Module 01 — 2026
Structured neural network and deep learning courses for Canadian learners — practical PyTorch labs, honest prerequisites, instructor-led cohorts from foundations to advanced architectures.
"Every learner deserves a syllabus that treats artificial neural networks as engineering discipline — not hype, but structured skill built layer by layer."
NeuralAcademy is a vocational training provider at 181 Bay Street in Toronto. We teach multilayer perceptrons, CNNs, RNNs, transformer fundamentals, and PyTorch model training through instructor-led cohorts.
When we reference neural, we mean computational models in machine learning — not neuroscience therapy or brain training. We are not an AI consulting agency, web studio, or IT outsourcing firm.
Build intuition for perceptrons, activation functions, and backpropagation.
View module →Implement CNNs, RNNs, and transformers in PyTorch with portfolio projects.
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Lead Instructor — Deep Learning
Twelve years in CNNs and computer vision. Designs PyTorch lab sequences for Canadian cohorts.
Instructor — Transformers
Specialises in attention mechanisms, LLM fundamentals, and NLP applications.
No. We teach artificial neural networks and deep learning for technology learners.
Python fundamentals and basic linear algebra, stated honestly before enrolment.
No. Certificates reflect course participation — not job placement.
Primary stack is PyTorch with selective TensorFlow modules in advanced courses.
Join a cohort at Toronto Bay Street or enrol in live online sessions.
Explore the academy catalogueNeuralAcademy provides vocational training in artificial neural networks and deep learning. Completion certificates reflect course participation — not degrees or guaranteed employment. We are not an AI consulting agency.