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Ithaca empowers young people to explore the future and supports the next generation to take on responsibility in this fast-evolving world.

We guide students through real-world projects where they learn by building, testing, collaborating, and presenting. They can discover their strengths, interests, and a direction that is truly their own.

We use Project-Based Learning (PBL) to connect learning with real-world problems and challenges, and to develop practical skills that traditional academics alone cannot fully cover.

Students learn how to use AI responsibly, cite properly, and build work that can be explained and defended through transparent review and public showcase formats.

Ithaca offers a long-term learning pathway, progressing from foundational and tool literacy to advanced engineering and AI projects. Students build real systems through design, testing, iteration, and presentation, preparing them for University-level challenges, competitions, and future academic pathways.
Maker → Rocket Lab → Engineering Systems → Drone Lab → EV Challenge / AI Camp

We teach through a studio-style, project-based model where students learn by building. Each cohort works in small teams with clear weekly milestones, structured mentoring, and frequent technical reviews. Our consistent workflow—define the problem, design, build, test, iterate, and present—helps students develop not only hands-on competence, but also the ability to document decisions and communicate results with clarity.

We hold a high bar for safety, academic honesty, and responsible technology use. Students are taught to cite sources properly, document AI-assisted work transparently, and maintain design logs that can be reviewed through demonstrations and Q&A. In the workshop, we enforce risk-tiered tool training and supervision, allowing students to build ambitious projects while learning professional standards and safe practices.
We use DECAB to set clear learning targets, differentiate instruction, and ensure students develop balanced capability: Technical Depth, Applied Reasoning, and Real-World Execution.


Students graduate with tangible artifacts, including prototype demos, project reports, and presentation materials that can be showcased at school, in competitions, and for applications.

From building and testing to iteration, students develop the habit of reasoning with structure, constraints, and real-world tradeoffs.

Students learn to use AI tools effectively and ethically, with proper citation, process documentation, and defensible decision-making.

Teams practice problem definition, user understanding, and basic business logic: learning how value is created and communicated.

Through team roles and real deadlines, students build collaboration habits that traditional classroom settings often cannot replicate.

Students present clearly under time pressure, handle questions, and learn how to tell a coherent story from problem to solution.
Students from the Ithaca EV project team visited Honda’s production line to learn about the role of artificial intelligence in the car manufacturing process at Honda Canada.
Students in the EV program gained hands-on experience and working in the workshop
Students interviewed Dr. Peter Teertstra, a professor in the Faculty of Engineering at the University of Waterloo.
Dr. Peter Teertstra, Professor at the Faculty of Engineering, University of Waterloo, and Director of the Sedra Student Design Centre, was leading the Ithaca students on a tour of the Student Design Centre.

Founder & Principal
Mr. Joshua Wang was an editorial writer of leading business media, adjunct professor at universities.

Dean of Education & Technology
Focusing on AI and Engineering Education for Youth

Mentor of Business Module
Ms. Kristen Perry is a founder, educator, and investor who focuses on supporting entrepreneurs looking to tackle complex global challenges.

EV Program Lead & Coach
Race Driver
2025 Pirelli GT4 Champion
Our teaching team blends classroom expertise with hands-on engineering practice. Instructors guide students through core concepts, workshop safety, and disciplined project execution—helping them build confidence, troubleshoot effectively, and develop strong learning habits through consistent feedback and coaching.
We invite professionals from engineering, AI, and related industries to mentor, review student work, and share real-world perspectives. Through guest sessions, portfolio reviews, and community connections, students learn what high standards look like and how to effectively communicate their work to technical and non-technical audiences.
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