Frequently Asked Questions
Everything prospective students and corporate partners ask before entering the craft lab. Updated 1 July 2026.
Lab notes — essential clarifications
No. NeuralCraftLab teaches artificial neural networks and deep learning for technology learners. "Neural" refers to computational models in machine learning — not neuroplasticity coaching, cognitive brain games or clinical neurology. We are a vocational AI training provider at 715 King Street West, Toronto.
No. We are a registered vocational training provider offering structured neural network and deep learning courses through hands-on lab work. We do not provide AI consulting, web design, marketing services or general IT outsourcing.
Enrolment & prerequisites
You should be comfortable writing Python functions, working with lists and dictionaries, and using a terminal. Basic algebra (variables, functions, derivatives at a conceptual level) is helpful but we review essentials in week one. No prior machine learning experience is required. We provide a free self-assessment quiz on request — email [email protected].
Yes, with a placement assessment. Book a pathway advisory session and bring code samples or a portfolio. Instructors may waive prerequisites for NCL-001 through NCL-005 if you demonstrate competency. NCL-007 and NCL-009 always require demonstrated completion of earlier material or equivalent assessment — transformer craft cannot be shortcut safely.
Open cohorts cap at 16 students to maintain instructor attention during forge blocks. Corporate private cohorts may range from 6 to 24 depending on facility booking. We never exceed a 1:12 instructor-to-student ratio during hands-on lab time.
Tuition & policies
Tuition covers all scheduled lab hours, GPU workstation access during those hours, digital course materials, instructor feedback on assignments, one capstone review session, and a certificate of completion. It does not include personal laptops (recommended but not required — we provide workstations), cloud credits beyond lab allocation, textbooks, or third-party certification exams.
Full refund if you withdraw before the programme start date. After day one, refunds are prorated based on completed lab hours minus a $250 administrative fee. No refunds after the midpoint of any programme. Corporate contracts follow separately negotiated terms. See our Terms of Service for complete policy language.
Individual students may split tuition into two or three monthly instalments at no interest. The first payment is due at enrolment; remaining payments are auto-charged on the first of each month. Corporate clients receive NET-30 invoicing on approved credit.
Campus & capstone
Workstations are provided for all in-person lab sessions. We recommend bringing a laptop for note-taking and evening review — any machine that runs a modern browser suffices. For NCL-009 capstone work outside lab hours, a laptop with 16 GB RAM is advisable though cloud alternatives exist.
You design, train, and deploy an end-to-end model solving a real problem — past projects include transit delay prediction, medical image triage assistance, and document classification for legal firms. Capstone week culminates in a 15-minute presentation to instructors and peers, followed by written technical documentation. 94% of 2026 cohort members completed capstone on first attempt.
No. We are a private vocational training provider, not a college or university. Our programmes do not carry academic credit or professional engineering designation. We focus on practical craft skills valued by Toronto employers. Our certificate of completion documents programme name, dates, and hours — it is not a government-regulated credential.
Education disclaimer: FAQ answers are for general guidance. Programme details, pricing, and policies may change. Refer to signed enrolment agreements and our Terms of Service for binding terms.
Still have questions? Contact our team or call +1 (289) 555-4726.