Deploying Applications
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Course Feature
Cost:
Free
Provider:
Qwiklabs
Certificate:
Free Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Qwiklabs platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 19th, 2023]
This course provides an overview of deploying applications on the Google Cloud Platform. Students will learn how to deploy sample applications on Google App Engine, as well as explore other web application frameworks such as Firebase, Wordpress, and Node.js. Students will gain hands-on experience integrating these frameworks with Google Cloud. By the end of the course, students will have a better understanding of the different options available for deploying applications on the Google Cloud Platform.
[Applications]
After completing this course, students will have a better understanding of how to deploy applications on the Google Cloud Platform. They will be able to use the various frameworks and options available to them to create and deploy their own applications. Additionally, they will have a better understanding of how to integrate other web application frameworks with Google Cloud. Finally, they will have the knowledge and skills to troubleshoot and debug any issues that may arise during the deployment process.
[Career Paths]
1. Cloud Engineer: Cloud Engineers are responsible for designing, deploying, and managing cloud-based applications and services. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Cloud Engineers must also be able to troubleshoot and optimize cloud-based applications and services. This job is expected to grow rapidly as more businesses move to the cloud.
2. DevOps Engineer: DevOps Engineers are responsible for automating the development, deployment, and management of applications and services. They must be knowledgeable in scripting languages, such as Python and Bash, as well as cloud-based technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. DevOps Engineers must also be able to troubleshoot and optimize cloud-based applications and services. This job is expected to grow rapidly as more businesses move to the cloud.
3. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Cloud Architects must also be able to troubleshoot and optimize cloud-based applications and services. This job is expected to grow rapidly as more businesses move to the cloud.
4. Cloud Security Engineer: Cloud Security Engineers are responsible for designing, deploying, and managing secure cloud-based applications and services. They must be knowledgeable in cloud computing technologies, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Cloud Security Engineers must also be able to troubleshoot and optimize cloud-based applications and services. This job is expected to grow rapidly as more businesses move to the cloud.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. Students will also learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning. This degree path is ideal for those looking to pursue a career in software engineering, web development, or cloud computing.
2. Bachelor of Science in Information Technology: This degree program focuses on the application of technology to solve business problems. Students will learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning. This degree path is ideal for those looking to pursue a career in IT management, software engineering, or web development.
3. Master of Science in Cloud Computing: This degree program provides students with a comprehensive understanding of cloud computing fundamentals, such as distributed computing, virtualization, and cloud security. Students will also learn about the latest technologies and trends in the field, such as artificial intelligence, machine learning, and blockchain. This degree path is ideal for those looking to pursue a career in cloud computing, software engineering, or web development.
4. Master of Science in Artificial Intelligence: This degree program provides students with a comprehensive understanding of artificial intelligence fundamentals, such as machine learning, natural language processing, and computer vision. Students will also learn about the latest technologies and trends in the field, such as robotics, autonomous vehicles, and blockchain. This degree path is ideal for those looking to pursue a career in artificial intelligence, software engineering, or web development.
Course Syllabus
Deploying a Python Flask Web Application to App Engine Flexible
In this lab, you will learn how to use App Engine Flexible with Pythonâs Flask framework. Youâll deploy a web application that allows users to upload photos of peopleâs faces and do simple facial recognition with the Cloud Vision API.Deploy Node.js Express Application in App Engine
In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.Deploy a Ruby on Rails App to App Engine Flexible Environment
In this lab, you will learn how to deploy a new Ruby on Rails application or Rails app for short to Google App Engine Flexible environment. You will learn Cloud Shell and the Cloud SDK to get started without needing any downloads or installs.Deploy an ASP.NET Core App to App Engine
In this lab, you will deploy a simple ASP.NET Core app to App Engine Flexible environment. This lab builds on the "Build and Launch an ASP.NET Core app from Google Cloud Shell" lab.Deploy ASP.NET Core App to Kubernetes Engine
In this lab, you learn how to turn your ASP.NET Core code into a Docker container image, and then run that image as a replicated application running on Kubernetes on Google Container Engine (GKE).Firebase Web
In this lab youâll learn how to use the Firebase platform to easily create Web applications and implement and deploy a chat client.Deploying Memcached on Kubernetes Engine
In this lab you'll learn how to deploy a cluster of distributed Memcached servers on Kubernetes Engine using Kubernetes, Helm, and Mcrouter.Course Provider
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