MLOps. Machine Learning deployment: AWS, GCP & Apple in<7hrs

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MLOps. Machine Learning deployment: AWS, GCP & Apple in<7hrs
MLOps ML Model Deployment AWS Sagemaker GCP Apple Cases

Learn to deploy ML models to multiple environments, Data Engineering best practices and BOOST your career

Product Brand: Udemy

Editor's Rating:
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Udemy Coupon Code for MLOps. Machine Learning deployment: AWS, GCP & Apple in<7hrs Course. Learn to deploy ML models to multiple environments, Data Engineering best practices and BOOST your career

Created by Maxim Migutin | 5 hours on-demand video course

MLOps Course Overview

MLOps. Machine Learning deployment: AWS, GCP & Apple in<7hrs

MLOps has been helping me automate & roll out robust, easily maintainable and state-of-the-art ML in IT, Food and Travel industries over the last 6 years. With the help of modern Cloud Computing and open source software I’ve brought live dozens of ML research projects, successfully solved very complex Business challenges and even changed the country where I live & work!

There are many different technologies powering modern ml ops. Some of them are: AWS Sagemaker, Kubeflow, Azure machine learning, mlflow, GCP Vertex AI, dvc etc. We will cover many of them and see how they work together.

The course will also teach you about Data Drifts: a common issue arising in the world of Machine Learning models. We will learn what these are, how to discover them in a timely manner and what actions to take to mitigate their effect on model’s performance.

We will use a variety techniques for that: from simple visual analysis using histograms & box plots all the way to learning EvidentlyAI. Join me in this fun and Industry-shaped course to get new skills and improve your MLOps & Cloud acumen!

What you’ll learn

  • Productionize ML Solutions to Real World Business Problems
  • Roll out ML Models to Multiple Environments
  • Learn to Work in AWS SageMaker
  • Learn to Work in GCP Vertex AI
  • Train & Deploy ML Models for Apple Devices
  • Create a Solid Case to GET PROMOTED in Your Career

Python Programming for MLOps – AIOps – DevOps

Python Programming for MLOps – AIOps – DevOps

Optimize MLOps, AIOps, and DevOps Workflows with Python

Master the essential Python skills you need to streamline DevOps workflows, implement intelligent MLOps pipelines, and optimize AIOps practices. This Python Programming for MLOps – AIOps – DevOps course dives into Python fundamentals, file automation, command-line mastery, Linux utilities, package management, Docker, CI/CD with AWS, infrastructure automation, and even advanced monitoring and logging techniques.

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Complete Machine Learning,NLP Bootcamp MLOPS & Deployment

Master the theory, practice, and math behind ML,NLP. Build real-world projects with MLOPS, git, Dockers with deployment

Are you looking to master Machine Learning (ML) and Natural Language Processing (NLP) from the ground up? This Complete Machine Learning,NLP Bootcamp MLOPS & Deployment course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience.

By the end of this course, you’ll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You’ll be able to apply your knowledge to build real-world projects, and you’ll have the skills needed to pursue a career in ML and NLP.

Who this course is for

  • Machine Learning Enthusiasts, Data Scientists, Data Analysts, Developers, AI professionals

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Taught by Max Migutin

Josh Smith
Josh Smith

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