Miaa625 Free -

| Resource | What It Provides | Link | |----------|-----------------|------| | Google Colab | GPU‑enabled notebooks (up to 12 h runtime) | https://colab.research.google.com | | PyTorch & TensorFlow | Core deep‑learning libraries (both installed in the notebooks) | https://pytorch.org, https://tensorflow.org | | Hugging Face Datasets & Models | Thousands of pre‑trained models, ready for fine‑tuning | https://huggingface.co | | OpenAI Gym | Standard RL environments | https://gym.openai.com | | FastAPI | Lightweight API framework for model serving | https://fastapi.tiangolo.com | | GitHub | Store your notebooks, version‑control, and share with peers | https://github.com | | Discord Community | Peer support, mentor office hours, project showcases | Invite link on the course homepage |

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| Tip | Why It Helps | |-----|--------------| | Start a personal Git repo early. Push each completed notebook; this builds a portfolio you can show to recruiters. | | Schedule regular “lab days.” Treat the 2‑hour lab as a meeting you cannot skip—consistency beats intensity. | | Pair‑program with a buddy. Find a study partner on the Discord channel; explaining concepts to someone else cements your own understanding. | | Document your experiments. Add markdown cells describing hyper‑parameter choices and observed metrics. This makes later review painless. | | Leverage the “premium support” only if stuck. Most hurdles are resolved quickly by the community; use paid help as a last resort. | | Create a capstone project (e.g., a small web app using a model you trained). It will be the most impressive artifact in your job search. | | Add the badge to LinkedIn & personal website. The OpenBadge includes a verifiable URL, which recruiters can click to confirm authenticity. | | Resource | What It Provides | Link