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DevOps On AWS and AI - Real Projects - All In One
Highest Rated
Rating: 4.8 out of 5(55 ratings)
184 students

DevOps On AWS and AI - Real Projects - All In One

DevOps on AWS: Multiple Real-World Projects A–Z with CI/CD, Pipeline, Kubernetes Cloud Automation and AI in 1 Course
Highest Rated
Created byHoang Guruu
Last updated 5/2026
English

What you'll learn

  • All Project in 1 Course - Continuously Updated - DevOps On AWS
  • Hands-on project experience - simulate the workflow of enterprise-level DevOps teams.
  • Prepare for roles DevOps Engineer, Cloud Engineer, or Site Reliability Engineer.
  • Stronger technical portfolio - showcase an end-to-end DevOps project to employers.

Course content

13 sections • 62 lectures • 3h 0m total length

  • READ BEFORE START0:22
  • Project Architecture #1 - Full End to End DevOps Workflow2:36
  • Source code and Documentation0:02

Requirements

  • Willingness to learn by doing
  • Basic computer skills
  • A laptop/PC with internet access
  • An AWS Free Tier account

Description

  1. REMEMBER - All Projects in This Course - Continuously Updated

    1. #1 - REAL PROJECT               - End to End - Released

    2. #2 - BUILD K8S FROM 0      - End to End - Working In Progress

    3. #3 - DATAOPS                          - End to End - Waiting

#1 REAL PROJECT - You will learn how to:

  1. Build and containerize a microservices application ( Python - Ruby - NodeJS - Java )

  2. Push Docker images to Amazon ECR

  3. Provision AWS infrastructure and EKS with Terraform

  4. Deploy and manage workloads on Kubernetes

  5. Build CI/CD pipelines with GitHub Actions

  6. Apply GitOps deployment practices with ArgoCD

  7. Expose applications through Load Balancer, Istio Gateway, and routing configuration

  8. Manage secrets securely with Vault

  9. Monitor applications with Prometheus and Grafana

  10. Visualize service traffic with Kiali

  11. Configure scaling, alerts, and operational monitoring

  12. Connect custom domains through Cloudflare

  13. Understand how all core DevOps components work together in one real project with AI ChatGPT


#1 REAL PROJECT - Why take this course?

  • Learn through a complete real-world architecture, not disconnected demos

  • Gain practical experience with the most important DevOps and cloud tools

  • Understand how CI/CD, Kubernetes, GitOps, observability, security, and scaling fit together

  • Build a strong portfolio project for your resume and interviews

  • Prepare for DevOps, Cloud, Platform, and SRE-oriented roles with hands-on experience


#1 REAL PROJECT - Structure

  • 00 Requirements and Setup

  • 01 Containerization Microservices Project

  • 02 Infrastructure as Code - EKS - Terraform

  • 03 Deploy Project on EKS Cluster

  • 04 Setup CICD

  • 05 Service Mesh and Observability

  • 06 Setup HPA Auto Scaling and Monitoring - Alert

  • 07 Custom Domain

  • 08 Advanced Operation - Setup Vault to store Secrets - GitOps

Who this course is for:

  • Anyone interested in DevOps - who wants to learn how real-world projects are built, automated, and monitored on AWS.
  • Students & Fresh Graduates - who want a practical project to showcase on their portfolio or resume
  • Aspiring DevOps Engineers / Cloud Engineers - who want to gain real project experience to land their first job.
  • Software Developers - who want to understand DevOps workflows and deploy their applications on AWS & Kubernetes.
  • System Administrators / IT Professionals - looking to upskill into modern DevOps and cloud-native practices.
  • Working Professionals - aiming to upgrade their skills, earn promotions, or transition into cloud & DevOps roles.

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