Lilly Tech Systems
W&B Advanced
Go beyond experiment tracking. Master W&B Reports for team communication, Tables for data visualization, advanced Sweeps strategies, and Launch for scalable compute management.
Your Learning Path
This course assumes familiarity with W&B basics. Complete the W&B Basics course first if needed.
1. Introduction
Overview of advanced W&B features, when to use them, and how they fit into ML workflows.
2. Reports
Create interactive documents with live charts, comparisons, and markdown for team communication.
3. Tables
Log, query, and visualize tabular data. Compare predictions, analyze datasets, and debug models.
4. Sweeps Advanced
Multi-objective optimization, early termination, distributed sweeps, and custom sweep agents.
5. Launch
Manage compute resources, launch jobs to Kubernetes, AWS, or GCP, and build reproducible pipelines.
6. Best Practices
Enterprise patterns, team collaboration, CI/CD integration, and production ML workflows with W&B.
What You'll Learn
By the end of this course, you'll be able to:
Communicate Results
Build interactive Reports that combine live charts, tables, and narrative to share findings with stakeholders.
Debug Models
Use Tables to visualize predictions, compare model outputs, and identify failure patterns in your data.
Optimize at Scale
Run multi-objective sweeps with early termination across distributed compute infrastructure.
Manage Compute
Use Launch to submit training jobs to any cloud provider or on-prem cluster from a single interface.