AI Assessment & Vendor Evaluation
AIDU-EVAL-202
About this course
This course provides a structured, non-technical approach to evaluating AI systems and AI vendors in real organizational settings. It explains why AI evaluation is inherently complex, why benchmarks and pilots often mislead, and how performance, safety, risk, and ROI must be assessed at the system level rather than the model level.
Participants learn how to design meaningful evaluation and stress testing strategies, monitor deployed systems over time, assess vendor claims and due diligence factors, and measure whether AI initiatives deliver real business value once hidden costs and risks are considered.
The course concludes with clear decision frameworks for determining when to deploy, limit, or reject AI systems. It is designed for professionals responsible for approving, governing, or overseeing AI initiatives, without writing code or understanding mathematics.