Course overview
Description generated based on course syllabus and open data.
This material introduces newcomers to AWS with an emphasis on cloud‑native concepts, serverless patterns, and data storage. Examples are grounded in practical Amazon Web Services scenarios.
What is AWS for beginners: cloud‑native basics
Overview of cloud compute models, regions and availability zones, reliability, scaling, and cost awareness in a public cloud.
Core AWS services for beginners
- EC2 — virtual machines for compute and containers.
- S3 — object storage for static assets and backups.
- RDS and DynamoDB — managed relational and NoSQL databases.
- Lambda — serverless execution without managing servers.
- IAM — access policies, roles, and least‑privilege principles.
- CloudWatch, CloudFormation/Terraform (IaC), Docker — observability, infrastructure as code, and automation.
AWS for beginners: who it suits and who should not start with this track
Who should consider it
- Entry‑level web/backend developers moving to cloud‑native.
- Junior QA/DevOps engineers building an AWS foundation.
- On‑prem specialists planning a cloud migration.
Who should not
- Those expecting immediate deep production‑level DevOps or SRE coverage.
- Users without basic networking, Linux, and version control knowledge.
- Those seeking theory only without hands‑on tasks.
Typical problems and expected outcome in AWS for beginners
- Problem: unclear service landscape.
Outcome: a map of core AWS services with usage scenarios. - Problem: manual deployments causing config drift.
Outcome: a basic Docker + IaC (CloudFormation/Terraform) pipeline for reproducible releases. - Problem: access and security setup.
Outcome: minimal IAM policies, roles, and event auditing. - Problem: data storage and backups.
Outcome: S3 with versioning and baseline backups for RDS/DynamoDB.
AWS for beginners compared with alternatives
- Microsoft Azure — strong Microsoft ecosystem integration; similar managed services with different terminology and console UX.
- Google Cloud Platform — strengths in managed data and analytics; different IAM and networking models.
- On‑prem/self‑hosting — full control without vendor lock‑in, but higher operational overhead and slower scaling.
Learning outcomes with AWS for beginners
- Understanding of cloud‑native fundamentals and key Amazon Web Services.
- Ability to deploy a simple serverless or containerized app with data storage.
- Baseline skills in security, monitoring, and automation on AWS.
- Readiness for deeper topics: CI/CD, Kubernetes, multi‑region architectures.
Course Description
Learn how to work with cloud-native systems and build your own application for data storage in the AWS system. Amazon Web Services is the largest and most developed cloud service provider as of 2022, with 200+ services and 33% of the total market. For comparison: Microsoft Azure - 21%, Google Cloud Platform - 8%. AWS allows you to easily scale your infrastructure up or down, deploy software instantly, which helps you respond quickly to market changes.
In the course, you will learn how to develop and implement various cloud architectures using AWS services. In 12 online classes and 12 practical assignments, you will be able to complete the full development cycle using cloud services, get the necessary tools to move to a serverless architecture, and create your own application in AWS.Lecturer:
Dmytro KhmelenkoSenior Backend Developer at Preply12 years in development: worked at Freeletics, which develops training based on artificial intelligence; built customer identification systems for Shopify marketing tasks; also worked at MobiLab Solutions GmbH and Mobile Effort IT ServicesReceived four official certifications from AWSAuthor of 2 books - Unlock the Code: The Ultimate Guide to Advancing from Junior to Senior Software Engineer in 7 Actionable Steps and AWS Essentials: Key Components To Launching Your First Cloud Application
