Full course coming soon

Workforce Planning for AI Transformation

7 chapters · 31 lessons

1. 1. Connecting Business Goals to Capability Needs

   4 lessons

   Learn to translate AI adoption goals into specific role changes and capability requirements.

2. 2. Conducting Evidence-Based Capability Gap Analysis

   4 lessons

   Use structured methods to assess current talent against future AI-driven needs.

3. 3. Designing Build, Buy, and Redeploy Strategies

   5 lessons

   Choose the right mix of reskilling, hiring, and redeployment to close capability gaps.

4. 4. Building Rolling Review Cycles and Feedback Loops

   4 lessons

   Establish ongoing processes to keep workforce plans aligned with evolving AI tools and business needs.

5. 5. Defining and Maintaining AI-Specific Capabilities

   5 lessons

   Specify the durable skills needed for responsible AI use across roles and functions.

6. 6. Creating Workforce Planning Artifacts and Documentation

   4 lessons

   Produce the deliverables that make workforce planning actionable and credible.

7. 7. Real-World Workforce Planning Scenarios

   5 lessons

   Apply workforce planning methods to customer support, financial operations, and software development contexts.