This course will look at home build a machine learning mode. Then you will get started on the popular deep learning framework PyTorch. Towards the end of the course, you will delve into one of the most exciting fields in deep learning research: reinforcement learning, specifically deep Q-learning algorithm. 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.