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AI Assessment & Vendor Evaluation
Course

AI Assessment & Vendor Evaluation

AIDU-EVAL-202

Duration
1 Day
Format
Virtual or in-person
Intermediate LevelEnterprise AI DeploymentAI Risk & GovernanceAI Vendor EvaluationROI & Business Value

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.

Course topics

What you'll be able to do

Evaluate AI systems beyond accuracy, demos, and benchmark claims
Distinguish model-level performance from system-level behavior and risk
Identify safety, robustness, bias, and misuse risks in deployed AI systems
Critically assess AI vendor claims, benchmarks, and marketing language
Recognize common evaluation failures that cause AI initiatives to fail after rollout
Design lifecycle-aware evaluation and monitoring strategies
Measure business impact and ROI of AI initiatives realistically
Make defensible procurement and governance decisions involving AI