Effective MLOps - Model Development

In this course, participants learn about principled ML workflows for model development and experience working with W&B tools. In order to become certified, participants are required to complete a project showing their hands-on experience with the demonstrated MLOps tools and techniques. - Lesson 1 - Building an End-To-End Prototype (1.5 hrs) - Lesson 2 - Hyperparameter Optimization and Collaborative Model Training (1. 5hrs) - Lesson 3 - Model Evaluation (1.5 hrs) Course graduate have learned the following skills: - Accelerate and scale your model development via principled ML workflows - Never lose track of machine learning work with experiment management - Improve productivity with automation via hyperparameter sweeps - Establish best practices for collaboration - Ensure reproducibility and enterprise-level governance through data and model lineage tracking