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collection / 4 resources
AILAB Internship Roadmap (Summer 2026 Batch)
The official student-curated roadmap to clear the AILAB screening, interview, and project delivery stages. Authored by alumni currently in industry.
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An open index of UFAZ
Things
Worth
Knowing.
Resources, notes and hard-won advice collected by students. No feeds to keep up with. Just useful things, in one place.
Browse by:
01 / The index
Recently shared
8 of 8 entriesTags
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docs / intermediate
AILAB Track 4: Production ML Serving with FastAPI & Docker
Packaging ML models into low-latency async REST microservices, writing Pydantic validation schemas, and containerizing with multi-stage Dockerfiles.
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course / advanced
AILAB Track 3: Deep Learning with PyTorch & Modern CV/NLP
Writing clean PyTorch training loops, datasets, dataloaders, and fine-tuning Hugging Face transformers and torchvision vision models.
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docs / intermediate
AILAB Track 2: Classical ML & Scikit-Learn Pipeline Mastery
End-to-end practical guide to feature encoding, cross-validation, hyperparameter tuning, and decision trees/ensembles before touching neural nets.
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book / intermediate
AILAB Track 1: Linear Algebra & Matrix Calculus for ML
The core mathematical foundations required to understand gradient descent, backprop, eigenvalues, and SVD as taught in Stanford CS229 and UFAZ maths.
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collection / 2 resources
First semester data science path
A short sequence for students who want to move from Python basics into SQL-backed project work.
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article / 1 min read
How to prepare for a UFAZ data internship
How to prepare for a UFAZ data internship Start with one clean project, one SQL-heavy analysis, and one notebook that explains every assumption. Recruiters usually care less about the model name and more about whether yo
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course / intermediate
CS50 SQL notes for database week
A clean companion for relational modeling, joins, indexes, and the parts of SQL that usually show up in project work.
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