Mastering DevOps with AWS and Azure
Mastering DevOps with AWS and Azure, available at $19.99, has an average rating of 3.3, with 31 lectures, 1 quizzes, based on 17 reviews, and has 4272 subscribers.
You will learn about On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services. Having command over all the DevOps/SDLC options, services and tools available with all developer tools available on AWS. You could develop Mobile, Web, IoT, AI, and other applications. You would be able to develop and deploy your applications over Microsoft AZURE Cloud Platform. You could develop , test and manage Repositories, Test Suites, Pipelines, Artifact, etc This course is ideal for individuals who are Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services. or Anyone who just wants to learn and test Microsoft AZURE Cloud Platform or any developer willing to develop his/her application over Microsoft Azure. or Students and Professionals currently working in the domain of DevOps and Software Engineering, and want to make a career on Cloud Computing. It is particularly useful for Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services. or Anyone who just wants to learn and test Microsoft AZURE Cloud Platform or any developer willing to develop his/her application over Microsoft Azure. or Students and Professionals currently working in the domain of DevOps and Software Engineering, and want to make a career on Cloud Computing.
Enroll now: Mastering DevOps with AWS and Azure
Summary
Title: Mastering DevOps with AWS and Azure
Price: $19.99
Average Rating: 3.3
Number of Lectures: 31
Number of Quizzes: 1
Number of Published Lectures: 31
Number of Published Quizzes: 1
Number of Curriculum Items: 32
Number of Published Curriculum Objects: 32
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- On completion of this course you would be able to develop and deploy your applications over Amazon Cloud- Amazon Web Services.
- Having command over all the DevOps/SDLC options, services and tools available with all developer tools available on AWS.
- You could develop Mobile, Web, IoT, AI, and other applications.
- You would be able to develop and deploy your applications over Microsoft AZURE Cloud Platform.
- You could develop , test and manage Repositories, Test Suites, Pipelines, Artifact, etc
Who Should Attend
- Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.
- Anyone who just wants to learn and test Microsoft AZURE Cloud Platform or any developer willing to develop his/her application over Microsoft Azure.
- Students and Professionals currently working in the domain of DevOps and Software Engineering, and want to make a career on Cloud Computing.
Target Audiences
- Anyone who just wants to learn and test Amazon Web Services Platform or any developer willing to develop his/her application over Amazon Cloud- Amazon Web Services.
- Anyone who just wants to learn and test Microsoft AZURE Cloud Platform or any developer willing to develop his/her application over Microsoft Azure.
- Students and Professionals currently working in the domain of DevOps and Software Engineering, and want to make a career on Cloud Computing.
People involved in Software Development, Testing and Operations, knows the significance of DevOps and SDLC tools and technologies. When you are working in a team that requires code sharing, collaborations, version control, unit testing, automation and other quality control parameters, you need DevOps. Over past few decades, this process was tedious, and used to be highly depended on office servers with no or little scope for remote work. When Virtualization technologies were introduced, the process was getting sophisticated and more secure, but was sometimes a bit slower. Containers tried to solved various problems that were previously persistent and took DevOps to new heights.
With the introduction of Cloud Computing, people and organizations are finding new ways to simplify their process, optimize costs, integrate various applications together, provide remote access to employees, and a lot more. Cloud Computing is the binding force of the entire Technology sector where everything can be done only, with massive scalability and elasticity. AWS (Amazon Web Services) and Microsoft Azure are the most popular cloud computing platforms.
In this course, you will be learning various DevOps tools an services provided on AWS and Microsoft Azure. You will learn how you can integrate various services together, and implement Agile best practices on the Cloud.
DevOps on Microsoft Azure:Boards, Artifact, Repos, Pipelines, Test Plans, Tool Integration, DevOps Projects, DevTest Labs, Application Insights and DevOps Organization.
DevOps on AWS:Cloud9, CodeCommit, CodeDeploy, CodeStar, CodeBuild, CodePipeline, etc.
If you are still not familiar with DevOps and Software Development Life cycle, don’t worry you don’t require any previous experience on DevOps, and you will still learn a lot in this course. Just for the sense of introduction- DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from Agile methodology.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Introduction
Chapter 2: Introduction to DevOps
Lecture 1: Introduction to DevOps
Chapter 3: DevOps on Microsoft Azure
Lecture 1: Boards
Lecture 2: Artifact
Lecture 3: Repos
Lecture 4: Pipelines
Lecture 5: Azure Test Plans
Lecture 6: Tool Integration
Chapter 4: DevOps Projects
Lecture 1: DevOps Projects- Create an Instance
Lecture 2: DevOps Projects- Boards, Repos
Lecture 3: DevOps Projects- Pipeline, Test Plan, Artifact
Chapter 5: DevTest Labs
Lecture 1: DevTest Labs
Lecture 2: DevTest Labs- Create an Instance
Lecture 3: DevTest Labs- Exploring options
Chapter 6: Application Insights
Lecture 1: Application Insights
Chapter 7: DevOps Organization
Lecture 1: DevOps Organization
Chapter 8: Introduction to AWS
Lecture 1: Exploring Amazon Web Services
Lecture 2: Creating an AWS account
Chapter 9: AWS CLI: Command Line Interface
Lecture 1: AWS CLI: Installation and Configuring with IAM user credentials
Lecture 2: AWS CLI: Command Reference
Chapter 10: AWS DevOps- Cloud 9
Lecture 1: Cloud9
Lecture 2: Cloud9- Practical
Chapter 11: CodeBuild
Lecture 1: CodeBuild
Lecture 2: CodeBuild- Practical
Chapter 12: CodeCommit
Lecture 1: CodeCommit
Lecture 2: CodeCommit- Practical
Chapter 13: CodeDeploy
Lecture 1: CodeDeploy
Chapter 14: CodePipeline
Lecture 1: CodePipeline
Lecture 2: CodePipeline- Practical
Chapter 15: CodeStar
Lecture 1: CodeStar
Lecture 2: CodeStar- Practical
Instructors
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Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 5 votes
- 3 stars: 6 votes
- 4 stars: 2 votes
- 5 stars: 4 votes
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