MLOps Master Handbook 2026 with Flying Sushant

MLOps Master Handbook 2026 — From Models to Real-World Impact

A complete practical handbook designed for DevOps Engineers, Cloud Engineers, MLOps Engineers, AI Engineers and aspiring ML Engineers.

What’s inside — 120 Pages

✅ MLOps Fundamentals & Machine Learning Basics

✅ Git, DVC & Data Version Control

✅ MLflow — Tracking, Registry & Model Lifecycle

✅ ML Pipelines & CI/CD for Machine Learning

✅ Docker & Model Serving

✅ Kubernetes for MLOps

✅ KServe & Cloud MLOps

✅ AWS SageMaker, Azure ML & GCP Vertex AI

✅ Production MLOps & Observability

✅ ML Security, Governance & Reliability

✅ LLMOps — LLMs, Prompt Engineering, RAG & Evaluation

✅ AI-Assisted DevOps & AIOps

✅ AI Kubernetes Agents & Production Troubleshooting

✅ Real-world scenarios, projects & interview questions

✅ Practical cheat sheets

Technologies Covered:

Python • Git • DVC • Docker • Kubernetes • MLflow • KServe • AWS SageMaker • Azure ML • GCP Vertex AI • LLMOps • AIOps

Perfect for:

DevOps Engineers | Cloud Engineers | MLOps Engineers | AI Engineers | SREs | ML Engineers | Students preparing for MLOps/AI interviews

Build smarter. Deploy faster. Operate AI in production.

By Sushant Ketu — MLOps Master Handbook 2026