Course for beginners of AWS (Amazon Web Service)

Learn AWS core technologies from the basics!

Lecture Introduction 📝

First of all, why should you learn cloud computing? Let's assume that you are working or want to work as a data engineer or cloud engineer in a company. If you use cloud computing, the company does not need any physical server equipment, so you can greatly reduce the cost of server maintenance and management. In addition, since you can automatically increase and decrease the scale of the server, you can enjoy the benefit of cost savings here as well. There are numerous resources in AWS services, and by combining each resource into one, we can build a huge infrastructure. It would be appropriate to use the metaphor of piecing together a puzzle that is scattered one by one.

Before you can skillfully use the numerous but essential services provided by AWS, we will provide you with a thorough guide that will teach you the basic theories that you must know and practice with the instructor from start to finish . If you take this course, you will be able to proudly say that you have built up a basic understanding of AWS .

Lecture Content 📚

In this course for beginners to AWS (Amazon Web Service), you can learn about the following services:

1. IAM : You can learn how to create users/groups and manage various management methods required for using AWS.

2. EC2 : You can create a simple website using nginx by creating an instance remotely, and learn about the various types of instances and how to create them .

3. RDS : AWS provides various database services such as MySQL and PostgresDB. Learn how to use databases in AWS and learn important concepts (backup, security, etc.) for operating databases.

4. S3 : One of the oldest services in AWS, and mainly used for uploading and downloading files (objects). However, there are many storage types in S3, and you need to understand their differences so that you can use the service you want when you need it. Therefore, you can benefit from cost and performance. You can learn how to use S3 and various approaches.

5. CloudWatch : Provides basic, yet very powerful functions that you will definitely encounter if you use cloud services. It delivers necessary information to developers through real-time system logging services and alarm setting functions . This enables easy debugging. It enables more efficient AWS management through various metrics.

6. Lambda : When numerous events within AWS are triggered, the implemented Lambda function is executed, enabling preprocessing as well as being used to call up other AWS resources. In particular , Lambda plays a very central role in designing serverless architecture.

7. CloudFront : It is based on Content Delivery Network (CDN) and is a resource required to provide the best service to users scattered around the world . The settings required for initial implementation are somewhat complicated, but very convenient functions are provided afterwards. If you have some network knowledge, it is much easier to understand CloudFront.

8. DynamoDB : This is a NoSQL database provided by AWS. It is a service suitable for loading batch data and stream data, and it is a very useful database that combines the powerful advantages that only NoSQL has . In this lecture, we will learn about the differences from existing relational databases and the advantages that only DynamoDB has.

9. API Gateway : You can create your own API using API Gateway, call and test various methods provided by RestAPI, and merge with various resources provided by AWS (e.g. Lambda Function) to create and maintain more sophisticated pipelines. APIs used on the actual web can also be implemented through API Gateway.

10. CI/CD : Software and application deployment is not a one-time thing. It requires continuous maintenance and management. By learning about AWS resources that make this very easy, such as Code Commit, Code Deploy, and Code Pipeline , you can understand the overall software development and deployment process and experience building a CI/CD pipeline through AWS. You can upload your own code to a repository and easily maintain code through branches. Learn about various deployment methods provided by AWS. Representative examples include the Rolling deployment method and the Blue/Green deployment method.

Books recommended by instructors

Introduction to AWS for Work - by Seongmin Kim ( Link )

An easy-to-get-started AWS guide with key resources

A lecture that will be helpful if you learn it in advance ✨

Python lecture by Simon Kim, knowledge sharer

1 Lecture for Python beginners