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| Question | Answer | |----------|--------| | | Yes – you should be comfortable with Python, pandas, NumPy, and basic machine‑learning concepts (supervised vs. unsupervised). The course does not cover fundamentals from scratch. | | Will I get a certificate that employers recognize? | The badge is issued via the OpenBadge standard, which many HR systems can verify. While it isn’t a university degree, it demonstrates concrete, hands‑on competence. | | Can I download the video lectures? | Yes – each video can be exported as an MP4 from the OLH platform (the download button appears under the player). | | What if I run out of GPU quota on Colab? | The free tier provides ~12 hours of GPU per session, refreshed daily. If you need more, you can switch to Kaggle Kernels (also free) or apply for a short‑term Google Cloud trial. | | Is there a deadline to complete the course? | No. The course is evergreen; you may finish at your own pace. Badges are granted once all requirements are satisfied. | | Are there any hidden costs (e.g., data sets)? | All datasets used in the labs are hosted on public repositories (Kaggle, Hugging Face) and are free to download. | | Can I use the course material for teaching? | Absolutely – the CC‑BY‑4.0 license permits adaptation, provided you give appropriate credit to the original authors. | A soft-footed line of people emerged from the
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