![Linkedin – MLOps with Databricks](https://i124.fastpic.org/big/2025/0106/45/70784442c757130754b7f596bf014c45.jpeg)
Free Download Linkedin – MLOps with Databricks
Released: 12/2024
Duration: 1h 9m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 166 MB
Level: Intermediate |
Genre: eLearning |
Language: English
In this course, MLOps expert Maria Vechtomova introduces the components and principles that you must understand to successfully deploy machine learning models to production on Databricks. Dive into the step-by-step process of using Feature Engineering in Unity Catalog, tracking model experiments in mlflow, registering a model in Unity Catalog, and deploying your model using Databricks model serving. Explore the use cases where Feature Serving can be used and find out how to deploy a Feature Serving endpoint. Plus, learn how to package your code, deploy your project using Databricks Asset Bundles, and monitor your ML application using inference tables and Lakehouse monitoring.
Homepage: https://www.linkedin.com/learning/mlops-with-databricks
DOWNLOAD NOW: Linkedin – MLOps with Databricks
Linkedin – MLOps with Databricks Torrent Download , Linkedin – MLOps with Databricks Watch Free Online , Linkedin – MLOps with Databricks Download Online
Linkedin – MLOps with Databricks Fast Download
Linkedin – MLOps with Databricks Full Download
free Linkedin – MLOps with Databricks, Downloads Linkedin – MLOps with Databricks, Rapidgator Linkedin – MLOps with Databricks, Nitroflare Linkedin – MLOps with Databricks, Mediafire Linkedin – MLOps with Databricks, Uploadgig Linkedin – MLOps with Databricks, Mega Linkedin – MLOps with Databricks, Torrent Download Linkedin – MLOps with Databricks, HitFile Linkedin – MLOps with Databricks , GoogleDrive Linkedin – MLOps with Databricks,
Please feel free to post your Linkedin – MLOps with Databricks Download, Tutorials, Ebook, Audio Books, Magazines, Software, Mp3, Free WSO Download , Free Courses Graphics , video, subtitle, sample, torrent, NFO, Crack, Patch,Rapidgator, mediafire,Mega, Serial, keygen, Watch online, requirements or whatever-related comments here.