Devops On Aws And Ai - Real Projects - All In One

[Emperor2011]

Devops On Aws And Ai - Real Projects - All In One
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 0m | Size: 2.33 GB
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DevOps on AWS: Multiple Real-World Projects A-Z with CI/CD, Pipeline, Kubernetes Cloud Automation & AI in 1 Course
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.
Requirements
Basic computer skills - comfortable using terminal/command line on Windows, macOS, or Linux.
Fundamental programming knowledge - any language (Python, Java, Node.js, etc.) is helpful but not mandatory.
Willingness to learn by doing - this is a hands-on, project-based course; No advanced experience needed.
An AWS Free Tier account - required to follow along with the real project.
A laptop/PC with internet access - preferably with 8GB =+ RAM.
Description
• REMEMB ==ER - All Projects in This Course - Continuously Updated
• #1 - REAL PROJECT - End to End - Released
• #2 - BUILD K8S FROM 0 - End to End - Working In Progress
• #3 - DATAOPS - End to End - Waiting
#1 REAL PROJECT - You will learn how to
• Build and containerize a microservices application ( Python - Ruby - NodeJS - Java )
• Push Docker images to Amazon ECR
• Provision AWS infrastructure and EKS with Terraform
• Deploy and manage workloads on Kubernetes
• Build CI/CD pipelines with GitHub Actions
• Apply GitOps deployment practices with ArgoCD
• Expose applications through Load Balancer, Istio Gateway, and routing configuration
• Manage secrets securely with Vault
• Monitor applications with Prometheus and Grafana
• Visualize service traffic with Kiali
• Configure scaling, alerts, and operational monitoring
• Connect custom domains through Cloudflare
• 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
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.
Students & Fresh Graduates - who want a practical project to showcase on their portfolio or resume
Working Professionals - aiming to upgrade their skills, earn promotions, or transition into cloud & DevOps roles.
Anyone interested in DevOps - who wants to learn how real-world projects are built, automated, and monitored on AWS.


https://rapidgator.net/file/4f40dd4...I_-_Real_Projects_-_All_In_One.part1.rar.html