The Data Analytics and AI specialization is designed to provide learners with the knowledge, skills and abilities necessary to support the work of data analytics in a variety of applications and settings. The curriculum addresses the range of process and workflow concepts and activities that make up the work of data analytics within distributed and cloud-based IT environments. Specific topics include data identification and collection, data cleansing, and quality measurement. These topics are applied to data mining and analytics projects involving data transformation, manipulation, analysis, and presentation. Learners examine fundamental theories and applications of artificial intelligence (AI), including evaluation of opportunities for AI. Learners are prepared to successfully solve IT problems using a variety of data analytics tools and techniques. Learners integrate an understanding of the role of data governance and management as factors that impact data analytics with data preparation, transformation, and manipulation to prepare datasets for business analysts as well as to create business solutions specific to the IT environment.