Nanodegree Azure DevOps
August 6, 2021 2022-10-24 14:35Nanodegree Azure DevOps
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Level
4 months complete
8 – 10 hours / week
English
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.
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 |
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Cloud DevOps Engineer Azure
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MONTHLY ACCESS
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Acceso al programa asincrónico
- 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.
+ 50 % de tu salario primer mes al conseguir un empleo
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- Si no encuentras un empleo, te exoneramos de pagar el 50% de tu primer sueldo.
- Debes completar los 4 meses del programa
ACCESO DE 4 MESES
- 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.
+ 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.

Tulio Velásquez
Gerente Arq Tecnología
Melani Stefania Ruales
Fellow
Diana Jaramillo
Fellow
Bryan Xavier Landázuri
FelowAcceso al programa asincrónico
- 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
- 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.
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.
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