Elise Tremblay
Front-end lead
Former senior engineer at Shopify. Specializes in React performance and design-system architecture. She has mentored over 200 course graduates into their first developer roles.
Enrolment open — cohort 7
The course that turns ambition into digital fluency
Twelve weeks of intensive, mentor-led training designed for people who want to build real products — not just watch tutorials. Based in Laval, delivered everywhere.
Claim your seat now
What you will learn
Course tracks built around employer demand
Every course track is structured around a capstone project you can show to hiring managers on day one. No filler lectures, no busywork — only the skills that move the needle.
Master semantic HTML, advanced CSS layout systems, and modern JavaScript including React. You will ship a production-ready single-page application by week ten.
- Component architecture and state management
- Accessibility auditing with axe and Lighthouse
- Performance budgets and lazy-loading strategies
- Git-based collaboration workflows
Build robust APIs with Node.js and Python, manage relational and document databases, and deploy containers to cloud infrastructure. Your capstone: a multi-tenant SaaS back-end.
- RESTful and GraphQL API design patterns
- PostgreSQL schema design and query optimization
- Docker, CI/CD pipelines, and AWS fundamentals
- Authentication flows with OAuth 2.0 and JWT
Turn raw data into actionable dashboards using Python, SQL, and modern BI tools. Ideal for career switchers from finance, marketing, or operations backgrounds.
- Pandas, NumPy, and Jupyter workflow
- Statistical thinking for business decisions
- Tableau and Power BI dashboard creation
- ETL pipelines and data warehousing basics
Learn user research, interaction design, and high-fidelity prototyping in Figma. You will conduct real usability tests and iterate on a product concept from brief to clickable prototype.
- Jobs-to-be-done and user-interview techniques
- Information architecture and card sorting
- Design-system creation and token management
- Handoff documentation for engineering teams
Acquire customers through SEO, paid media, email automation, and conversion-rate optimization. This course track is project-heavy: you will run a live campaign with a real budget.
- Keyword research and on-page SEO audits
- Google Ads and Meta Ads campaign management
- Marketing analytics with GA4 and Looker Studio
- A/B testing frameworks and statistical significance
Understand supervised and unsupervised learning, natural-language processing, and responsible AI principles. Capstone: deploy a trained model behind a simple API endpoint.
- Scikit-learn, TensorFlow, and model evaluation
- Feature engineering and data preprocessing
- Prompt engineering for large language models
- Ethics, bias detection, and fairness metrics
Who teaches
Mentors who still ship code every week
We only hire practitioners. Every mentor on our roster maintains active client work or open-source contributions alongside their teaching hours.
David Osei
Back-end engineering lead
Twelve years building distributed systems for fintech startups. David brings real incident-response stories into every lecture and insists students deploy to production from week one.
Sofia Rinaldi
Data analytics lead
Previously a data scientist at a major Canadian bank, Sofia translates complex statistical concepts into plain language. Her course modules consistently receive the highest learner satisfaction scores.
How it works
From application to career launch in five stages
Our course model is designed to compress months of self-study into a structured, accountable twelve-week sprint. Here is what that journey looks like.
01
Apply and interview
Submit a short application describing your goals. We schedule a 20-minute video call to assess fit and recommend the right course track for your background.
02
Pre-work module
Two weeks before cohort start, you receive a self-paced primer covering terminal basics, version control, and the tools specific to your track. This levels the playing field.
03
Intensive phase
Twelve weeks of live sessions, pair programming, and weekly sprints. Each Friday you demo progress to mentors and peers — accountability built into the calendar.
04
Capstone and portfolio
Weeks eleven and twelve focus on polishing your capstone project, writing case studies, and recording a two-minute demo video for your portfolio site.
05
Career support
After graduation you get six months of career coaching: résumé reviews, mock interviews, and direct introductions to our network of 38 hiring partners across Canada.
Common questions
What prospective learners ask us most
Not for most tracks. The front-end, UX design, digital marketing, and data analytics courses start from fundamentals. The back-end and AI tracks assume basic comfort with at least one programming language — our admissions interview helps determine readiness.
Plan for roughly 30 to 35 hours per week. That includes 15 hours of scheduled live sessions and the remainder in project work, reading, and peer review. Some learners manage this alongside part-time employment, but full-time commitment yields better outcomes.
Both. Our Laval campus hosts in-person cohorts every quarter, and we run a fully remote cohort on a parallel schedule. Remote learners join the same live sessions via video and have access to identical mentor office hours.
Tuition covers all course materials, mentor access, career coaching for six months post-graduation, a professional portfolio review, and lifetime access to our alumni Slack community. There are no hidden lab fees or software licence costs.
Yes. We offer a three-instalment plan at zero interest and partner with a Canadian financing provider for extended payment terms up to twelve months. Details are shared after your admissions interview.
Get in touch
Ready to invest twelve weeks in your future?
Fill out the form and a course advisor will reply within one business day. No sales pressure — just honest guidance on which track fits your goals.
847 Samuel Rest, H7A 0A1 Laval, Quebec, Canada