Tag: MLOps

Free Download Mlops: Exhaustive Guide + Aws, Gcp, Apple Cases
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.05 GB | Duration: 3h 36m
Learn to deploy ML solutions, Industry best practices and hacks to BOOST your career

Free Download MLOps Simplified
Last updated 01/2023
Duration: 1h 38m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 570 MB
Genre: eLearning | Language: English[Auto]
It’s not a course, it’s all the best courses in one

Free Download AI Show: MLOps (v2) – Unifying MLOps at Microsoft
Released: 03/2023
Duration: 47m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 333 MB
Level: Intermediate | Genre: eLearning | Language: English
The AI Show is a licensed partnership with Microsoft Learn that showcases the amazing work happening in AI at Microsoft. In this course, Seth Juarez, Program Manager in the Azure Artificial Intelligence Product Group at Microsoft is joined by Moritz Steller and Setu Chokshi for a discussion about MLOps (v2) fundamentals, approach, and architectures. Moritz and Setu also demo each new feature!

Free Download Ml And Mlops 10X Faster! Hands-On Mlops Mlflow Pycaret 2023
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 853.29 MB | Duration: 1h 6m
How to build, track, deploy, register a machine learning model as fast as possible | MLOps coding: PyCaret and MLflow

Practical MLOps: Operationalizing Machine Learning Models by Noah Gift, Alfredo Deza
English | October 19, 2021 | ISBN: 1098103017 | 458 pages | MOBI | 9.09 Mb
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.

Released 09/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 12m | Size: 37.1 MB
This series of courses introduces you to the essentials of MLOps, the application of software engineering/devops principles to the development of machine learning applications. In this course, MLOps expert Noah Gift introduces you to MLflow models and steps you through the process of creating them. Noah explains some essentials of MLOps with Azure, then goes over how to log, load, register, and deploy MLflow models. He covers how to work with your models on Databricks, as well as how to serve out a model, review its different versions, and invoke a version. Noah walks you through end-to-end machine learning on Databricks and highlights several very useful advanced features in Databricks.

Released 09/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 20m | Size: 50.6 MB
This series of courses introduces you to the essentials of MLOps, the application of software engineering/devops principles to the development of machine learning applications. In this course, MLOps expert Noah Gift introduces you to the basics of tracking, gives you details on why you need to track your models in production, and shows you some telemetry. Noah gets you started with MLflow and MLflow Tracking, open-source MLflow implementation, uploading DBFS to AutoML, and end-to-end ML with Databricks and MLflow. He dives into how to ingest tables, quick start ML, attach a notebook, inspect experiments UI, and hyperparameter tune. Noah shows you how to obtain and get started using MLflow, interact with the UI, and check out the projects. After demonstrating how to configure an AutoML experiment, he finishes up with an end-to-end MLOps model workflow.

Released 09/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 48m | Size: 117 MB
MLOps is the application of software engineering/DevOps principles to the development of machine learning applications. In this course, MLOps expert Noah Gift explains the essentials of MLOps with Azure and shows you how to get started with Spark for MLOps. Nick goes over several important essentials of MLOps with Azure ahd shows you how to get started with Spark for MLOps. He covers Spark Databricks clusters and notebooks, as well as how to use data with Databricks Spark. Nick demonstrates how to get started with PySpark and how to add users, import and create notebooks, facilitate collaborative projects, and invite others to the team. Plus, he explores the need for MLOps, how to get started using it, the major platforms MLOps operates on, and more.