Udemy

MLOps for Beginners

Understand how to provide an end-to-end ML development process to design, build and manage the AI model lifecycle
Free tutorial
Rating: 4.1 out of 5 (173 ratings)
2,920 students
34min of on-demand video
English
English [Auto]

Current State of AI
How MLOps alleviates challenges faced in AI implementation
AI Model Lifecycle
Introduction to ML Platforms

Requirements

  • No programming experience needed. You will learn everything you need to know.

Description

AI is no longer exclusively for digitally native companies like Amazon, Netflix, or Uber. Unsurprisingly, Gartner predicts that more than 75% of organizations will shift from piloting AI technologies to operationalizing them by the end of 2024 — which is where the real challenges begin. Unfortunately, scaling AI in this sense isn’t easy. There is a chasm between ML and MLOps that can be tricky to scale. Getting one or two AI models into production is different from running an entire enterprise or product on AI. And as AI is scaled, problems can (and often do) scale, too.


Organizations that are serious about AI have to adopt a new discipline, “MLOps” or Machine Learning Operations. MLOps is the bridge. It is an engineering culture and practice that aims to unify ML system development and operations to facilitate data processing, machine learning pipeline, model training, experimentation, evaluation, registry, deployment, monitoring, serving, and scaling. Essentially, MLOps refers to a set of practices that helps in deploying and maintaining machine learning models in production efficiently and reliably. It is a collaborative team function often comprising of data scientists and DevOps engineers.


In this course, you will learn:

  • The building blocks of MLOps

  • The best practices and tools that facilitate rapid, safe, and efficient development and operationalization of AI

Who this course is for:

  • Aspiring MLOps Professionals and Enthusiasts
  • Individuals interested in data and AI industry

Instructor

Automate your cycle of Intelligence
Katonic MLOps Platform
  • 4.1 Instructor Rating
  • 361 Reviews
  • 5,294 Students
  • 2 Courses

Katonic MLOps platform is a collaborative platform with a unified UI to manage all data science in one place. The platform combines the creative scientific process of data scientists with the professional software engineering process to build and deploy Machine Learning models into production safely, quickly, and in a sustainable way.

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