LDA-101 — Where clarity begins
Perceptrons, activation functions, backpropagation by hand, then PyTorch. You build a three-layer classifier from scratch before touching torchvision. Weekly quizzes verify conceptual grasp, not memorisation.
Mastery Tracks
Six progressive LDA programmes designed for practitioners who want depth, not buzzwords. Each track includes live instruction, lab access, peer review, and a assessed capstone.
LDA programme catalogue
Tuition ranges reflect payment plan options and early-enrolment discounts available before each cohort start. All fees are in Canadian dollars and include lab compute allocation unless noted.
| Code | Track | Duration | Tuition (C$) | Prerequisite |
|---|---|---|---|---|
| LDA-101 | Neural Foundations & Tensor Fluency | 8 weeks | 1,890 – 2,190 | Python basics |
| LDA-201 | Convolutional Vision Systems | 10 weeks | 2,290 – 2,690 | LDA-101 or placement |
| LDA-301 | Sequence Models & Attention | 10 weeks | 2,490 – 2,890 | LDA-201 or placement |
| LDA-401 | Large Language Model Engineering | 12 weeks | 3,190 – 3,690 | LDA-301 or placement |
| LDA-501 | Generative Media & Diffusion | 10 weeks | 2,890 – 3,290 | LDA-301 or placement |
| LDA-601 | Production MLOps Capstone | 12 weeks | 3,490 – 3,990 | LDA-401 or LDA-501 |
Tracks may be taken individually or as a continuous pathway. Learners who complete LDA-101 through LDA-601 earn the LearnDeepAI Practitioner Certificate — a credential documenting 62 weeks of structured instruction and capstone delivery. This is a private training certificate, not a government-regulated qualification.
Track highlights
LDA-401 — LLM engineering depth
Tokenisers, positional encodings, KV-cache optimisation, LoRA fine-tuning, and evaluation with HELM-style benchmarks. Capstone: deploy a domain-specific chat assistant with RAG and guardrails.
Enrolment & scheduling
Open cohorts start in September, January, and May. Evening and weekend sections accommodate working professionals. Each section caps at sixteen learners. Waitlists open six weeks before start dates.
Payment plans split tuition into three monthly instalments at no additional cost. A C$350 deposit secures your seat and is applied to the first instalment. Withdrawal policies are outlined in our terms of service — full refunds are available up to fourteen days before the cohort start date.
Not sure which track fits? Book a complimentary pathway review through our contact form. Bring your résumé and any prior project links. Instructors recommend an entry point based on demonstrated skills, not credentials alone.
Each LDA track includes weekly live cohort sessions, self-paced unit readings, PyTorch lab exercises, instructor feedback on assignments, and a module milestone assessment. Generative AI content in LDA-501 covers diffusion model fundamentals, prompt engineering for ChatGPT and Claude, and responsible deployment guardrails. Computer vision modules in LDA-201 teach convolutional neural networks, transfer learning, and evaluation metrics for imbalanced datasets.
Education disclaimer: LDA programmes are vocational training courses. They do not constitute university credit, professional engineering licensure, or guaranteed job placement. Syllabus content evolves with the field; specific tools and library versions may change between cohorts.