Description: This course will provide participants with a foundational understanding of artificial intelligence (AI) and its capabilities. Participants will learn how to identify valuable use cases for AI within their organization, familiarize themselves with common AI models and key terminology, and select appropriate models for their use cases. The course will also cover the AI development and production process, including considering putting models into production and monitoring their performance.
Participants will start with an overview of AI and its history, followed by an introduction to machine learning and deep learning. Throughout the course, real-world examples of AI applications will be presented, and participants will have the opportunity to practice applying their knowledge to a variety of use cases.
Upon completion of the course, participants will have a solid understanding of how AI works, how it can be applied in their organization, and what factors to consider when implementing AI solutions. They will also have a familiarity with common AI models and key terminology, as well as the ability to select appropriate models and monitor their performance once in production.
(This is the final course of the Analytics Bootcamp)