In this course you will look at home to take machine learning models into production, so that they can be used in live business applications. There are several methods of productionizing models, this course will cover a few of the common ones. This course is part of the Artificial Intelligence Infrastructure learning path - complete this path to learn how to build AI systems for enterprise.
To complete the Artificial Intelligence Infrastructure learning path you should have intermediate knowledge of Python and Google Collab. You should also understand data preparation work as well as knowledge of common ML and AI algorithms, different databases such as MySQL, MongoDB, and Cassandra and data formats for large collections of data. Knowledge of Spark is also useful along with AI system design principles, workflow management platforms like Airflow and the deep Q-learning algorithm.