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Many beginners (including me 😄) get confused between these two. So here's a simple breakdown. 👇

🔹 DevOps = Building & deploying software faster with automation
🔹 MLOps = Same idea, but specially designed for Machine Learning & AI models

Key insight:
✅ DevOps is the foundation
✅ MLOps is the advanced layer built on top

Simple earning Path for Freshers:
1️⃣ Linux + Basic Commands
2️⃣ Git & GitHub
3️⃣ CI/CD (Jenkins)
4️⃣ Docker & Kubernetes
5️⃣ Then explore MLOps (MLflow, Kubeflow)

💡 Master DevOps first → MLOps becomes much easier! 👉 Swipe through all 6 slides to see the full breakdown →
🤝 I'm currently learning DevOps and sharing whatever I understand. If you're on the same journey —

let's connect and grow together!