Model CI/CD Course - Automating Machine Learning Workflows and Model Lifecycle Management

Learn to implement continuous integration and continuous deployment practices specifically for machine learning models through this comprehensive course covering model registry fundamentals, automation workflows, and enterprise-level model management. Master the concepts of model versioning and tracking by exploring how to log models effectively and link them to centralized registries for better organization and governance. Dive deep into automation techniques using webhooks to create seamless workflows that trigger actions based on model events, including hands-on exercises for hosting webhook servers and implementing webhook-based automations within the Weights & Biases ecosystem. Explore advanced model deployment strategies through Launch functionality, working with a practical LLM case study that demonstrates fine-tuning processes, evaluation setup, and automated deployment pipelines. Gain expertise in designing robust automation patterns that streamline the entire model lifecycle from development to production, while understanding enterprise-grade features for model governance and management at scale.