YoVDO

Productionizing ML Models Using MLflow Model Serving

Offered By: Databricks via YouTube

Tags

MLFlow Courses Machine Learning Courses

Course Description

Overview

Explore the process of productionizing machine learning models using MLflow Model Serving in this 27-minute video from Databricks. Learn how to ensure model integrity, efficiently replicate runtime environments across servers, and track model creation. Discover the benefits of MLflow Model Serving for cost-effective, one-click deployment of models for real-time inferences. Cover key topics including deployment, consumption, and monitoring. Witness demonstrations of different version deployments, validation techniques, and connecting Power BI to generate prediction reports. Gain insights into managing MLflow serving, including access rights and monitoring capabilities. Understand the MLflow architecture, different model flavors, and strategies for improving accuracy in managed server models.

Syllabus

Introduction
Overview
About Me
Agenda
MLflow
MLflow Architecture
MLflow Model Serving
Different Flavors of Model
Demo
Serving
Improving Accuracy
Managed Server Models


Taught by

Databricks

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent