Courses
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CI/CD for Machine Learning (GitOps)
5.0 average rating (10 reviews)Streamline your ML workflows and save valuable time by automating your pipelines and deploying models with confidence. Learn how to use GitHub Actions and integrate W&B experiment tracking in this practical, hands-on learning experience.
Free
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W&B 201: Registry
This compact course, led by ML Success Engineer Ken Lee, dives into advanced model management utilizing Weights and Biases for logging, registering, and managing ML models.
Free
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효율적인 MLOps: 모델 개발
저희의 새로운 코스인 “효과적인 MLOps: 모델 개발"를 통해 기계학습의 미래로 나아가보세요. 이 포괄적인 프로그램으로 ML 모델에 생명을 불어넣고, 성능을 최적화하고, 프라임타임에 맞추어 대비하는 방법을 배워보세요.
Free
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効果的なMLOps: モデル開発
Learn how to accelerate and scale your model development, improve your productivity, ensure reproducibility and model lineage tracking, and above all else, train better models faster.
Free
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W&B 101
5.0 average rating (12 reviews)This course is a gentle introduction to Weights & Biases with a focus on experiment tracking. Learn to track, visualize, and optimize your ML experiments, streamline collaboration with your team, and make your projects efficient and reproducible.
Free