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Cloud DevOps using Microsoft Azure
Nanodegree Program
Learn to develop and deploy cloud-based applications on Microsoft Azure, the cloud services platform used by 95% of Fortune 500 companies.
06Days04Hrs31Min42Sec
Estimated time
3 months
At 5-10 hours/week
Enroll by
October 12, 2022
Get access to the classroom immediately on enrollment
Prerequisites
Intermediate Python, familiarity with Linux shell scripting and cloud concepts
In collaboration with
What you will learn
Cloud DevOps using Microsoft Azure
3 months to completeMicrosoft Azure is one of the most popular cloud services platforms used by enterprises, making it a crucial tool for cloud computing professionals to add to their skillset. The Cloud DevOps using Microsoft Azure Nanodegree program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on Microsoft’s AZ-400 DevOps Engineer Expert certification exam.
Prerequisite knowledge
Azure Infrastructure Operations
In modern deployments, automated deployment and management of cloud infrastructure is crucial for ensuring the high uptimes that customers expect. Understand the DevOps lifecycle and the basics of infrastructure management in Microsoft Azure. Learn about cloud security best practices to keep infrastructure secure. Leverage modern technologies to create robust and repeatable deployments in Microsoft Azure.
Agile Development with Azure
Automated Deployment of high quality software using DevOps principles is a critical skill in the cloud era. Master the theory and practice of Agile project management with hands-on examples. Execute a Python centric Continuous Integration strategy that uses testing best practices, including open source code quality tools such as pylint and pytest. Couple Infrastructure-as-Code (IaC) with Continuous Delivery using Azure Pipelines to streamline the deployment of applications to Azure.
Ensuring Quality Releases (Quality Assurance)
Applications that have been built and released into the cloud need to be evaluated to ensure proper performance. Test cloud-based application performance and functionality within the pipeline itself, as well as after it has been deployed by using different types of test suites such as Selenium and Postman. Exercise those test suites against a variety of endpoints, including a sample eCommerce UI, and REST APIs. Build a systemic application monitoring process based on alert triggers in Azure Monitor and custom log files in Azure Log Analytics.
All our programs include:
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- Github review
- Linkedin profile optimization
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Mentors available to answer your questions.
- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
1,400+ technical mentors
0.85 hours median response time
Learn with the best.
Learn with the best.
Noah Gift
Founder of Pragmatic AI LabsNoah 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 Architecture. Noah has authored several bestselling books, including <em>Python for DevOps</em>.
Erick Galinkin
Principal AI Researcher | Rapid7Erick Galinkin is a hacker and computer scientist, leading research at the intersection of security and artificial intelligence at Rapid7. He has spoken at numerous industry and academic conferences on topics ranging from malware development to game theory in security.
Nathan Anderson
DevOps Engineer, Goodyear Tire & Rubber CompanyNathan has worked on implementing DevOps solutions for the past 8 years across the financial, educational, logistics, and manufacturing industries.
Cloud DevOps using Microsoft Azure
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