Udemy

Machine Learning Deployment For Professionals

Enroll Now
  • 327 Students
  • Updated 4/2022
4.3
(24 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 32 Minute(s)
Language
English
Taught by
Eduonix Learning Solutions
Rating
4.3
(24 Ratings)
2 views

Course Overview

Machine Learning Deployment For Professionals

Learn to deploy and scale your machine learning solutions

Want To Master The Skills Behind The Machine Learning Deployment?


This program is designed for the ones who want to learn the art of machine learning model deployment. Through this program, you'll learn the foundational theories and topics that help to construct machine learning pipelines and machine learning development and deployment lifecycles. Get in-depth knowledge on how to implement a machine learning project to load the data for the evaluation process after testing.


This program includes the must-learn machine learning model deployment patterns like the MlOPS foundation. Also, learn the challenges that you can face with model deployment and mitigation techniques to follow.



Major Concepts That You'll Learn!

  • Introduction to machine learning in production

  • ML and Data lifecycle

  • ML Pipeline

  • Deploying ML solutions


This course aims to introduce different aspects of production in the Machine Learning models. It covers pre-requisites of ML deployment, ML Pipelines, challenges involved in the deployment process, and different methods of ML deployment. Finally, the course covers ML deployment solutions such as web service, batch prediction, and embedded models. This program includes all in-demand skills that any machine learning professional should learn.


Perks Of Availing This Program!

  • Get Well-Structured Content

  • Learn From Industry Experts

  • Learn Trending Machine Learning Tool & Technologies


So why are you waiting? Get yourself updated with the latest and in-demand machine learning skills.


Course Content

  • 5 section(s)
  • 46 lecture(s)
  • Section 1 Course Introduction
  • Section 2 Introduction to machine learning in production
  • Section 3 ML and Data lifecycle
  • Section 4 ML Pipeline
  • Section 5 Deploying ML Solutions

What You’ll Learn

  • Learn to deploy your machine learning solutions
  • Learn the process pipeline for machine learning systems
  • Deploy in popular cloud hosting solutions
  • Learn to deploy on Linux and Windows system

Reviews

  • P
    Prajwal
    5.0

    Great start!!!

  • J
    Jon Z
    2.5

    Glossing over a lot of details, feels like there needs to be several prerequisites before taking this course

  • G
    Gerald Propst
    3.5

    Guter Überblick zu möglichen Machine Learning Deployment Varianten.

  • F
    Fabricio Braz
    3.0

    This course is very nice. The content is precious, and the presenter shows a o lot of confidence. The problem is that they don’t share the slides where are the links for most references. They also could care less about questions. I make one more than a month ago and I got no reply.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed