MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo from Udemy

Overview

This online course is designed to teach the fundamentals of MLOps, a culture that emphasizes smooth implementation and productionization of Machine Learning models. MLOps has rapidly grown as a market solution to tackle the challenges faced by traditional machine learning lifecycle management. It involves the deployment of machine learning models into production, which is essential for providing real business value. Note that this course focuses on the MLOps principles, not Azure ML specifically, but an Azure demo section is provided to showcase the workings of an end-to-end MLOps project.

Throughout the course, students will learn the core basics and fundamentals of MLOps, exploring the challenges in traditional machine learning lifecycle management and how MLOps addresses these issues. Other topics covered include the standards and principles of MLOps, Continuous Integration (CI), Continuous Delivery (CD) and Continuous Training (CT) pipelines, MLOps maturity levels, and comparisons of MLOps tools and platforms. Additionally, the course includes a quick crash course on Azure Machine Learning components and an end-to-end CI/CD MLOps pipeline case study using Azure DevOps and Azure Machine Learning.

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Skills you’ll learn

1. Understanding MLOps core basics and fundamentals
2. Identifying challenges in traditional machine learning lifecycle management
3. Exploring how MLOps addresses issues and adds flexibility and automation
4. Grasping standards and principles of MLOps
5. Learning continuous integration (CI), continuous delivery (CD), and continuous training (CT) pipelines
6. Familiarizing with MLOps maturity levels
7. Evaluating MLOps tools and platforms, including comparisons
8. Gaining hands-on experience with an end-to-end MLOps pipeline using Azure DevOps and Azure Machine learning

Summary

Dive into the fascinating world of MLOps and enhance your knowledge of CI/CD/CT pipelines through this comprehensive course on Azure, led by the experienced instructor J Garg. With 35 engaging lessons, more than 7300 eager learners have already embarked on this enriching journey, giving it an impressive 4.1 out of 5 rating. Unleash your potential and join this thriving community of passionate individuals, ready to harness the power of ML in real-time!