Udemy – Ultimate DevOps Real-World Project Implementation AWS Cloud 2026-1

Updated August 10, 2026 21.7 GB

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Description

Ultimate DevOps Real-World Project Implementation AWS Cloud Course. This specialized course teaches practical and comprehensive implementation of DevOps projects on the AWS cloud platform. The content is based on the implementation of a real retail store project with a microservice architecture, which includes more than five services with different programming languages. The training progresses through more than fifty-five practical demonstrations and focuses on solving common challenges in professional environments. A significant part of the course is dedicated to containerization with Docker, including Dockerfile optimization and service management with Docker Compose. Infrastructure management as code with Terraform is taught to automatically create resources such as VPC and EKS clusters. The course also provides advanced solutions for cost optimization up to seventy percent using Spot and Karpenter instances. Implementation of a complete CI/CD pipeline with a GitOps approach and with ArgoCD and GitHub Actions tools is another part of the training. Finally, the concepts of observability and system monitoring to ensure stability are covered, using OpenTelemetry and Grafana.

What you will learn

Complete mastery of DevOps on AWS using Docker, Kubernetes EKS, and Terraform.
Build production-level Docker images using multi-stage builds and publish to ECR.
Automate AWS infrastructure including VPC, EKS, RDS, and DynamoDB using Terraform.
Manage Kubernetes applications using Ingress, Load Balancer, and External DNS automation.
Implement auto-scaling with Karpenter to reduce costs by 70% and manage Spot Instances without interruption.
Create complete CI/CD pipelines using GitHub Actions and ArgoCD based on GitOps principles.
Use OpenTelemetry, AWS X-Ray, Prometheus, and Grafana for system monitoring and visibility.
Manage sensitive and secure data with AWS Secrets Manager and manage access with IAM Roles.
Packaging and deploying complex microservices using Helm Charts.
Working with a variety of databases and messaging services such as Redis, SQS, and PostgreSQL in a microservice environment.
Automatic configuration of horizontal pod scaling (HPA) based on CPU and memory usage.
Learn rollback strategies and advanced troubleshooting in EKS clusters.

This course is suitable for people who:

DevOps engineers looking to master modern tools on the AWS platform.
System administrators who plan to transition to the cloud world and manage cloud infrastructure.
Cloud engineers who want to gain hands-on experience implementing AWS EKS and real-world projects.
Solutions Architects who seek to design scalable microservice architectures.
Students and graduates preparing to enter the DevOps job market with practical skills.
Technical managers who need to understand modern workflows and new tools.
People looking to learn how to implement Kubernetes clusters from scratch in production environments.
Professionals who want to optimize their organization’s cloud infrastructure costs.

Course details

Publisher: Udemy
Lecturer: Kalyan Reddy Daida DevOps & SRE Architect on AWS, Azure & Google Cloud Platforms
Training level: Beginner to advanced
Training duration: 38 hours and 15 minutes
Number of lessons: 235

Course headings

Prerequisites for the Ultimate DevOps Real-World Project Implementation AWS Cloud course

AWS Account: Active AWS account with permissions to create resources (EKS, VPC, RDS, EC2, etc.). Free tier works for initial modules only.
Computer: System capable of running SSH and web browsers (any OS: Windows, macOS, Linux). We’ll use EC2 for Docker demos, so no need for Docker Desktop locally.
Basic Command Line: Familiarity with terminal/command prompt and basic Linux commands.
Text Editor: Any code editor (VS Code recommended) for editing configuration files.
Internet Connection: Stable connection for AWS console access and downloading tools.
Helpful (But Not Mandatory): Basic Programming: Understanding of basic programming concepts helps with microservices code, but not required.
Helpful (But Not Mandatory): AWS Basics: Familiarity with core AWS concepts (EC2, VPC, IAM) is helpful but we cover what’s needed.
Helpful (But Not Mandatory): Version Control: Basic Git knowledge beneficial for CI/CD section.
Helpful (But Not Mandatory): Networking Fundamentals: Understanding of IP addresses, subnets, and ports enhances learning.
What You DON’T Need: Prior Docker Experience: We start from Docker installation and build to advanced concepts.
What You DON’T Need: Prior Kubernetes Experience: We cover Kubernetes fundamentals before advanced topics.
What You DON’T Need: Prior Terraform Experience: We start with Terraform basics and gradually advance.
What You DON’T Need: DevOps Experience: Course designed to teach DevOps from the ground up.
What You DON’T Need: No AWS or Kubernetes certifications required.