Using Docker and Flask for AI Model Deployment
Introduction: The accuracy of AI models can be high in development, but translates to better performance once put into real-world applications. Whether it is as a recommendation system, a fraud detection tool, a chatbot, or image recognition software, an AI model needs to be made available to people via a sure deployment process. Docker and Flask are two of the most popular technologies to deploy AI models because they facilitate the development process, provide consistency across environments, and allow applications to scale. Experts trained in deployment techniques say that the best data science courses in Bangalore allow them to get hands-on experience with the latest deployment tools such as Docker and Flask, which enable the creation of production-ready AI applications. The knowledge of these technologies taps into the gap between building machine learning models and pushing them towards end-users. Knowing these technologies helps in connecting the dots between building machine l...