Online - Instructor Led
Learning Methodologies
Self paced - Mentor guided
Online - Instructor Led
Learning Methodology
Self paced - Mentor guided
Online - Instructor Led
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.
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
Advanced Techniques
Model Deployment
Model Training and Optimization
Tensor Manipulation
Model Implementation
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
Fall
Session d'automne
Oct 1, 2025
Register Before
Sep 3, 2025
Fall
Session d'automne
Oct 1, 2025
Register Before
Sep 3, 2025
Winter
Session d'hiver
Oct 8, 2025
Register Before
Sep 10, 2025
Winter
Session d'hiver
Oct 8, 2025
Register Before
Sep 10, 2025
Summer
Session d'été
No date
Register Before
Summer
Session d'été
No date
Register Before
Contactez-nous
Contactez-nous
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Stand alone Certification
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Certification
S'inscrire
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Rencontrez-nous
Conseils 1:1
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Stand alone Certification
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Contactez-nous
Contactez-nous
Questions Fréquemment Posées
Questions Fréquemment Posées
FAQs
FAQs
What are the prerequisites for Data Engineering?
What will I learn in the AWS Data Engineer course?
Comment le programme est-il structuré ?
Quelles méthodes d'enseignements sont utilisées ?
Quelles carrières puis-je envisager après avoir terminé ce programme ?
Puis-je étudier à temps partiel ou en ligne ?
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 ?
Comment le programme est-il structuré ?
Comment le contenu du programme est-il structuré ?
Quelles méthodes d'enseignements sont utilisées ?
Quels sont les critères d'admission pour ce programme ?
Quelles carrières puis-je envisager après avoir terminé ce programme ?
Quels parcours professionnels puis-je envisager après avoir terminé ces programmes ?
Puis-je étudier à temps partiel ou en ligne ?
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
+1 514 405 6874


Collège des technologies de l’information de Montréal
200 - 1255 Boulevard Robert-Bourassa
Montréal, Québec H3B 3B2
+1 514 405 6874