FAQ
Frequently asked questions
Quick answers about prerequisites, delivery formats, certificates, and what neural means at NeuralMindLab.
Quick answers about prerequisites, delivery formats, certificates, and what neural means at NeuralMindLab.
No. NeuralMindLab 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 421 Notre-Dame Street East, Sherbrooke.
No. We are a registered vocational training provider offering structured neural network and deep learning courses. We do not provide AI consulting, web design, marketing services, or general IT outsourcing.
Python fundamentals and basic linear algebra for most programmes. We state honest prerequisites before enrolment and offer bench advisory sessions for career changers assessing readiness for PyTorch labs and transformer modules.
No. Completion certificates reflect course participation and milestone achievement — not employment placement, salary increases, or professional licensure. Outcomes depend on your background, practice time, and market conditions.
It attests to participation in structured neural network training at NeuralMindLab — not university degrees, third-party credential recognition, or guaranteed employment outcomes.
Refund terms are stated in your enrolment agreement. Generally, full refunds are available within fourteen days of purchase if no live cohort sessions have commenced. Partial refunds may apply after session start — contact [email protected] for specific cases.
We offer live online cohorts, hybrid Sherbrooke bench sessions at our Notre-Dame corridor campus, and self-paced lab access. Schedule details are confirmed at enrolment.
Live cohorts range from twelve to twenty-four learners to ensure instructor feedback on neural network labs, PyTorch exercises, and capstone projects.
Learners enrolled in hybrid programmes may attend scheduled Sherbrooke bench sessions while participating in live online theory modules. Delivery format changes mid-cohort require coordinator approval and depend on seat availability.
PyTorch is our primary framework with selective TensorFlow modules in advanced architecture courses for professional upskilling in deep learning engineering.
A modern laptop with Python 3.10 or later, stable internet connection, webcam and microphone for live bench sessions, and at least sixteen gigabytes of RAM recommended for PyTorch lab work. Setup guides are provided before cohort start.
Selected programmes offer instalment options detailed at enrolment. Full payment terms, taxes, and refund conditions are stated in your enrolment agreement before purchase confirmation.
We collect personal information with meaningful consent for course delivery. Contact forms require explicit consent via checkbox — never pre-checked. See our Privacy Policy or contact [email protected] for access requests.
Course exercises may use AI-assisted coding tools where permitted by module guidelines. All submitted work must include human verification and disclosure of AI assistance. Misrepresentation may result in milestone rejection per our Terms of Use.
Our bench advisors are available to discuss programme fit, prerequisites, and delivery options.
Contact the labNeuralMindLab delivers vocational training in artificial neural networks and deep learning. Certificates confirm course participation — not degrees or guaranteed employment. When we say neural, we mean computational models — not neuroscience therapy. We are not an AI consulting agency, web studio, or IT outsourcing firm.