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Cloud DevOps using Microsoft Azure

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Course Report - Cloud DevOps using Microsoft Azure

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

10 hours per week

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Teaching Type

Self Paced

Course Description

Microsoft Azure is a popular cloud service platform used by enterprises. This makes it an important tool for cloud computing professionals to increase their skill set. Cloud DevOps using Microsoft Azure Nanodegree teaches students how cloud applications can be deployed, tested, and monitored on Azure. This program prepares learners for the Microsoft AZ-400 DevOps Expert certification exam.

Course Overview

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Virtual Labs

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Write and read code using Python with 1 or more years of experience, including knowledge of loops, if/then statements, data types, functions, classes, and objects

Create a free-tier Azure account for this course, which requires a computer with command-line access, an up-to-date Web browser, and an email address

Demonstrate conceptual cloud skills

Demonstrate basic Linux shell skills

What You Will Learn

Learn to develop and deploy cloud-based applications on Microsoft Azure, the cloud services platform used by 95% of Fortune 500 companies

Azure Infrastructure Operations

Ensuring Quality Releases (Quality Assurance)

Target Students

This Nanodegree program accepts everyone, regardless of experience and specific background

Course Instructors

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Noah Gift

Founder of Pragmatic Ai Labs

Noah Gift teaches and consults at top universities and companies globally, including Duke and Northwestern. His areas of expertise are Machine Learning, MLOps, A.I., Data Science, and Cloud Architect...
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Erick Galinkin

Principal Ai Researcher | Rapid7

Erick Galinkin is a hacker and scientist specializing in Applying Artificial Intelligence to Cybersecurity. He also conducts academic research on machine learning theory and the interplay between algorithmic game theory and information security.
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Nathan Anderson

Devops Engineer, Goodyear Tire & Rubber Company

Nathan has worked on implementing DevOps solutions for the past 8 years across the financial, educational, logistics, and manufacturing industries.

Corporate Sponsors

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