As the world of Data Science progresses, more engineers and professionals need to deploy their work. Whether it's to test, to obtain user input, or simply to demostrate the model capabilites, it's becoming fundamental for data professionals to know the best ways to deploy their models. Moreover, being able to deploy models will not only help the data science field become more versatile and in-demand, but it will also benefit the development and ops teams, transforming you into a key player in your workplace. So, are you ready to jump in and learn how to use the most powerful web development technologies and boost your data science career? Learn how to take a Data Science or Machine Learning model and deploy it to a Web App and API using some of the most in-demand and popular technologies, including Flask, NodeJS, and ReactJS. Get ready to take a DS model and deploy it in a practical and hands-on manner, simulating a real-world scenario that can be applied to industry practices.

As the world of Data Science progresses, more engineers and professionals need to deploy their work. This can be due to testing, obtaining user input, demonstrating model capabilities, or deploying a model to production. Due to this, we need to understand and know how to take a Data Science model and deploy it to a Web App and API using some of the most in-demand and popular libraries, including Flask, NodeJS, and ReactJS. Being able to deploy models will make a DS more versatile and in-demand, but it will also benefit the development and ops teams within the company. In this course, we will take a DS model and learn how to deploy it in a practical and hands-on manner, allowing us to simulate a real-world scenario that can be applied to industry practices.