AI+ Data is a course from the AI+ certification series that explores the intersection of artificial intelligence and data management. Students learn how AI and machine learning consume and depend on quality data, how to prepare and engineer datasets for AI use cases, the fundamentals of machine learning algorithms and model training, and how to govern data responsibly to support trustworthy AI outcomes.
What You Will Learn
- Understand how AI and ML systems consume data and why data quality is foundational to AI success
- Apply data preparation and feature engineering techniques to make raw data AI-ready
- Understand core machine learning concepts including supervised, unsupervised, and reinforcement learning
- Use AI tools to automate and enhance data analysis, pattern detection, and predictive analytics
- Apply data governance and ethical AI principles to ensure responsible use of data in AI systems
Who Should Attend
Data analysts, data engineers, and business intelligence professionals who want to understand how AI integrates with data management and analytics workflows.
Prerequisites
Familiarity with data concepts and analytics. No advanced programming or ML experience is required.
