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Mastering AWS Architect Competencies: System Construction, Security Enhancement, and Scaling

This course is designed to help learners build solid AWS cloud engineering and architecture skills through hands-on projects and practical demonstrations. Students will learn how to build secure AWS environments, manage scalable computing infrastructure using EC2 and Auto Scaling, configure networking via VPC and Load Balancers, and implement cloud-native storage and database solutions using S3, Aurora, and MySQL. Throughout the course, I will guide students step-by-step using hands-on labs, architectural explanations, and real-world deployment scenarios commonly used in modern cloud environments. I focus on simplifying complex AWS concepts into easy-to-understand lessons while helping students avoid common mistakes made during cloud deployment, security configuration, and infrastructure scaling. By the end of this course, students will not only gain the confidence to design secure, scalable, and cost-effective solutions on AWS but will also be prepared for the AWS Solutions Architect Associate certification exam.

4 learners are taking this course

Level Basic

Course period Unlimited

AWS
AWS
aws-ec2
aws-ec2
amazon-s3
amazon-s3
cloud-computing
cloud-computing
aws-serverless
aws-serverless
AWS
AWS
aws-ec2
aws-ec2
amazon-s3
amazon-s3
cloud-computing
cloud-computing
aws-serverless
aws-serverless

What you will gain after the course

  • Design a scalable and highly available AWS architecture using EC2, Auto Scaling, Load Balancer, and VPC.

  • Configure a secure AWS environment by utilizing IAM users, IAM roles, and security best practices.

  • Build and manage cloud storage solutions using Amazon S3, EBS, and EFS.

  • Deploy relational databases and infrastructure automation using Aurora, MySQL, and AWS CloudFormation.

  • Create serverless applications using AWS Lambda, Cognito, ECS Fargate, and AWS SAM.

AWS Cloud Architect Mastery: Building Real-World Cloud Systems, Enhancing Security, and Scaling

Master the latest AWS cloud engineering skills by building scalable infrastructure using EC2, VPC, Auto Scaling, S3, Aurora, Lambda, and serverless technologies utilized by startups and large enterprises worldwide.


This course is designed for learners who want to gain hands-on experience with AWS architecture through practical labs and real-world deployment workflows, rather than just theoretical explanations. Throughout the course, students will build secure cloud environments, configure scalable computing systems, manage cloud storage and databases, and deploy modern serverless applications.


This course was designed to clear up the confusion beginners often face when learning AWS. Instead of memorizing individual services, learners will follow a systematic, project-based workflow similar to real-world cloud engineering environments. The goal is to help students easily understand complex AWS concepts while supporting them in gaining practical deployment experience and the skills necessary for certification.

What You’ll Learn

Section (1): Core Keywords

AWS Basics • EC2 • IAM • VPC • Auto Scaling


Students begin the course by learning the fundamentals of AWS cloud computing, including secure account configuration, IAM users and roles, and AWS security best practices.


The course then moves on to practical computing infrastructure using Amazon EC2, where learners will perform the following:


Launch and configure virtual servers

Creating SSH key pairs

Deploying web servers

Managing EBS and EFS storage

Creating reusable AMIs


Additionally, students will design scalable and high-availability architectures using the following:


Auto Scaling Groups

Elastic Load Balancer

Amazon VPC Networking

Configuring Secure Cloud Networking

Section (2): Core Keywords

Amazon S3 • Aurora • Lambda • CloudFormation • Serverless


In the latter half of this course, you will build modern cloud-native architectures by leveraging AWS storage, database, automation, and serverless services.


Key topics include:


Amazon S3 Object Storage

Bucket policies and encryption

Lifecycle Management

Version control and cloud storage best practices

Amazon Aurora relational database

MySQL Configuration and Management

Infrastructure automation using AWS CloudFormation


Additionally, students will explore advanced serverless development utilizing the following:


AWS Lambda

AWS SAM

Amazon Cognito

ECS Fargate Container Service


Upon completion of the course, students will understand how to design secure, scalable, and cost-optimized AWS systems that align with the AWS Solutions Architect Associate certification objectives.

Before You Enroll

Prerequisites and Information

Advanced cloud experience is not required.

Basic computer knowledge and an understanding of operating systems are recommended.

Prior programming or networking knowledge is helpful but not required.


Course Quality and Learning Experience:


High-quality video lectures with step-by-step explanations

Hands-on AWS demos and practice labs

Actual cloud deployment workflows

Beginner-friendly explanations that gradually increase in difficulty


Recommended Learning Method:


Practice using each AWS service directly while watching the lectures.

Complete all hands-on labs and assignments

Carefully review the architecture diagram before the deployment practice.


Learner Support and Updates:


Learners can ask questions at any time during the course.

This course may be updated in the future to reflect the latest AWS services and architectural best practices.

Additional lectures and improvements may be provided over time to help you prepare for certification and acquire practical cloud engineering skills.

Recommended for
these people

Who is this course right for?

  • Beginners who are starting to learn AWS cloud computing and want to develop cloud engineering skills that can be applied immediately in practice.

  • Developers and IT professionals preparing to obtain the AWS Solutions Architect Associate certification.

  • Students who want hands-on experience building actual AWS infrastructure themselves, rather than simply learning theory.

  • System administrators and backend developers interested in cloud architecture, scalability, and serverless technology.

Need to know before starting?

  • Basic computer knowledge and an understanding of operating systems are recommended. Experience in programming or cloud-related fields is helpful but not required, as this course provides step-by-step explanations of AWS concepts, ranging from the basics to advanced cloud architecture topics.

Hello
This is kimw24072

CEO of Answernus - Instructor for 5 regular IT courses at Multicampus (RPA & ChatGPT & Crawling & AI & PE) - Instructor for 5 regular Generative AI courses at Korea Management Association (RPA & ChatGPT & Crawling & AI & Data Processing) - Author of [2022 Sejong Book Award Selection] "Money-Making Python Coding for Non-IT Majors" - Author of [2023 Sejong Book Award Selection] "Python Business Automation (RPA) for Non-IT Majors" - Operator of the "Bihyeonko Automation Lab" YouTube channel - Conducted lectures for numerous major corporations and public enterprises including Samsung, Hyundai, SK, KT, and LG - Cumulative 6,600+ learners in offline Generative AI education & 500+ hands-on project coaching cases [As of 2024.12] - IT Education Consultant & Instructor at Samsung Group Multicampus - AI Education Planning / Operations at Hyundai Steel HRD, Hyundai Motor Group - 12 years of professional experience as a non-developer at Hyundai Steel, Hyundai Motor Group (Sales, Planning, System Design, HRD, etc.)
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Curriculum

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53 lectures ∙ (6hr 33min)

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