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AWS Cloud Projects

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AWS Cloud Projects

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop a professional CV website using AWS fundamentals

  • Build a recipe-sharing application with AWS serverless tools

  • Create an AI-powered photo analyzer using Amazon Recognition

Details to know

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Recently updated!

January 2026

Assessments

9 assignments

Taught in English

There are 9 modules in this course

This course is designed to enhance your AWS skills through practical, hands-on projects. You'll master AWS cloud services, gaining expertise in deploying scalable applications, integrating AI, and automating workflows. With each project, you'll build a strong portfolio and gain relevant skills that will set you apart in the competitive tech industry.

As you work through the eight projects, you will learn key AWS services and how to use them effectively. You will gain practical skills by building and deploying real-world applications, which will not only strengthen your technical knowledge but also provide the experience needed for professional growth. This course stands out by combining theoretical AWS knowledge with real-world applications. You’ll develop practical cloud skills through guided projects, which will provide a deeper understanding of how AWS services can be leveraged in various use cases. This course is ideal for students, software developers, and IT professionals seeking to expand their cloud experience. A basic understanding of programming is helpful, but no prior AWS knowledge is required.

In this section, we explore deploying and interacting with AWS services using the console, CLI, SDKs, and IaC tools, emphasizing practical skills for efficient cloud management.

What's included

2 videos6 readings1 assignment

2 videos•Total 2 minutes
  • Course Overview•1 minute
  • Deploying and Interacting with AWS Services - Overview Video•1 minute
6 readings•Total 110 minutes
  • Introduction•10 minutes
  • Selecting a Service•10 minutes
  • Getting Started with AWS Console•30 minutes
  • Using the AWS CLI•30 minutes
  • Understanding IaC•10 minutes
  • Using Terraform•20 minutes
1 assignment•Total 10 minutes
  • Deploying and Interacting with AWS Services•10 minutes

In this section, we explore creating a personal website using AWS S3 and CloudFront, focusing on deployment, security, and optimization for scalable online presence.

What's included

1 video4 readings1 assignment

1 video•Total 1 minute
  • Creating a Personal Website - Overview Video•1 minute
4 readings•Total 120 minutes
  • Introduction•30 minutes
  • Amazon CloudWatch Metrics•30 minutes
  • Publishing the Website•30 minutes
  • Implementing Custom DNS•30 minutes
1 assignment•Total 10 minutes
  • Building and Managing a Personal Website•10 minutes

In this section, we build a recipe-sharing web application using S3, CloudFront, EC2, and DynamoDB, focusing on secure deployment and integration of frontend and backend components.

What's included

1 video8 readings1 assignment

1 video•Total 1 minute
  • Building a Recipe-Sharing Application - Overview Video•1 minute
8 readings•Total 190 minutes
  • Introduction•30 minutes
  • Data Requirements•20 minutes
  • Amazon S3•10 minutes
  • Cloning the Project•20 minutes
  • Certificate Issuing•30 minutes
  • Additional configurations (option 1 only)•30 minutes
  • Testing and Exploring the Backend•20 minutes
  • Cleaning up•30 minutes
1 assignment•Total 10 minutes
  • Building a Recipe-Sharing Application•10 minutes

In this section, we explore rearchitecting a recipe-sharing application using serverless technologies, focusing on AWS Lambda, API Gateway, and Cognito for scalable, event-driven, and secure backend solutions.

What's included

1 video7 readings1 assignment

1 video•Total 1 minute
  • Building a Serverless Recipe-Sharing Application - Overview Video•1 minute
7 readings•Total 160 minutes
  • Introduction•30 minutes
  • Architecture Patterns•20 minutes
  • API Gateway•30 minutes
  • Configs Tsx•30 minutes
  • Admin Page•20 minutes
  • Testing and Exploring the Backend•20 minutes
  • Clean up•10 minutes
1 assignment•Total 10 minutes
  • Serverless Application Fundamentals•10 minutes

In this section, we explore implementing a serverless image analyzer using AWS ML services. Key concepts include Terraform, Python, and Amazon Rekognition for photo quality assessment.

What's included

1 video3 readings1 assignment

1 video•Total 1 minute
  • Implementing an Image Analyzer to Detect Photo Friendliness - Overview Video•1 minute
3 readings•Total 90 minutes
  • Introduction•30 minutes
  • Amazon API Gateway and AWS Lambda•30 minutes
  • Understanding the Image Analyzer Code•30 minutes
1 assignment•Total 10 minutes
  • Image Analyzer Implementation Fundamentals•10 minutes

In this section, we cover building a multilingual web app with AWS and CI/CD.

What's included

1 video4 readings1 assignment

1 video•Total 1 minute
  • Architecting a Content Translation Pipeline - Overview Video•1 minute
4 readings•Total 90 minutes
  • Introduction•30 minutes
  • Coding the Solution•20 minutes
  • Building the CI/CD Pipeline•30 minutes
  • Testing the solution•10 minutes
1 assignment•Total 10 minutes
  • Building and Managing Multilingual Web Applications•10 minutes

In this section, we implement a meeting-scheduling chatbot using Amazon Lex and AWS CloudFormation, focusing on NLP integration and real-world AI deployment.

What's included

1 video5 readings1 assignment

1 video•Total 1 minute
  • Implementing a Chatbot Using Machine Learning - Overview Video•1 minute
5 readings•Total 140 minutes
  • Introduction•30 minutes
  • Architecture•20 minutes
  • Frontend Configuration and Deployment•30 minutes
  • Test and Explore Your Application•30 minutes
  • Manage Meeting Requests through the Admin Portal•30 minutes
1 assignment•Total 10 minutes
  • Chatbot Development Fundamentals•10 minutes

In this section, we build a business intelligence application using AWS services like Glue, Athena, and QuickSight to process and visualize clickstream data for user behavior insights.

What's included

1 video6 readings1 assignment

1 video•Total 1 minute
  • Building a Business Intelligence Application - Overview Video•1 minute
6 readings•Total 120 minutes
  • Introduction•20 minutes
  • Amazon Simple Storage Service (S3)•10 minutes
  • Solution Deployment•30 minutes
  • The Glue ETL Job•20 minutes
  • Data visualization with QuickSight•30 minutes
  • Clean up•10 minutes
1 assignment•Total 10 minutes
  • Building a Business Intelligence Application•10 minutes

In this section, we explore AWS service trade-offs, cost estimation with the AWS Pricing Calculator, and scalable architecture design for real-world applications.

What's included

1 video4 readings1 assignment

1 video•Total 1 minute
  • Exploring Future Work - Overview Video•1 minute
4 readings•Total 80 minutes
  • Introduction•20 minutes
  • Generative AI•20 minutes
  • Event-driven•20 minutes
  • AWS re:Post•20 minutes
1 assignment•Total 10 minutes
  • Exploring Future Work in Cloud Technologies•10 minutes

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,