Frequently Asked Questions

Learning & pedagogy

Are LearnDeepAI courses about neuroscience or brain wellness?

No. LearnDeepAI teaches deep learning and generative AI for technology professionals. "Neural" refers to artificial neural networks in machine learning — not mental health, neuroplasticity or clinical neuroscience. Our programmes cover PyTorch, transformers, LLMs, and practical AI engineering from our London campus at 380 Wellington Street.

Is LearnDeepAI an AI consulting agency, SaaS product or IT outsourcing firm?

No. We are a vocational training platform offering structured deep learning and generative AI programmes from our London campus at 380 Wellington Street. We do not sell software, provide corporate AI implementation or general IT services.

How does LearnDeepAI structure instruction for complex topics?

Our curriculum design draws on cognitive load theory and spaced practice — established learning-science principles applied to technical AI education. Working memory handles only a few novel elements at once; we therefore introduce one architectural concept per session with a visual diagram before any implementation. Verbal and visual channels are engaged simultaneously: you see an attention heatmap while hearing the instructor explain query-key-value relationships.

Spaced retrieval appears in weekly quizzes that revisit earlier material in new contexts — LDA-101 tensor operations reappear as weight matrices in LDA-301. Interleaving mixes problem types within sessions rather than blocking by topic, which improves transfer to unfamiliar tasks. These are operational rules in our instructor handbook, not marketing buzzwords.

Do you guarantee machine learning jobs after completion?

No. LearnDeepAI does not guarantee employment, salary increases, or third-party credential recognition. Outcomes depend on your background, practice time, and market conditions. Our certificate of completion attests to training participation — not professional licensure or job placement.

What background do I need for LDA-101?

Six months of Python including functions, loops, and basic data structures. Comfort reading simple equations (summation, derivatives at a conceptual level). No prior machine learning required. We provide a free readiness checklist — email [email protected].

Can I skip tracks with prior experience?

Yes, via placement assessment. Submit code samples or a portfolio; instructors may waive prerequisites for LDA-101 through LDA-301. LDA-401 and LDA-601 require demonstrated competency in earlier material — transformer engineering cannot be shortcut safely.

How large are cohorts?

Open cohorts cap at sixteen learners. Corporate private cohorts range from six to twenty-four. We maintain a maximum 1:12 instructor-to-learner ratio during live lab blocks.

What is the weekly time commitment?

Standard tracks require approximately eight hours of live instruction plus four hours of self-directed prep per week. LDA-401 and LDA-601 may require additional capstone hours in the final three weeks.

Enrolment, tuition & facilities

What does tuition include?

All listed tuition covers live instruction, cloud lab compute allocation (up to 40 GPU-hours per track), course materials, peer review sessions, and capstone assessment. Textbooks are open-access or provided digitally. Tuition does not include travel, accommodation, or personal hardware beyond a laptop meeting our minimum specs (16 GB RAM, modern browser).

Are payment plans available?

Yes. Three equal monthly instalments at no additional cost. A C$350 deposit secures your seat. See our terms for withdrawal and refund policies.

Do you offer scholarships?

We allocate two partial scholarships per cohort for applicants demonstrating financial need and strong readiness scores. Applications open eight weeks before each start date. Email [email protected] with subject line "Scholarship application."

What facilities are available on campus?

Suite 302 includes sixteen learner stations with 27-inch displays, a presentation wall, two breakout tables, a kitchenette, and accessible washrooms. The building elevator serves the third floor. After-hours lab access is available to enrolled learners during active cohort weeks.

Is remote attendance possible?

Hybrid attendance is available for most evening sections — you may join via video for up to 30% of sessions. Capstone presentations and certain lab blocks require in-person attendance. Fully remote cohorts are planned for 2027; join our mailing list for announcements.

How do I register for a corporate intensive?

Contact Elena Vasquez via our form with subject "Corporate AI training." Include team size, preferred dates, and learning objectives. We respond with a discovery call invitation within three business days.