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Next Cohort: Sep 12-Dec 11

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Duration

6 months

Tuition

$6,500

  , ,

Sep 12-Dec 11

Commitment

Part-Time

Delivery

Classroom

Credential

Diploma

Year Founded

2013

Scholarships

yes

The Data Engineering Bootcamp is an intensive program designed to help technical professionals build the skills needed to design and manage modern data infrastructure. Ideal for advanced data analysts, data scientists, software engineers, and technically minded professionals, the program focuses on building scalable data pipelines and cloud-based data systems.

Through a hands-on, project-based curriculum, students learn how to collect, transform, store, and process large datasets using modern data engineering tools. Participants work with technologies such as Python, SQL, Docker, Airflow, dbt, and cloud data warehouses to build reliable data workflows and production-ready data platforms.

The program is offered in a hybrid format at Le Wagon’s Montréal campus or online, in a part-time format. By the end of the bootcamp, graduates will have developed practical projects demonstrating their ability to build and manage end-to-end data infrastructure.

What You’ll Learn

  • Build and orchestrate data pipelines using Python, SQL, and Apache Airflow.
  • Transform and model data using modern ELT workflows with dbt.
  • Work with cloud data warehouses such as Google BigQuery.
  • Containerize and deploy data workflows using Docker and Kubernetes.
  • Process and manage large datasets using distributed data tools.
  • Design and implement scalable data infrastructure projects using Terraform.

Ready to get started?

Next Cohort: Sep 12-Dec 11

By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.

Student Reviews (49)

Write a Review

Le Wagon

A fast-track into the Data Science and AI world

Riad

Montreal • March 20, 2026

Graduated From

Data Science & AI Bootcamp

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

Overall, this training was a truly great experience, both professionally and personally. From the very beginning, I felt that the program was thoughtfully designed and delivered with a clear objective: to build strong, solid foundations while ensuring ...

Overall, this training was a truly great experience, both professionally and personally. From the very beginning, I felt that the program was thoughtfully designed and delivered with a clear objective: to build strong, solid foundations while ensuring that the learning remains practical and applicable.

The teaching team is one of the strongest aspects of the training. The instructors are highly knowledgeable in their respective fields and demonstrate excellent pedagogy. Concepts are explained clearly, with a real effort to adapt to different learning styles and backgrounds. This made complex topics more accessible and helped create a supportive learning environment where questions and discussions were encouraged.

The curriculum itself is very well structured. Each module builds logically on the previous one, allowing us to progressively acquire solid technical and conceptual foundations. A major strength of the program is the strong emphasis on hands-on practice. Rather than focusing only on theory, the training constantly encourages learning by doing. Through exercises, projects, and real-world problem-solving, I was able to apply concepts directly, which greatly reinforced my understanding and confidence.

Beyond the academic content, the atmosphere on campus made a significant difference. The ambiance is warm, collaborative, and motivating. I genuinely felt like part of a community, almost like a family, where mutual support and shared goals created a very positive human experience. This environment made the learning journey even more engaging and enjoyable.For all these reasons, I would strongly recommend this training. If possible, I would especially encourage future participants to attend the program on campus, as it truly allows one to get the most out of both the educational and human aspects of the experience.

Le Wagon

Life-changing

Anonymous

Montreal • March 19, 2026

Graduated From

AI Software Development Bootcamp

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

I like the structure and being able to acess many tools in one place.
Short,fast, full, and career changing!
Everyone did their part in encouraging me to do my best and boost my morale in the hard parts of the bootcamp.I was giving the tool...

I like the structure and being able to acess many tools in one place.
Short,fast, full, and career changing!
Everyone did their part in encouraging me to do my best and boost my morale in the hard parts of the bootcamp.I was giving the tools I needed by the staff.

FAQ

  • Can I join without a technical background?

    AI Software & Data Analytics bootcamps: Yes! No technical background is required. Le Wagon admission team will look for motivation, curiosity, and teamwork. If that sounds like you, they’ll teach you the rest. Data Science & AI bootcamp: A foundational level of programming and math is required. You should know variables, loops, functions, and basic data structures, as well as math concepts like derivatives and linear equations. A preparatory work is provided before the bootcamp to help you get ready.

  • What language is the bootcamp taught in?

    All bootcamps in Canada are taught in English. Le Wagon also offers the AI Software bootcamp in French.

  • What career support do you offer?

    Career support starts at the beginning of the bootcamp and continues for life. It includes: a self-paced career program, help with CVs, LinkedIn, and interviews, 1:1 coaching, Networking events with hiring partners, and access to a global alumni network and job board.

  • What is Data Science / Data Analytics / AI Software, really?

    Data Science: Analyzing large datasets using code, math, and ML to drive decisions and build intelligent models. Data Analytics: Interpreting and visualizing data to extract insights using tools like SQL, Python, and BI dashboards. AI Software: Building intelligent applications that integrate AI models, using full-stack development and modern AI tools.

  • With AI evolving, is it still worth learning to code or analyze data?

    Yes, more than ever! AI can assist, but not replace, developers and analysts. Understanding code and data makes you more adaptable, valuable, and future-proof in a tech-driven world.

  • Do I need a laptop?

    Yes. You’ll need your own laptop: For the AI Software & Data Science bootcamp: macOS or Linux. If using Windows, we’ll help you install Linux on Day 1. For the Data Analytics bootcamp, any recent laptop, Mac or Windows, is good.

  • What is the format of the bootcamp?

    Le Wagon Canada offers full-time and part-time formats, allowing everyone to fit the bootcamp around their schedule. All bootcamps are offered in a hybrid format. Join in person on campus or live online. The course content and exercises are accessible at all times through our online learning platform. The live online sessions take place on a virtual campus, a 2D online space recreating our physical campus

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