Q & A – AWS Model Deployement Table Of Contents: General ML Deployment Questions. Docker & Containerization. Cloud Deployment (AWS, GCP, Azure). API & Flask Integration. Scaling & Optimization. CI/CD & Automation. Security & Monitoring. (1) General ML Deployment Questions. What are the different ways to deploy a machine learning model? What is the difference between batch inference and real-time inference? What are the advantages and disadvantages of deploying models using Docker? What are edge AI deployments, and when should you use them? How do you handle model versioning in deployment? (2) General ML Deployment Questions. What is a Docker

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