computer Online
school Intermediate
translate Spoken: Hindi/Hinglish • Notes: English
Cloud Hosting & DevOps Projects
person
Instructor / Creator
Gaurav Kumar Jain
An application needs more than working code to become a dependable hosted service. It needs an environment, a reachable address, correct configuration and a way to verify that each part is running. This course brings together website-hosting lessons, selected AWS and Azure labs, and DevOps tool exercises. The focus is on understanding the relationship between an application, its hosting platform and the tools used to deploy or reproduce its infrastructure. It is intended for learners who already have basic application-development and command-line experience.
Begin with the hosting path. Study connecting a domain to a Linux server, deploying applications in Linux and Windows IIS environments, static website hosting on S3, HTTPS setup and a server troubleshooting example. The recordings use different application stacks, including Spring Boot and React/Node. Treat these as alternative deployment tracks. First reproduce the track that matches your existing application, then compare the configuration and verification steps used by another stack.
Move to the AWS application labs to examine the roles of services such as S3, CloudFront, Lambda, CloudWatch, Amplify, DynamoDB and selected language-analysis services. Follow how the application interacts with storage, authentication, a database or an event-triggered function in the demonstrated projects. The Azure section adds application publishing, GitHub-based deployment, database migration and AI-service examples. The purpose is to trace the participating services and their responsibilities, rather than memorise console clicks.
The DevOps stage introduces a local Kubernetes toolchain, container-oriented application examples, an AWS EKS deployment and Jenkins setup. Continue with Terraform concepts and Azure infrastructure examples involving a virtual machine and a hub-and-spoke network. Written guides explain the distinction between building an application, running a container, exposing a service and provisioning infrastructure. They also introduce repeatable configuration, state, verification and how to record a change so that another learner can reproduce it.
Practise with one small application throughout the course whenever the recording and platform permit it. Keep an environment inventory containing resource names, versions, endpoints and the purpose of each component. For each lab, write down a success check and a failure case before making changes. The final assignment asks you to document a working deployment, demonstrate an update or automation step and explain how the lab resources will be removed.
The 28 recordings are presented by Gaurav Kumar Jain. This is a guided hosting and infrastructure project course, with multiple platform and application examples. It is not a full beginner course in Linux, programming, every cloud service or the complete DevOps profession. Some projects require provider accounts, suitable account permissions and separately billed resources. Consult the current service interface and dependency requirements when reproducing older recordings, and include resource cleanup in the completion of every lab.
Begin with the hosting path. Study connecting a domain to a Linux server, deploying applications in Linux and Windows IIS environments, static website hosting on S3, HTTPS setup and a server troubleshooting example. The recordings use different application stacks, including Spring Boot and React/Node. Treat these as alternative deployment tracks. First reproduce the track that matches your existing application, then compare the configuration and verification steps used by another stack.
Move to the AWS application labs to examine the roles of services such as S3, CloudFront, Lambda, CloudWatch, Amplify, DynamoDB and selected language-analysis services. Follow how the application interacts with storage, authentication, a database or an event-triggered function in the demonstrated projects. The Azure section adds application publishing, GitHub-based deployment, database migration and AI-service examples. The purpose is to trace the participating services and their responsibilities, rather than memorise console clicks.
The DevOps stage introduces a local Kubernetes toolchain, container-oriented application examples, an AWS EKS deployment and Jenkins setup. Continue with Terraform concepts and Azure infrastructure examples involving a virtual machine and a hub-and-spoke network. Written guides explain the distinction between building an application, running a container, exposing a service and provisioning infrastructure. They also introduce repeatable configuration, state, verification and how to record a change so that another learner can reproduce it.
Practise with one small application throughout the course whenever the recording and platform permit it. Keep an environment inventory containing resource names, versions, endpoints and the purpose of each component. For each lab, write down a success check and a failure case before making changes. The final assignment asks you to document a working deployment, demonstrate an update or automation step and explain how the lab resources will be removed.
The 28 recordings are presented by Gaurav Kumar Jain. This is a guided hosting and infrastructure project course, with multiple platform and application examples. It is not a full beginner course in Linux, programming, every cloud service or the complete DevOps profession. Some projects require provider accounts, suitable account permissions and separately billed resources. Consult the current service interface and dependency requirements when reproducing older recordings, and include resource cleanup in the completion of every lab.
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Verified Offering
Program Decision Facts
Verified operational, curriculum, and certification details.
Delivery Mode & Venue
100% Online Self-Paced Interactive Track
Duration & Effort
12 Weeks • 5–10 Hours / Week
Instructor / Teaching Partner
Gaurav Kumar Jain
Pre-requisites
Intermediate • Basic computer literacy
Assessment & Capstone
Mandatory graded practical project submission
Certificate Authority
Kansaraix (OPC) Private Limited • Verified on ProCertificate
Commercial Fee
₹1,000 (All-Inclusive)
Refund & Support
Subject to Platform Policy • Support Desk
verified
Curriculum Quality Review: Tested and validated for modern engineering environments.
Last Audited: October 2026
Course Highlights & Outcomes
11 Total Points
What You'll Learn in this Program
Every key topic, framework, and practical skill covered during your training.
01
Explain the relationship between domains, servers and application endpoints
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02
Follow Linux and Windows IIS application-hosting workflows
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03
Verify static hosting, HTTPS and basic server behavior
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04
Trace storage, authentication, database and event-driven AWS examples
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05
Understand selected Azure publishing and database-migration workflows
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06
Separate application configuration from environment-specific values
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07
Describe the roles of containers, Kubernetes and service exposure
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08
Review Jenkins setup and the stages of a deployment workflow
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09
Explain Terraform configuration, infrastructure state and planned changes
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10
Document deployment checks, troubleshooting and lab cleanup
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11
Prepare a reproducible hosted-application project
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Curriculum & Reading Notes
28 Articles
Detailed Articles & Curriculum Topics
Comprehensive guides and modular reading materials provided for this course.
Topic 01
Course Overview and First Lesson Guide
Course Overview
An application needs more than working code to become a dependable hosted service. It needs an environment, a reachable address, correct configuration and a way to verify that each part is running. This course brings together website-hosting lessons, selected AWS and Azure labs, and DevOps tool exercises. The focus is on understanding the relationship between an application, its hosting platform and the tools used to deploy or reproduce its infrastructure. It is intended for learners who already have basic application-development and command-line experience.
Begin with the hosting path. Study connecting a domain to a Linux server, deploying applications in Linux and Windows IIS environments, static website hosting on S3, HTTPS setup and a server troubleshooting example. The recordings use different application stacks, including Spring Boot and React/Node. Treat these as alternative deployment tracks. First reproduce the track that matches your existing application, then compare the configuration and verification steps used by another stack.
Move to the AWS application labs to examine the roles of services such as S3, CloudFront, Lambda, CloudWatch, Amplify, DynamoDB and selected language-analysis services. Follow how the application interacts with storage, authentication, a database or an event-triggered function in the demonstrated projects. The Azure section adds application publishing, GitHub-based deployment, database migration and AI-service examples. The purpose is to trace the participating services and their responsibilities, rather than memorise console clicks.
The DevOps stage introduces a local Kubernetes toolchain, container-oriented application examples, an AWS EKS deployment and Jenkins setup. Continue with Terraform concepts and Azure infrastructure examples involving a virtual machine and a hub-and-spoke network. Written guides explain the distinction between building an application, running a container, exposing a service and provisioning infrastructure. They also introduce repeatable configuration, state, verification and how to record a change so that another learner can reproduce it.
Practise with one small application throughout the course whenever the recording and platform permit it. Keep an environment inventory containing resource names, versions, endpoints and the purpose of each component. For each lab, write down a success check and a failure case before making changes. The final assignment asks you to document a working deployment, demonstrate an update or automation step and explain how the lab resources will be removed.
The 28 recordings are presented by Gaurav Kumar Jain. This is a guided hosting and infrastructure project course, with multiple platform and application examples. It is not a full beginner course in Linux, programming, every cloud service or the complete DevOps profession. Some projects require provider accounts, suitable account permissions and separately billed resources. Consult the current service interface and dependency requirements when reproducing older recordings, and include resource cleanup in the completion of every lab.
Module Overview
Identify the application stack and hosting environment used by this lesson before reproducing it. A Spring Boot application and a React/Node application have different build and runtime requirements. Trace the path from a domain or endpoint to the running application. Record the application process, listening port and required configuration. Confirm success with an actual request and use the relevant process or server logs to explain a failure.
Lesson Overview: Setting Up Hostinger Domain to Ubuntu/Linux Server: Step-by-Step Guide
Trace how a domain name leads a browser request to the intended hosting environment. Distinguish a DNS record, server address and application listening endpoint. Understand the purpose of each configuration value before copying it into another environment.
Practice Task
Draw the route from a fictional domain to a lab server and application. Record the values that are specific to your environment and a check for name resolution and the final response. If you reproduce the lesson, confirm both steps and record where a failed request stops.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
An application needs more than working code to become a dependable hosted service. It needs an environment, a reachable address, correct configuration and a way to verify that each part is running. This course brings together website-hosting lessons, selected AWS and Azure labs, and DevOps tool exercises. The focus is on understanding the relationship between an application, its hosting platform and the tools used to deploy or reproduce its infrastructure. It is intended for learners who already have basic application-development and command-line experience.
Begin with the hosting path. Study connecting a domain to a Linux server, deploying applications in Linux and Windows IIS environments, static website hosting on S3, HTTPS setup and a server troubleshooting example. The recordings use different application stacks, including Spring Boot and React/Node. Treat these as alternative deployment tracks. First reproduce the track that matches your existing application, then compare the configuration and verification steps used by another stack.
Move to the AWS application labs to examine the roles of services such as S3, CloudFront, Lambda, CloudWatch, Amplify, DynamoDB and selected language-analysis services. Follow how the application interacts with storage, authentication, a database or an event-triggered function in the demonstrated projects. The Azure section adds application publishing, GitHub-based deployment, database migration and AI-service examples. The purpose is to trace the participating services and their responsibilities, rather than memorise console clicks.
The DevOps stage introduces a local Kubernetes toolchain, container-oriented application examples, an AWS EKS deployment and Jenkins setup. Continue with Terraform concepts and Azure infrastructure examples involving a virtual machine and a hub-and-spoke network. Written guides explain the distinction between building an application, running a container, exposing a service and provisioning infrastructure. They also introduce repeatable configuration, state, verification and how to record a change so that another learner can reproduce it.
Practise with one small application throughout the course whenever the recording and platform permit it. Keep an environment inventory containing resource names, versions, endpoints and the purpose of each component. For each lab, write down a success check and a failure case before making changes. The final assignment asks you to document a working deployment, demonstrate an update or automation step and explain how the lab resources will be removed.
The 28 recordings are presented by Gaurav Kumar Jain. This is a guided hosting and infrastructure project course, with multiple platform and application examples. It is not a full beginner course in Linux, programming, every cloud service or the complete DevOps profession. Some projects require provider accounts, suitable account permissions and separately billed resources. Consult the current service interface and dependency requirements when reproducing older recordings, and include resource cleanup in the completion of every lab.
Module Overview
Identify the application stack and hosting environment used by this lesson before reproducing it. A Spring Boot application and a React/Node application have different build and runtime requirements. Trace the path from a domain or endpoint to the running application. Record the application process, listening port and required configuration. Confirm success with an actual request and use the relevant process or server logs to explain a failure.
Lesson Overview: Setting Up Hostinger Domain to Ubuntu/Linux Server: Step-by-Step Guide
Trace how a domain name leads a browser request to the intended hosting environment. Distinguish a DNS record, server address and application listening endpoint. Understand the purpose of each configuration value before copying it into another environment.
Practice Task
Draw the route from a fictional domain to a lab server and application. Record the values that are specific to your environment and a check for name resolution and the final response. If you reproduce the lesson, confirm both steps and record where a failed request stops.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 02
Getting Started: How to Host a Static Website on AWS S3 Bucket - Step-by-Step Practical Guide
Getting Started
Begin with a small application that runs locally and that you understand well enough to test. Keep its dependencies and required environment variables documented. Use a separate lab account or project where possible, and confirm the active region, subscription and command-line context before a deployment. The course fee does not include cloud-provider usage, domains or third-party services. Set an appropriate lab budget and review how each resource is removed. Keep credentials in the platform's supported configuration mechanism rather than in a public repository. For container exercises, confirm that the machine can run the required local tools. Check the versions used by the recording and choose a compatible environment. Run one minimal service first, verify its endpoint and logs, and only then add more components. Keep a local copy of deployment files and a resource inventory for every exercise.
Lesson Overview: How to Host a Static Website on AWS S3 Bucket - Step-by-Step Practical Guide
Identify the website build files, storage or delivery service and endpoint used by the example. Distinguish static content delivery from running a server-side application. Follow how an application resource is located after publication.
Practice Task
Use a small test page or compatible app build to verify the selected hosting path. Check navigation, a relative asset and a page refresh after deployment. Record the endpoint, resource purpose and the steps needed to remove the lab resources.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Begin with a small application that runs locally and that you understand well enough to test. Keep its dependencies and required environment variables documented. Use a separate lab account or project where possible, and confirm the active region, subscription and command-line context before a deployment. The course fee does not include cloud-provider usage, domains or third-party services. Set an appropriate lab budget and review how each resource is removed. Keep credentials in the platform's supported configuration mechanism rather than in a public repository. For container exercises, confirm that the machine can run the required local tools. Check the versions used by the recording and choose a compatible environment. Run one minimal service first, verify its endpoint and logs, and only then add more components. Keep a local copy of deployment files and a resource inventory for every exercise.
Lesson Overview: How to Host a Static Website on AWS S3 Bucket - Step-by-Step Practical Guide
Identify the website build files, storage or delivery service and endpoint used by the example. Distinguish static content delivery from running a server-side application. Follow how an application resource is located after publication.
Practice Task
Use a small test page or compatible app build to verify the selected hosting path. Check navigation, a relative asset and a page refresh after deployment. Record the endpoint, resource purpose and the steps needed to remove the lab resources.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 03
Learning Roadmap: How to Host a Spring Boot Application on Linux Server - Maven, Java 23 Installation & Complete Guide
Learning Roadmap
Start with a hosting track matching your application stack, then work through the AWS and Azure project sections. Record the purpose and dependency of each service in a simple request-flow diagram. Inspect logs and error messages at the component that owns the failure instead of changing several settings at once. Continue with containers and Kubernetes after understanding a basic application process and network endpoint. Separate Jenkins installation from the design and testing of an actual pipeline. Before applying Terraform, identify the resources described by the configuration, inspect the proposed changes and understand where state is kept. Save a working baseline before modifying an environment. A complete lab record includes setup, the application check, the change made, its observed effect and cleanup instructions.
Module Overview
Identify the application stack and hosting environment used by this lesson before reproducing it. A Spring Boot application and a React/Node application have different build and runtime requirements. Trace the path from a domain or endpoint to the running application. Record the application process, listening port and required configuration. Confirm success with an actual request and use the relevant process or server logs to explain a failure.
Lesson Overview: How to Host a Spring Boot Application on Linux Server - Maven, Java 23 Installation & Complete Guide
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Start with a hosting track matching your application stack, then work through the AWS and Azure project sections. Record the purpose and dependency of each service in a simple request-flow diagram. Inspect logs and error messages at the component that owns the failure instead of changing several settings at once. Continue with containers and Kubernetes after understanding a basic application process and network endpoint. Separate Jenkins installation from the design and testing of an actual pipeline. Before applying Terraform, identify the resources described by the configuration, inspect the proposed changes and understand where state is kept. Save a working baseline before modifying an environment. A complete lab record includes setup, the application check, the change made, its observed effect and cleanup instructions.
Module Overview
Identify the application stack and hosting environment used by this lesson before reproducing it. A Spring Boot application and a React/Node application have different build and runtime requirements. Trace the path from a domain or endpoint to the running application. Record the application process, listening port and required configuration. Confirm success with an actual request and use the relevant process or server logs to explain a failure.
Lesson Overview: How to Host a Spring Boot Application on Linux Server - Maven, Java 23 Installation & Complete Guide
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 04
Host Your Spring Boot Website on Windows IIS Server - Step-by-Step Guide for Beginners - Notes and Practice
Lesson Overview: Host Your Spring Boot Website on Windows IIS Server - Step-by-Step Guide for Beginners
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 05
How to Host a React Node Application on AWS IIS Windows Server – Step-by-Step Guide - Notes and Practice
Lesson Overview: How to Host a React Node Application on AWS IIS Windows Server – Step-by-Step Guide
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 06
Deploy a React App to AWS Elastic Beanstalk via EC2 Linux - Full Step-by-Step Tutorial - Notes and Practice
Lesson Overview: Deploy a React App to AWS Elastic Beanstalk via EC2 Linux - Full Step-by-Step Tutorial
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 07
Module Overview: Secure Your Ubuntu Server: Step-by-Step SSL Installation Guide
Module Overview
Use this lesson to connect an observed server behavior with the configuration that controls it. Keep a known working baseline and inspect the relevant domain, certificate, request or server setting before editing. After a change, verify the original application request as well as the specific issue being investigated. Record the symptom, the setting changed and the evidence showing whether the change worked.
Lesson Overview: Secure Your Ubuntu Server: Step-by-Step SSL Installation Guide
Connect the observed HTTPS or request-handling behavior to the server setting responsible for it. Record the domain, certificate or request condition involved, and keep a working configuration before changing anything. Verify the original request as well as the setting being investigated.
Practice Task
Write a troubleshooting note containing the symptom, the relevant log or browser observation, the setting examined and the result after the change. Repeat an ordinary request to confirm that the application still behaves as expected. Keep the lab configuration and resource cleanup documented.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Use this lesson to connect an observed server behavior with the configuration that controls it. Keep a known working baseline and inspect the relevant domain, certificate, request or server setting before editing. After a change, verify the original application request as well as the specific issue being investigated. Record the symptom, the setting changed and the evidence showing whether the change worked.
Lesson Overview: Secure Your Ubuntu Server: Step-by-Step SSL Installation Guide
Connect the observed HTTPS or request-handling behavior to the server setting responsible for it. Record the domain, certificate or request condition involved, and keep a working configuration before changing anything. Verify the original request as well as the setting being investigated.
Practice Task
Write a troubleshooting note containing the symptom, the relevant log or browser observation, the setting examined and the result after the change. Repeat an ordinary request to confirm that the application still behaves as expected. Keep the lab configuration and resource cleanup documented.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 08
Solve 413 Request Entity Too Large Error - Fix 413 Request Entity Too Large Error in Nginx - Notes and Practice
Lesson Overview: Solve 413 Request Entity Too Large Error - Fix 413 Request Entity Too Large Error in Nginx
Connect the observed HTTPS or request-handling behavior to the server setting responsible for it. Record the domain, certificate or request condition involved, and keep a working configuration before changing anything. Verify the original request as well as the setting being investigated.
Practice Task
Write a troubleshooting note containing the symptom, the relevant log or browser observation, the setting examined and the result after the change. Repeat an ordinary request to confirm that the application still behaves as expected. Keep the lab configuration and resource cleanup documented.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Connect the observed HTTPS or request-handling behavior to the server setting responsible for it. Record the domain, certificate or request condition involved, and keep a working configuration before changing anything. Verify the original request as well as the setting being investigated.
Practice Task
Write a troubleshooting note containing the symptom, the relevant log or browser observation, the setting examined and the result after the change. Repeat an ordinary request to confirm that the application still behaves as expected. Keep the lab configuration and resource cleanup documented.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 09
Module Overview: How to Automate S3 with Lambda and Monitor via CloudWatch - Hands-on Tutorial
Module Overview
Draw the participating AWS services and identify the responsibility of each one in the demonstrated application. Trace a request, stored item or event through the project. Keep application code separate from environment-specific identifiers and credentials. Check both the successful path and what happens if configuration or a connected service is unavailable. Maintain a resource list so that the lab can be reproduced and cleaned up.
Lesson Overview: How to Automate S3 with Lambda and Monitor via CloudWatch - Hands-on Tutorial
Trace the event that invokes the function, the resource it reads or changes and the observation recorded in monitoring or logs. Identify the configuration and permissions connecting those steps. Keep an event-triggered action separate from an ordinary browser request.
Practice Task
Prepare a small event-flow diagram and one fictional or lab input. Predict the function result and the log evidence, then compare them with the observed execution where you reproduce the example. Document how to identify a missing event, failed action or unavailable resource.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Draw the participating AWS services and identify the responsibility of each one in the demonstrated application. Trace a request, stored item or event through the project. Keep application code separate from environment-specific identifiers and credentials. Check both the successful path and what happens if configuration or a connected service is unavailable. Maintain a resource list so that the lab can be reproduced and cleaned up.
Lesson Overview: How to Automate S3 with Lambda and Monitor via CloudWatch - Hands-on Tutorial
Trace the event that invokes the function, the resource it reads or changes and the observation recorded in monitoring or logs. Identify the configuration and permissions connecting those steps. Keep an event-triggered action separate from an ordinary browser request.
Practice Task
Prepare a small event-flow diagram and one fictional or lab input. Predict the function result and the log evidence, then compare them with the observed execution where you reproduce the example. Document how to identify a missing event, failed action or unavailable resource.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 10
React AWS Amplify Authentication Tutorial - Full Code Walkthrough with Login, Signup & SignOut - Notes and Practice
Lesson Overview: React AWS Amplify Authentication Tutorial - Full Code Walkthrough with Login, Signup & SignOut
Follow the sign-in, sign-out or registration flow and distinguish the application interface from the authentication service. Identify which state changes after a successful action and how the app determines the current user state.
Practice Task
Map one fictional-user flow and test a normal action, an invalid or missing input and a sign-out or repeat action. Record the service configuration and expected screen state. Explain which part is provided by the managed service and which part is application behavior.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Follow the sign-in, sign-out or registration flow and distinguish the application interface from the authentication service. Identify which state changes after a successful action and how the app determines the current user state.
Practice Task
Map one fictional-user flow and test a normal action, an invalid or missing input and a sign-out or repeat action. Record the service configuration and expected screen state. Explain which part is provided by the managed service and which part is application behavior.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 11
Build & Host a React Task Manager App with AWS + Social Sharing - S3 & CloudFront - Notes and Practice
Lesson Overview: Build & Host a React Task Manager App with AWS + Social Sharing - S3 & CloudFront
Identify the website build files, storage or delivery service and endpoint used by the example. Distinguish static content delivery from running a server-side application. Follow how an application resource is located after publication.
Practice Task
Use a small test page or compatible app build to verify the selected hosting path. Check navigation, a relative asset and a page refresh after deployment. Record the endpoint, resource purpose and the steps needed to remove the lab resources.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the website build files, storage or delivery service and endpoint used by the example. Distinguish static content delivery from running a server-side application. Follow how an application resource is located after publication.
Practice Task
Use a small test page or compatible app build to verify the selected hosting path. Check navigation, a relative asset and a page refresh after deployment. Record the endpoint, resource purpose and the steps needed to remove the lab resources.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 12
Host a Viral React App with AWS DynamoDB from Scratch - Full Tutorial + Live Hosting - Notes and Practice
Lesson Overview: Host a Viral React App with AWS DynamoDB from Scratch - Full Tutorial + Live Hosting
Identify the source records, destination store and application access pattern used by the example. Explain the meaning of an item or row and the configuration that connects the application to the database. Check the result with a small known dataset before considering a larger transfer or application flow.
Practice Task
Use fictional practice records and record an expected count or query result. Compare the source and destination or the application response as appropriate. Test a missing record or a controlled invalid input and document the configuration and cleanup needed to reproduce the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the source records, destination store and application access pattern used by the example. Explain the meaning of an item or row and the configuration that connects the application to the database. Check the result with a small known dataset before considering a larger transfer or application flow.
Practice Task
Use fictional practice records and record an expected count or query result. Compare the source and destination or the application response as appropriate. Test a missing record or a controlled invalid input and document the configuration and cleanup needed to reproduce the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 13
Build a Real-Time Chat App with Sentiment Analysis Using AWS Comprehend - Full Code Walkthrough! - Notes and Practice
Lesson Overview: Build a Real-Time Chat App with Sentiment Analysis Using AWS Comprehend - Full Code Walkthrough!
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 14
Build a Smart Language Learning App with AWS Services & React! - Notes and Practice
Lesson Overview: Build a Smart Language Learning App with AWS Services & React!
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 15
Module Overview: How to build a chatbot with Microsoft Azure AI - Azure AI Essentials
Module Overview
Identify whether this Azure example is about application publishing, an AI-service interaction or database migration. These workflows have different prerequisites and success checks. Record the selected subscription or project, the resource purpose and the expected endpoint or data result. Test a small input or record set first, then verify the full demonstrated action. Keep credentials and practice records separate from public project material.
Lesson Overview: How to build a chatbot with Microsoft Azure AI - Azure AI Essentials
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify whether this Azure example is about application publishing, an AI-service interaction or database migration. These workflows have different prerequisites and success checks. Record the selected subscription or project, the resource purpose and the expected endpoint or data result. Test a small input or record set first, then verify the full demonstrated action. Keep credentials and practice records separate from public project material.
Lesson Overview: How to build a chatbot with Microsoft Azure AI - Azure AI Essentials
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 16
Summarize Data In Azure - Notes and Practice
Lesson Overview: Summarize Data In Azure
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application input, the cloud service called and the result returned to the interface or workflow. Distinguish service configuration from the code that formats the request and displays the response. Review the behavior for an unavailable or empty result.
Practice Task
Choose a short fictional text input and describe the expected type of result. Trace that input through the demonstrated service connection and compare the returned value with what the application displays. Record a service-failure or empty-response test and the resources used by the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 17
Publishing & Deploying Azure Project - Notes and Practice
Lesson Overview: Publishing & Deploying Azure Project
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 18
How to deploy files to Microsoft Azure App service web using GitHub - Notes and Practice
Lesson Overview: How to deploy files to Microsoft Azure App service web using GitHub
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 19
How to deploy asp.net web application in azure - Notes and Practice
Lesson Overview: How to deploy asp.net web application in azure
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the application stack, build result and runtime environment in this deployment example. Record the process or service that runs the application, the configuration it needs and how a browser or client reaches it. Treat other stacks in the course as alternative tracks with their own requirements.
Practice Task
Deploy or review one small application matching your existing stack and verify its central request. Document the versions, endpoint, startup step and relevant logs. Make one controlled update and confirm the changed behavior, then record the cleanup procedure.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 20
Sql Database Migration To Azure - Notes and Practice
Lesson Overview: Sql Database Migration To Azure
Identify the source records, destination store and application access pattern used by the example. Explain the meaning of an item or row and the configuration that connects the application to the database. Check the result with a small known dataset before considering a larger transfer or application flow.
Practice Task
Use fictional practice records and record an expected count or query result. Compare the source and destination or the application response as appropriate. Test a missing record or a controlled invalid input and document the configuration and cleanup needed to reproduce the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the source records, destination store and application access pattern used by the example. Explain the meaning of an item or row and the configuration that connects the application to the database. Check the result with a small known dataset before considering a larger transfer or application flow.
Practice Task
Use fictional practice records and record an expected count or query result. Compare the source and destination or the application response as appropriate. Test a missing record or a controlled invalid input and document the configuration and cleanup needed to reproduce the lab.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 21
Module Overview: install kubernetes on windows - Docker - Kubectl - Minikube
Module Overview
Separate the roles of the container runtime, image, command-line client and local cluster. Verify that a minimal local deployment is healthy before troubleshooting a larger application. Inspect the workload and service that make a component reachable, and check the active cluster context before applying a file. Explain which failure belongs to the application and which belongs to its container or deployment configuration.
Lesson Overview: install kubernetes on windows - Docker - Kubectl - Minikube
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Separate the roles of the container runtime, image, command-line client and local cluster. Verify that a minimal local deployment is healthy before troubleshooting a larger application. Inspect the workload and service that make a component reachable, and check the active cluster context before applying a file. Explain which failure belongs to the application and which belongs to its container or deployment configuration.
Lesson Overview: install kubernetes on windows - Docker - Kubectl - Minikube
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 22
Robot Shopping Cart on Kubernetes-Docker - Notes and Practice
Lesson Overview: Robot Shopping Cart on Kubernetes-Docker
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 23
How to Deploy a React + Node App on Kubernetes Cluster (AWS EKS Tutorial) - Notes and Practice
Lesson Overview: How to Deploy a React + Node App on Kubernetes Cluster (AWS EKS Tutorial)
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the container, workload and service used by the example and how the application becomes reachable. Distinguish the local toolchain from a hosted cluster and confirm which context the commands target. Use workload status and logs to separate application and deployment failures.
Practice Task
Follow one small component from its configuration to its running endpoint. Change a harmless application setting or replica-related practice value only after saving a working baseline. Record the health check, observed response and cleanup steps for the selected environment.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 24
Module Overview: How to Install and Use Jenkins
Module Overview
Distinguish installing a tool from building a verified deployment workflow. Identify the input to the job, the action performed and the evidence of success. For a hosted-agent or account-capacity error, read the specific message and its account context before changing application code. Keep one small reproducible job or deployment as a baseline and record where its output and logs are inspected.
Lesson Overview: How to Install and Use Jenkins
Identify the installation, job or account-capacity issue addressed by the recording. Separate a working tool installation from a complete tested pipeline. Locate the relevant output or error message and explain what action it confirms or prevents.
Practice Task
Create or review one small reproducible job and identify its input, execution step and result. For the hosted-parallelism troubleshooting example, record the account condition described by the error and the evidence that it is resolved. Retest the original workflow after the change.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Distinguish installing a tool from building a verified deployment workflow. Identify the input to the job, the action performed and the evidence of success. For a hosted-agent or account-capacity error, read the specific message and its account context before changing application code. Keep one small reproducible job or deployment as a baseline and record where its output and logs are inspected.
Lesson Overview: How to Install and Use Jenkins
Identify the installation, job or account-capacity issue addressed by the recording. Separate a working tool installation from a complete tested pipeline. Locate the relevant output or error message and explain what action it confirms or prevents.
Practice Task
Create or review one small reproducible job and identify its input, execution step and result. For the hosted-parallelism troubleshooting example, record the account condition described by the error and the evidence that it is resolved. Retest the original workflow after the change.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 25
No hosted parallelism has been purchased or granted error resolved - Notes and Practice
Lesson Overview: No hosted parallelism has been purchased or granted error resolved
Identify the installation, job or account-capacity issue addressed by the recording. Separate a working tool installation from a complete tested pipeline. Locate the relevant output or error message and explain what action it confirms or prevents.
Practice Task
Create or review one small reproducible job and identify its input, execution step and result. For the hosted-parallelism troubleshooting example, record the account condition described by the error and the evidence that it is resolved. Retest the original workflow after the change.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Identify the installation, job or account-capacity issue addressed by the recording. Separate a working tool installation from a complete tested pipeline. Locate the relevant output or error message and explain what action it confirms or prevents.
Practice Task
Create or review one small reproducible job and identify its input, execution step and result. For the hosted-parallelism troubleshooting example, record the account condition described by the error and the evidence that it is resolved. Retest the original workflow after the change.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 26
Module Overview: Terraform Coding Explained
Module Overview
Read the infrastructure configuration before applying it. Identify the provider, resources, variables, dependencies and state used by the example. Compare the proposed changes with the intended lab design and record the active account and region. A working exercise includes both successful creation and an understood cleanup path. Explain a resource relationship and make one small deliberate configuration change rather than treating the file as an unexplained script.
Lesson Overview: Terraform Coding Explained
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Read the infrastructure configuration before applying it. Identify the provider, resources, variables, dependencies and state used by the example. Compare the proposed changes with the intended lab design and record the active account and region. A working exercise includes both successful creation and an understood cleanup path. Explain a resource relationship and make one small deliberate configuration change rather than treating the file as an unexplained script.
Lesson Overview: Terraform Coding Explained
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 27
Create virtual machine on Azure using Terraform - Notes and Practice
Lesson Overview: Create virtual machine on Azure using Terraform
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Topic 28
Final Project and Completion Guide: Create a hub and spoke hybrid network topology in Azure using Terraform
Lesson Overview: Create a hub and spoke hybrid network topology in Azure using Terraform
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Final Project and Completion Guide
Choose one application and one suitable deployment track from the course. Produce a working lab deployment with a clear endpoint and a short component diagram. Record configuration requirements, dependency versions and the commands or console actions needed to reproduce it. Demonstrate one update, container deployment or Terraform-based infrastructure change suited to your selected track. Verify both a normal application request and a controlled failure such as missing configuration or an unavailable backend. Include the relevant log evidence and explain the fix. Submit the deployment files, a concise operating guide, a resource inventory and a cleanup procedure. Assess reproducibility, correct application behavior, understandable service responsibilities and the ability to explain an automation or infrastructure step. The assignment demonstrates the selected hosting and lab skills rather than professional certification in every named platform.
Read the Terraform example as a description of infrastructure resources and their relationships. Identify provider configuration, variable values, dependencies and state. Understand the proposed resource changes before considering their application to a lab account.
Practice Task
Draw the intended lab resources and annotate the configuration values that connect them. Review a plan in an appropriate practice environment and describe one small change and its expected effect. Document how the resources and associated lab state are managed and removed.
What to Check
Verify the relevant endpoint, workload, log or resource result. Record the environment, the change made and the cleanup path, so that another learner can reproduce the lab.
Final Project and Completion Guide
Choose one application and one suitable deployment track from the course. Produce a working lab deployment with a clear endpoint and a short component diagram. Record configuration requirements, dependency versions and the commands or console actions needed to reproduce it. Demonstrate one update, container deployment or Terraform-based infrastructure change suited to your selected track. Verify both a normal application request and a controlled failure such as missing configuration or an unavailable backend. Include the relevant log evidence and explain the fix. Submit the deployment files, a concise operating guide, a resource inventory and a cleanup procedure. Assess reproducibility, correct application behavior, understandable service responsibilities and the ability to explain an automation or infrastructure step. The assignment demonstrates the selected hosting and lab skills rather than professional certification in every named platform.
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