AWS Cloud Projects

AWS Cloud Projects

位教师：Packt - Course Instructors

访问权限由 New York State Department of Labor 提供

9个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

9个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

9 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有9个模块

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.

涵盖的内容

2个视频6篇阅读材料1个作业

2个视频总计2分钟

Course Overview 1分钟
Deploying and Interacting with AWS Services - Overview Video 1分钟

6篇阅读材料总计110分钟

Introduction 10分钟
Selecting a Service 10分钟
Getting Started with AWS Console 30分钟
Using the AWS CLI 30分钟
Understanding IaC 10分钟
Using Terraform 20分钟

1个作业总计10分钟

Deploying and Interacting with AWS Services 10分钟

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

涵盖的内容

1个视频4篇阅读材料1个作业

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.

涵盖的内容

1个视频8篇阅读材料1个作业

1个视频总计1分钟

Building a Recipe-Sharing Application - Overview Video 1分钟

8篇阅读材料总计190分钟

Introduction 30分钟
Data Requirements 20分钟
Amazon S3 10分钟
Cloning the Project 20分钟
Certificate Issuing 30分钟
Additional configurations (option 1 only) 30分钟
Testing and Exploring the Backend 20分钟
Cleaning up 30分钟

1个作业总计10分钟

Building a Recipe-Sharing Application 10分钟

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.

涵盖的内容

1个视频7篇阅读材料1个作业

1个视频总计1分钟

Building a Serverless Recipe-Sharing Application - Overview Video 1分钟

7篇阅读材料总计160分钟

Introduction 30分钟
Architecture Patterns 20分钟
API Gateway 30分钟
Configs Tsx 30分钟
Admin Page 20分钟
Testing and Exploring the Backend 20分钟
Clean up 10分钟

1个作业总计10分钟

Serverless Application Fundamentals 10分钟

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.

涵盖的内容

1个视频3篇阅读材料1个作业

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

涵盖的内容

1个视频4篇阅读材料1个作业

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

涵盖的内容

1个视频5篇阅读材料1个作业

1个视频总计1分钟

Implementing a Chatbot Using Machine Learning - Overview Video 1分钟

5篇阅读材料总计140分钟

Introduction 30分钟
Architecture 20分钟
Frontend Configuration and Deployment 30分钟
Test and Explore Your Application 30分钟
Manage Meeting Requests through the Admin Portal 30分钟

1个作业总计10分钟

Chatbot Development Fundamentals 10分钟

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.

涵盖的内容

1个视频6篇阅读材料1个作业

1个视频总计1分钟

Building a Business Intelligence Application - Overview Video 1分钟

6篇阅读材料总计120分钟

Introduction 20分钟
Amazon Simple Storage Service (S3) 10分钟
Solution Deployment 30分钟
The Glue ETL Job 20分钟
Data visualization with QuickSight 30分钟
Clean up 10分钟

1个作业总计10分钟

Building a Business Intelligence Application 10分钟

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