Weights & Biases 101

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.

0.5 Hour

Free

Your goals

Discover the essential features of Weights & Biases for experiment tracking, hyperparameter optimization, data visualization, and collaboration
Enhance your machine learning productivity and rapidly iterate on experiments to achieve better results
Learn how to integrate W&B with your Python training script

Curriculum

Introducing W&B
Instrumenting W&B in your code
Exploring W&B workspace
Comparing & analyzing experiments
Using W&B beyond experiment tracking
Logging your first run
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Reviews

Great first understanding of the product!

I'm new to W&B and already learnt a lot about how useful this tool is.

A superb, hands-on intro to W&B.

A well guided hands-on intro to W&B which gives a good idea of its experiment tracking capabilities.

Great Refresher.

Great refresher course for me since I have been away from WandB for several years.

Perfect entrypoint to W&B.

been using wandb for a long time now, and came across courses offered by W&B. This course seems like the perfect entry and glimpse of what W&B has to offer! and the best thing is, it's just around 10 minutes of content that you can start and finish anytime without any worries! PS: looking for a more detailed, more features covered, and a longer version of everything W&B course!

W&B Platform is really insightful.

It's amazing being led to this amazing platform where I can readily practice MLOps and LLMOps all from an amazing team. With just some simple steps one is presented with a vast range of toolkits that makes building Machine Learning products and LLM-powered products a presentable, explainable, and illustrative process/endeavour. W&B makes AI development especially Generative AI Development a communicable endeavor actually. I mean, it adds a great deal of white tints to our blackbox. Cheers! We're just getting started, and thus far I've been well-led.

Course instructor

Scott Condron

MLE Weights & Biases

Scott Condron is a Machine Learning Engineer at W&B and works on the Growth team. He has a background in using Machine Learning for Speech and Audio applications and previously worked as a Research Engineer at Speech Graphics developing audio-driven facial animation tools.

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