Frequently Asked Questions
Practical answers about how FreshValley Atelier operates and what you can expect from our neural network coaching programs.
What prerequisites do I need?
For beginner tracks, comfort with Python and linear algebra fundamentals is enough. Intermediate and advanced tracks expect familiarity with PyTorch or JAX and experience training small models.
How much time should I budget weekly?
Most learners commit 6–8 hours per week: two live sessions plus structured self-practice. Executive briefings are lighter and focus on strategic comprehension.
Do I need a powerful GPU?
No. We provide guidance for CPU-first exploration and managed cloud credits for heavier experiments. Efficiency techniques and smaller baselines are emphasized.
What projects will I build?
Examples include a transformer text classifier, a diffusion-based image pipeline (conceptual, without hosted media), and a production-inclined RAG service with evaluation harnesses.
Do you offer certificates?
Yes. Upon successful completion and project review, we issue a signed digital certificate that outlines demonstrated competencies.
Can my company sponsor a private cohort?
We run private cohorts with customized case studies, governance tracks, and executive briefings tailored to your industry. Contact our concierge for scoping.
What is your refund policy?
We offer a 7-day grace period from the cohort’s start. Beyond that, partial credits may apply for documented circumstances. See Terms for details.
How is feedback delivered?
You receive annotated code reviews, rubric-based scores, and a short debrief highlighting trade-offs and next steps.
Is there ongoing support after I finish?
Graduates retain access to updated notes, recommended reading, and optional office hours for three months post-completion.