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.
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
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
Skills you'll gain
- Terraform
- Amazon Web Services
- Cloud Platforms
- AWS CloudFormation
- Serverless Computing
- Web Development
- Amazon S3
- Cloud Applications
- Cloud Computing Architecture
- Amazon DynamoDB
- Amazon Elastic Compute Cloud
- Business Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Cloud Infrastructure
- Cloud Services
- Application Development
- CI/CD
- Infrastructure as Code (IaC)
- API Gateway
- Cloud Development
Details to know
Shareable certificate
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Recently updated!
January 2026
Assessments
9 assignments
Taught in English
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There are 9 modules in this course
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
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
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
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
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
In this section, we cover building a multilingual web app with AWS and CI/CD.
What's included
1 video4 readings1 assignment
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
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
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
Instructor
Offered by
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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.
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Financial aid available,