In this quest, you will learn how to deploy AI models using Docker and Kubernetes, two of the most powerful tools in modern software development. You will start with containerizing a machine learning model in Docker, ensuring that it runs consistently across any environment. Once the model is containerized, you will move on to orchestrating the deployment with Kubernetes, which will enable you to manage scaling, load balancing, and updates efficiently. By the end of this quest, you will have hands-on experience with CI/CD practices for deploying AI applications, allowing for rapid development cycles and seamless updates. This advanced quest is ideal for those who are familiar with basic AI concepts and want to dive deeper into the operational aspects of AI model deployment.
