FAQ

Clear answers about access, certificates, refunds, prerequisites, and learning paths.

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How long do I have access?
You get ongoing access, including content updates as the field evolves. If a module is replaced, the newest version becomes available automatically.
Do you provide certificates?
Yes. After you complete final assessments for a course, you can download a completion certificate. Keep your name consistent in your profile so the certificate renders correctly.
Are there prerequisites?
Start with Foundations if you’re new. Each advanced course lists precise prerequisites (math, Python, or prior modules) on its details page so you can self-check before enrolling.
Can I get a refund?
Refunds are available under our policy when requested within the eligible period and if completion thresholds are not exceeded. Contact support with your purchase email and approximate order date for a quick review.
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How do updates work?
When we revise lessons or add new modules, they appear automatically in your dashboard. We also include “what changed” notes so returning learners can jump straight to updates.
Do the courses include projects?
Yes. Most tracks include guided projects, datasets, and evaluation rubrics. You’ll also learn how to present results: metrics, ablations, and practical error analysis.
What if I get stuck?
Use the “Ask Hint” modal for search terms and a suggested next step. If you’re blocked by setup issues (CUDA, drivers, environment), open the Support modal and we’ll help triage quickly.
Do you cover MLOps and deployment?
Yes. Relevant modules cover experiment tracking, reproducibility, packaging, inference optimization, and monitoring. We focus on practical patterns you can apply to real systems.

Need a fast pointer?

Open the hint, or contact support with your question and course name.

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Where to look next (search terms + workflow)
Use the Catalog search for tags like transformer or mlops. Add items to Followed to build a learning path.
Keyword cloud: freshpath.click transformer diffusion GAN embeddings Adam SGD CUDA TPU.
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