Advanced Prompt Engineering Track, Vanderbilt University via Coursera
Completed and continued study of advanced prompt engineering to automate manual business data processes using structured prompt patterns. Focused on context window utilization and algorithmic performance optimization relevant to improving AI outputs for business data tasks. This constitutes AI training via prompt engineering practice rather than supervised labeling of ground-truth annotations. • Applied structural prompt patterns for reliable task automation • Utilized context windows to improve information handling • Optimized prompt approaches for better algorithmic performance • Trained prompt strategies for automating business data workflows