Module 5: Data Science Implementation
Data acquisition and preparation. Data modeling and visualization. Data science
Module 4: Data Science Fundamentals
Definition and types of data science. The data science lifecycle.
Module 3: Implementing Business Requirements for AI
Design and data requirements. Risks in AI implementation. Developing an
Module 2: Functions of AI in Business
Improving user experiences. Audience segmentation. Asset security. Process optimization.
Module 1: AI Fundamentals
Brief history of AI. Core AI concepts.
