Full course coming soon

Evaluating AI System Capabilities for Product and Strategy Decisions

7 chapters · 32 lessons

1. 1. Performance vs. Generality: Core Evaluation Framework

   4 lessons

   Learn to distinguish task-specific performance from adaptable intelligence using structured assessment criteria.

2. 2. Capability Claims: Separating Evidence from Narrative

   5 lessons

   Develop critical analysis skills to evaluate vendor demonstrations, benchmarks, and marketing materials.

3. 3. Designing Effective Pilot Programs and Proof of Concepts

   5 lessons

   Build structured pilots that reveal true system capabilities under realistic operational conditions.

4. 4. Failure Mode Analysis and Human Oversight Design

   4 lessons

   Identify where AI systems break down and design appropriate human intervention points.

5. 5. Integration Readiness: Technical and Organizational Constraints

   5 lessons

   Assess the real costs and requirements of deploying AI systems within existing operations.

6. 6. Building Business Cases with Capability Uncertainty

   4 lessons

   Develop realistic ROI models that account for performance variability and hidden costs.

7. 7. Strategic Decision Frameworks for AI Adoption

   5 lessons

   Apply structured decision-making processes to prioritize AI investments and manage organizational change.