LLM Evaluation Using MLflow Course Overview

### LLM Evaluation using MLflow Course Overview

In our comprehensive LLM Evaluation using MLflow course, participants will delve into the core components and practical applications of MLflow over a span of three days (24 hours). The course is designed to teach you to deploy, trace, and evaluate Large Language Models (LLMs) effectively.

Learning objectives:
- Understand MLflow's core components and their scalability.
- Deploy and evaluate LLMs using MLflow.
- Gain expertise in model validation with tools like Giskard's and Trubrics' plugins.

The course includes hands-on labs using your OpenAI key, allowing you to apply these concepts in real-time. Basic knowledge of machine learning, Python, and model evaluation metrics is required to get the most out of this training.