Implement LLMOps in Azure Databricks

Module
8 Units

Intermediate

Data Engineer

Azure Databricks

Streamline the implementation of Large Language Models (LLMs) with LLMOps (LLM Operations) in Azure Databricks. Learn how to deploy and manage LLMs throughout their lifecycle using Azure Databricks.

Learning objectives

In this module, you learn how to:

Describe the LLM lifecycle overview.
Identify the model deployment option that best fits your needs.
Use MLflow and Unity Catalog to implement LLMops.

Prerequisites

Before starting this module, you should be familiar with Azure Databricks. Consider completing Explore Azure Databricks before starting this module.

Introduction min
Transition from traditional MLOps to LLMOps min
Understand model deployments min
Describe MLflow deployment capabilities min
Use Unity Catalog to manage models min
Exercise - Implement LLMOps min
Module assessment min
Summary min