Katonic MLOps Certification Course

[LeeAndro]

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.16GB | Duration: 39 lectures 3h 0m

What you'll learn
Introduction to MLOps
Introduction to Kubernetes & Docker
MLOps Platform Introduction and Walkthrough
Build an End-to-End ML Use Case

Requirements
Python
Concepts of Machine Learning
Description
Machine Learning Operations (MLOps) provides an end-to-end machine learning development process to design, build and manage reproducible, testable, and evolvable ML-powered software.

It is a set of practices for collaboration and communication between data scientists and operations professionals. Deploying these practices increases the quality, simplifies the management process, and automates the deployment of Machine Learning models in large-scale production environments.

With this course, get introduced to MLOps concepts and best practices for deploying, evaluating, monitoring and operating production ML systems.

This course covers the following topics

What is MLOps

Lifecycle of an ML System

Activities to Productionize a Model

Maturity Levels in MLOps

What is Docker

What are Containers, Virtual Machines and Pods

What is Kubernetes

Working with Namespaces

MLOps Stack Requirements

MLOps Landscape

AI Model Lifecycle

Introduction to Katonic MLOps Platform

End-to-End use case walkthrough

Creating a workspace

Fetching data and working with notebooks.

Building an ML pipeline

Registering & deploying a model

Building an app using Streamlit

Scheduling a pipeline run

Model Monitoring

Retraining a model

By the end of this course, you will be able to

Understand the concepts of Kubernetes, Docker and MLOps.

Realize the challenges faced in ML model deployments and how MLOps plays a key role in operationalizing AI.

Design an end-to-end ML production system.

Develop a prototype, deploy, monitor and continuously improve a production-sized ML application.

Who this course is for
Data Scientists
Aspiring MLOps Professionals and Enthusiasts
Individuals interested in data and AI industry

HomePage:

https://anonymz.com/https://www.udemy.com/course/katonic-mlops-certification-course/

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