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Generative AIintermediate

YouTube SEO Insights Generator using Jenkins, ArgoCD & Kubernetes

An end-to-end AI application that automates YouTube SEO analysis using GPT-4 and a professional GitOps pipeline. This project demonstrates how to build a web app and integrate OpenAI, and deploy it onto a Kubernetes cluster using Jenkins, Docker, and Argo CD.

18 lectures

What You Will Learn

Master the industry-standard "Source of Truth" workflow by automating your builds with Jenkins and using Argo CD to automatically sync GitHub changes to your cluster
Gain hands-on experience deploying Dockerized applications into a Kubernetes cluster hosted on a Google Cloud (GCP) Virtual Machine.

System Architecture

YouTube SEO Insights Generator using Jenkins, ArgoCD & Kubernetes Architecture Diagram

High-level architecture overview of the YouTube SEO Insights Generator using Jenkins, ArgoCD & Kubernetes .

What You'll Build

  • A web application that scrapes YouTube metadata and uses GPT-4 to automatically generate 35+ SEO tags, timestamps, and video improvement suggestions.
  • A fully automated "push-to-deploy" workflow using GitHub Webhooks, Jenkins, and Argo CD to ensure code changes are tested and deployed instantly.
YouTube SEO Insights Generator using Jenkins, ArgoCD & Kubernetes
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