Essentials of MLOps with Azure: 1 Introduction

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Noah Gift

48:28

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01 - Introduction

01 - Essentials of MLOps with Azure.mp4

01:59

02 - Getting started with Spark for MLOps.mp4

01:11

03 - Prerequisite technology overview.mp4

00:27

02 - 1. Getting Started with Spark for MLOps

01 - Spark Databricks clusters.mp4

12:11

02 - Spark notebooks.mp4

04:41

03 - Using data with Databricks Spark.mp4

04:53

04 - Getting started with PySpark.mp4

07:04

05 - Databricks workspaces and repos.mp4

03:14

06 - What is MLOps.mp4

12:48

Description

MLOps is the application of software engineering/DevOps principles to the development of machine learning applications. In this course, MLOps expert Noah Gift explains the essentials of MLOps with Azure and shows you how to get started with Spark for MLOps. Nick goes over several important essentials of MLOps with Azure ahd shows you how to get started with Spark for MLOps. He covers Spark Databricks clusters and notebooks, as well as how to use data with Databricks Spark. Nick demonstrates how to get started with PySpark and how to add users, import and create notebooks, facilitate collaborative projects, and invite others to the team. Plus, he explores the need for MLOps, how to get started using it, the major platforms MLOps operates on, and more.

Note: This course was created by Noah Gift. We are pleased to host this training in our library.

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Microsoft Azure

DevOps

Noah Gift

Instructor's Courses

Author of Practical MLOps, Enterprise MLOps, Developing on AWS with C#, Pragmatic AI, and Python for DevOps. Certified on Multiple MLOps certifications including Google-Professional Machine Learning Engineer and AWS Certified Machine Learning - Specialty. Adjunct Professor at Duke MIDS & Northwestern Graduate Data Science & AI. Held business roles including CTO, general manager, consulting CTO, and cloud architect. Consults with start-ups and other companies on machine learning and cloud architecture. AWS ML Hero, Python Software Foundation Fellow, AWS Subject Matter on Machine Learning, AWS Certified Solutions Architect, AWS Certified Machine Learning Specialist, AWS Certified Big Data Specialist, Google Certified Professional Architect, and AWS Academy Accredited Instructor. Published books, videos, and courses on cloud machine learning, DevOps, Python, Data Science, Big Data and AI. ★ Specialties ★ ° Cloud-native Machine Learning and AI ° Directly teaching cutting edge skills to students that lead to jobs ° Creating world-class content in all forms ° Building Companies ° Shipping new Products ° Leading and growing engineering teams ° Production Machine Learning, Deep Learning, Big Data, and AI ° Serverless Data Engineering ° Advising Early Stage Startups/Consulting CTO services ° Distributed Systems and Scalability

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