DeepNetSchool programmes are designed as sequential learning paths within Semester S1. Each course includes defined module milestones, PyTorch laboratory work, instructor feedback sessions, and completion credentials that document structured coursework participation. Pricing reflects instructional hours, faculty time, and learning platform access — not employment guarantees or professional licensure.
Neural Network Foundations
12 weeks · C$1,850 – C$2,190 · Live online or Victoria hybrid
Build intuition for perceptrons, activation functions, loss functions, backpropagation, and gradient descent. Laboratory sessions introduce PyTorch tensor operations, forward passes, and introductory model training. Prerequisites: Python fundamentals and basic linear algebra. Ideal entry point for developers and analysts new to deep learning engineering.
PyTorch Engineering Laboratory
8 weeks · C$1,720 – C$2,050 · Live online or Victoria hybrid
Deepen practical engineering skills with DataLoader pipelines, custom datasets, training loops, optimisers, learning rate scheduling, and GPU utilisation. Students implement reproducible experiment tracking and model checkpointing. Recommended after DNS-101 or equivalent experience with multilayer perceptrons.
CNNs & Computer Vision
10 weeks · C$2,120 – C$2,540 · Live online or Victoria hybrid
Study convolutional neural network architectures, pooling layers, transfer learning, and image classification pipelines. Portfolio projects include object detection fundamentals and data augmentation strategies. Covers industry-standard vision workflows used in Canadian technology and research sectors.
Transformers & Sequence Models
10 weeks · C$2,280 – C$2,690 · Live online
Progress from recurrent networks and LSTM architectures to self-attention mechanisms and transformer fundamentals. Modules cover positional encoding, encoder-decoder structures, and introductory natural language processing applications. Requires completion of DNS-201 or demonstrated PyTorch proficiency.
Generative AI Foundations
8 weeks · C$2,150 – C$2,580 · Live online
Explore variational autoencoders, diffusion model concepts, and large language model fundamentals from an engineering perspective. Emphasis on responsible AI practices, prompt engineering literacy, and human verification of AI-assisted outputs. Not a marketing or content automation consultancy — instructional focus remains on model understanding.
AI Engineering Capstone
8 weeks · C$2,450 – C$2,920 · Victoria or live online
Integrate prior programme learning into an end-to-end capstone project with model evaluation, documentation standards, and presentation coaching. Completion credential issued upon satisfactory participation in structured milestones. Capstone work demonstrates applied deep learning skills — not employment placement or professional certification.
All programmes include access to learning management resources, instructor office hours, and cohort discussion channels. Semester registration opens through our contact form — select "Semester registration" or "Programme enrolment enquiry" when applying.