🔹 Azure DevOps

A Microsoft platform that brings together code management, CI/CD pipelines, testing, and project tracking. It helps teams plan, build, test, and release software faster and more reliably.

👉 Think: “One-stop shop for DevOps on Azure.”

🔹 AIOps (Artificial Intelligence for IT Operations)

Uses AI + ML to make IT operations smarter. It helps detect anomalies, predict outages, and automate fixes by analyzing logs, metrics, and events.

👉 Think: “AI that watches over your systems and alerts you before things break.”

🔹 MLOps (Machine Learning Operations)

The DevOps for machine learning models. It manages the end-to-end ML lifecycle—training, testing, deploying, monitoring, and retraining models in production.

👉 Think: “DevOps, but for data scientists and ML engineers.”

🔹 GenAI (Generative AI)

AI models (like GPT, DALL·E) that can generate new content—text, code, images, or even music—based on training data.

👉 Think: “AI that creates, not just predicts.”

⚡ Together:

• Azure DevOps → Build & release software

• AIOps → Keep systems reliable with AI

• MLOps → Manage ML models at scale

• GenAI → Create new solutions & automation