Nanodegree Azure DevOps

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

ESTIMATED TIME

4 months complete

8 – 10 hours / week

English

Subtitles: English – Spanish

Available in

What will you learn

The Cloud DevOps program that Microsoft Azure Specialization uses is comprised of content and curriculum to support three projects.

Once you subscribe to a Specialization program, you will have access to the content and services for the time specified in your subscription. We estimate that students can complete the program in three months, working 5-10 hours per week.

PRIOR KNOWLEDGE

A well-prepared student can now:

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-level 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 skills in the cloud
Demonstrate basic Linux shell skills

Azure Infrastructure Operations

One of the most common objects on the modern Internet is the load balanced web server. In this project, you will write the infrastructure as code using Terraform and Packer to manage the infrastructure in the cloud. With this framework as your code tools, you will first create a policy that ensures that all indexed resources are tagged. Next, you’ll create a reusable Terraform module and a Packer template to deploy a custom web server image. Finally, you will use Packer to deploy your VM image and use Terraform to write the infrastructure configuration that uses this image to create a load balanced set of web servers.

Agile Development con Azure

Establishing a continuous integration/continuous delivery (CI/CD) pipline is critical to enabling high-quality customer service experiences in today’s digital world. In this project, you’ll create a continuous delivery pipeline that deploys a Flask Machine Learning app using Azure Pipelines to Azure App Services. First, you’ll use Github Actions along with a .txt file and application code to perform a lint, test, and install boot cycle on a machine learning application running on Flask in Azure App Services. Then, you’ll integrate Continuous Delivery using Azure Pipelines to automatically deploy tested application changes to production. Finally, you’ll test the predictability of your production-deployed machine learning application and create a demo screencast that demonstrates your continuous delivery proficiency with Azure.

Guarantee quality versions (quality assurance)

To ensure optimal performance and functionality, cloud applications must undergo continuous testing and monitoring. In this project, you will use industry-leading DevOps tools within Microsoft Azure and Terraform to create disposable test environments within a CI / CD pipeline and run a variety of automated tests with the click of a button. First, you will deploy an application in a test environment that automatically runs functional, integration, and load tests. You will then view the logs and data ingested from these tests to determine where the failures may have occurred. Finally, you will determine the root causes by consulting your application’s custom log files.

What is a professional certificate?

Develop the skills necessary to complete the job

Whether you want to start a new career or change your current career, Coursera’s professional certificates help you prepare for the position. Learn at your own pace, at a time and place that is most comfortable for you. Enroll today and discover a new career with a 7-day free trial. You can pause your classes or end the subscription at any time.

Practical projects

Apply your skills to practical projects and develop a portfolio that demonstrates your job readiness to potential employers. You will need to finish the projects correctly to get your certificate.

Get a professional credential

When you complete all the courses in the program, you earn a certificate that you can share with your professional network, as well as access to professional support resources to help you start your new career. Many professional certificates have partners interested in hiring staff who recognize the professional certificate credential, and others can help you prepare for the certificate exam. You can see more information on the pages of the particular professional certificate where it applies.

Program Offer It includes
Real world projects Yes
STUDENT SERVICES
Mentor Tech Support Yes
Student community Yes
CAREER SERVICES
CV support Yes
Freelance Projects Yes

Succeed with Personalized Services

Brindamos servicios personalizados para sus necesidades en cada paso de su viaje de aprendizaje para garantizar su éxito.
Mentors available to answer your questions
Biweekly (2 hour) live classes and on-demand support from TAs
Double the time of weekly 1:1 mentorship
Biweekly accountability sessions with a personalized study plan
MENTORSHIP SERVICES
  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors
Mentors available to answer your questions
Biweekly (2 hour) live classes and on-demand support from TAs
Double the time of weekly 1:1 mentorship
Biweekly accountability sessions with a personalized study plan

More questions about the program?

Schedule a call with our Admissions team or email, our Admissions Manager, who will help you think through the decision.

Real World Project
Develop an End-to-End project that will allow you to interact in a real work environment.

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Cloud DevOps Engineer Azure

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Pay as you go
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55
Mensual
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  • Comunidad de Slack
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+ 50 % de tu salario primer mes al conseguir un empleo

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  • Debes completar los 4 meses del programa
Mejor valorado

ACCESO DE 4 MESES

Pague por adelantado y ahorre un 15% adicional
$
170
Total
  • 4 meses es el tiempo promedio para completar este programa.
  • Ahorre un 30% adicional en comparación con el pago por uso.
  • Comunidad de Slack
  • Acceso a todas las sesiones
  • Acceso a todos los Quiz
  • Acceso a todos los proyectos
  • Acceso a Laboratorios
  • Cancela en cualquier momento.
  • Cambie al precio mensual después si necesita más tiempo.
New

+ 50 % de tu salario primer mes al conseguir un empleo

  • Si no encuentras un empleo, te exoneramos de pagar el 50% de tu primer sueldo.
qwq.png
Tulio Velásquez
Gerente Arq Tecnología
La mentora tiene claridad en el material y como se explica el paso a paso para cada implementación. La mentora tiene el conocimiento y hace un fácil entendimiento del curso.
qwdq.png
Melani Stefania Ruales
Fellow
Creo que tiene profesores calificados y los temas en los cursos son súper buenos. Es una buena profesora, que conoce sobre los temas a tratar. Además es dinámica al momento de impartir la clase
fqwq.png
Diana Jaramillo
Fellow
Tiene experiencia la mentora. Me agrada que hayan laboratorios y poder revisar las clases grabadas.
qfqw.png
Bryan Xavier Landázuri
Felow
Estuvo interesante cada modulo de clase y cada laboratorio que se realizo tenia su respectiva guía. Estuvo bien explicado, presento muchos aplicaciones de los diversos temas que se vieron durante el curso
New

Acceso al programa asincrónico

Pay as you go
  • Máxima flexibilidad para aprender a tu propio ritmo.
  • Comunidad de Slack
  • Acceso a todas las sesiones
  • Acceso a todos los Quiz
  • Acceso a todos los proyectos
  • Acceso a Laboratorios
  • Cancela en cualquier momento.

ACCESO DE 4 MESES

Pague por adelantado y ahorre un 30% adicional
  • 4 meses es el tiempo promedio para completar este curso.
  • Ahorre un 30% adicional en comparación con el pago por uso.
  • Comunidad de Slack
  • Acceso a todas las sesiones
  • Acceso a todos los Quiz
  • Acceso a todos los proyectos
  • Acceso a Laboratorios
  • Cancela en cualquier momento.
  • Cambie al precio mensual después si necesita más tiempo.

María  Cruz

Mentora

Lead Data Scientist en BAT. Doctora en Control Automático con especialidad en procesamiento de Imágenes. Estancias de investigación en la Universidad de California en EEUU, en la Universidad de Coimbra en Portugal y trabajos de investigación con la Universidad de Yale

Jenny Vega

Mentora

Machine Learning Engineer Rappi Software Engineer con más de 5 años de experiencia en el desarrollo de aplicaciones de big data y machine learning altamente escalables. Con sólidos conocimientos y práctica en lenguajes de programación como Python y Javascript. Arquitecta Asociada de AWS. Autodidacta de nuevas tecnologías y frameworks dentro de machine learning e inteligencia artificial.

Cononoce como se aplican los microservicios.

Domine algunos servicios de Amazon Web Services

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FAQ

Bootcamp AI is an organization that helps reduce the technological gap in the world, we have professional Nanodegrees curated by experts focused on job placement.

If you are subscribed, you get a 7-day free trial, which you can cancel whenever you want without any type of penalty. After that time, we do not issue refunds. However, you can cancel your subscription whenever you want. See our full refund policy .

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