In the world of Artificial Intelligence (AI), data is the lifeblood of effective models. The adage “garbage in, garbage out” highlights the necessity of using high-quality data to train AI systems. This course is designed to equip you with the skills to define data requirements and acquire necessary data through web scraping techniques. You will learn to categorize and analyze data for relevance and insights, ensuring its quality through meticulous cleaning and preprocessing.

We will examine various aspects of data preparation, including handling missing values, identifying and addressing outliers, and ensuring data consistency. The course also covers the critical issues of data bias, privacy, and ethical considerations, providing strategies to mitigate these challenges. You will explore how to build resilient AI models and understand the influence of data on different features of a business model. By the end of this course, you will be able to leverage data for strategic competitive advantage and create AI models that drive meaningful business outcomes.

You are required to have completed the following courses or have equivalent experience before taking this course:

• Creating Business Value with AI
• Exploring Good Old-Fashioned AI (GOFAI)