Model CI/CD

Overcome model chaos, automate key workflows, ensure governance, and streamline the end-to-end model lifecycle. This course will provide you with the concepts, best practices, and tools to level up your model management and drive success.

2.5 Hours

Free

Your goals

Create an enterprise-level model management system
Automate workflows with Webhooks
Evaluate & improve models with metrics and evaluation techniques

Curriculum

Model management
Automations
LLM case study
Enterprise applications
Course project

Industry Leaders on Model Registry

Having, dashboards across the office where you can see how things are moving, see how the models converging both in test, but also whenever it's deployed in production and seeing the impact on the fleet and communicating that out to everybody else in the company and hearing all of our partner nerds who nerd on different things celebrate that success. I think it just really becomes an interesting virtuous cycle.

The W&B Model Registry simplifies our lives in so many ways. It brings less noise to the user experience, as we are now only seeing models that are production-ready. It stores all the production-level information we need.

We use the model registry as our source of truth. It’s a key component of our backend.

Using the W&B Model Registry for model promotion has been extremely useful. Having the full history of the model available also makes it very easy for other departments — like product management — to help manage the deployment process.

Hamel Husain

Founder Parlance Labs

Hamel is currently a founder at Parlance Labs, a research lab and consultancy focused on LLMs. Previously he was an entrepreneur in residence at fast.ai, where he built tools for data scientists and machine learning engineers. He also worked at Airbnb, DataRobot, and GitHub where he built a wide array of machine learning products and infrastructure. Hamel has contributed to data and infrastructure tools in open source such as Metaflow, Kubeflow, Jupyter, and Great Expectations. Hamel was also a consultant for over 10 years, and used data science to improve business outcomes in the restaurant, entertainment, telecommunications, and retail industries.

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Model CI/CD

Your goals

Curriculum

Hamel Husain

Effective MLOps: Model development

CI/CD for machine learning (GitOps)

Data validation in production ML pipelines

Machine learning for business decision optimization

Weights & Biases 201: Registry

Weights & Biases 101

The Platform

Article

Resources

Company

Use cases

Industries