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YouTube

MLOps - Machine Learning Operations

via YouTube

Overview

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This course introduces MLOps through hands-on lessons on Kubernetes, automated CI/CD, feature stores, model monitoring, testing, and deployment. It also covers TFX pipelines, containers, cloud deployment, and Apache Airflow.

Syllabus

An Introduction to MLOps.
MLOps with Azure - Hands on Session.
Hands on Kubernetes for Data Scientists and Engineers.
MLOps with TFX pipelines - Tensorflow Extended.
MLOps - End to End automated CI/CD pipeline for Continuous Deployment.
Feature Store for Machine Learning - MLOps.
MLOps with Feature Store - Move models from development to production.
Accelerating Machine Learning with a Feature Store.
Model Monitoring - Concept and Data Drift - Part 2.
Model Monitoring Deep Dive.
Machine Learning Models - Load and Performance Testing Demo.
Model Deployment Deep Dive using Containers, Google Cloud Run and App Engine.
Model Deployment Challenges and Best Practices - Webinar for Analytics Vidhya.
MLOps - Machine Learning Deployment with CI/CD pipeline - Part 1.
MLOps - GitHub Kubernetes Continuous Model Deployment - Streamlit - Part 2.
Getting Started with Apache Airflow.

Taught by

AIEngineering

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Pradyumna Karkhane
    Pradyumna Karkhane
    Course is very good to get overview of getting started with MLops. The panel was very experienced and with good handon material inorder to understand practical aspect of it.

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