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.
Talk to an Advisor
Talk to an Advisor
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM
Duration
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM
Duration
Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging
Skills Gained
Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging
Skills Gained
Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning
Learning Methodology
Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning
Learning Methodology
Program Overview
Program Overview
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.
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.
Key Benefits
Key Benefits
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.
Course Outline
Course Outline
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Google Cloud Data Warehousing
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Google Cloud Data Pipelines & Orchestration
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
GCP Data Engineering Project
Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.
Google Cloud Data Warehousing
Google Cloud Data Pipelines & Orchestration
GCP Data Engineering Project
Skills gained
Skills gained
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.
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.
Instructor Spotlight
Instructor Spotlight
Connect with our instructors at an event . Build your intelligent network .
Connect with our instructors at an event . Build your intelligent network .
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Zahid Hossain
EPM & Data Analytics Delivery Lead
A fleeting Industry expert with over a decade in Business Intelligence and Analytics spent primarily in Tableau BI applications, Microsoft Power BI, OAC, PBCS, Data management, OBIEE and Essbase mostly in the big four consulting firms. An MBA and IT graduate who combines business goals with technological prowess. Dispenses his passion for knowledge & learning through teaching Business Intelligence & Data methodologies to ardent aspirants.
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Zahid Hossain
EPM & Data Analytics Delivery Lead
A fleeting Industry expert with over a decade in Business Intelligence and Analytics spent primarily in Tableau BI applications, Microsoft Power BI, OAC, PBCS, Data management, OBIEE and Essbase mostly in the big four consulting firms. An MBA and IT graduate who combines business goals with technological prowess. Dispenses his passion for knowledge & learning through teaching Business Intelligence & Data methodologies to ardent aspirants.
Eligibility Criteria
Eligibility Criteria
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.
Prerequisites
Statistics, Machine Learning and Python Programming are prerequisites for this certification course.
Upcoming sessions & Schedule
Upcoming sessions
& Schedule
Take action
Take action
Get Certified
Get Certified
Related programs
Related programs
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?
What teaching methods are used in your programs?
Can I study part-time or online?
Are there any prerequisites for enrolling in these programs?
What are the prerequisites for Data Engineering?
Are these programs suitable for beginners?
How is the program content structured?
How is the program content structured?
What career paths can I pursue after completing this program?
What is the admission Criteria for this Program?
What teaching methods are used in your programs?
What career paths can I pursue after completing these programs?
Can I study part-time or online?
What teaching methods are used in your programs?
Are there opportunities for practical experience or internships?
Can I study part-time or online?
What does the software testing program entail?
What will I learn in the Google Cloud Platform (GCP) Data Engineer course?
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874