AWS Cloud Projects

AWS Cloud Projects

Instructor: Packt - Course Instructors

Access provided by Abu Dhabi National Oil Company

9 modules

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

9 modules

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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Assessments

9 assignments

Taught in English

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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

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

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

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.