Courses
-
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
-
Pre-order available now!
Training and Fine-tuning Large Language Models (LLMs)
Learn the power of LLMs with our comprehensive course. Explore their architecture, training techniques, and fine-tuning methods. Gain hands-on experience with practical recipes from Boris Dayma and learn cutting-edge techniques like LoRA and RLHF.
Free
-
Pre-order available now!
Building LLM-Powered Apps
Learn how to build LLM-powered applications using LLM APIs, Langchain and W&B Prompts. This course will guide you through the entire process of designing, experimenting, evaluating, deploying, and monitoring LLM-based apps.
Free
-
W&B 101
This course is a gentle introduction to W&B with a focus on experiment tracking. Learn to track, visualize, and optimize your ML experiments, streamline collaboration with your team, and make your projects more efficient and reproducible.
Free
-
CI/CD for Machine Learning (GitOps)
5.0 average rating (2 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
-
Effective MLOps: Model Development
5.0 average rating (9 reviews)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