Full course coming soon

Operating AI Systems as a Business Capability

7 chapters · 34 lessons

1. 1. From Tool Access to Business Capability

   4 lessons

   Understand why enterprise AI requires operational discipline beyond giving employees access to models.

2. 2. Use Case Definition and Prioritization

   5 lessons

   Learn to identify, scope, and prioritize AI use cases based on business impact and operational feasibility.

3. 3. Model Selection and Routing Strategy

   5 lessons

   Design systems that match tasks to appropriate models based on capability, cost, and latency requirements.

4. 4. Workflow Integration and System Design

   5 lessons

   Embed AI into existing tools and processes rather than creating isolated experiences.

5. 5. Governance, Access, and Security Controls

   5 lessons

   Implement policies that enable productive use while managing risk, cost, and compliance requirements.

6. 6. Cost Management and Budget Allocation

   5 lessons

   Create transparent cost models that teams can understand and optimize against.

7. 7. Measurement and Continuous Improvement

   5 lessons

   Track adoption, quality, and business outcomes to justify investment and guide iteration.