Executive programs

AI for the people who run things — and the people who build them.

Two eight-week programs, taught by industry leaders. One for leaders who sponsor AI. One for practitioners who build it.

Program 1

Strategic Sponsors

Who it's for

Executives, general managers, division heads, senior functional leaders — the people who decide whether AI happens in an organization.

What you'll be able to do

Sponsor AI initiatives well: connect them to business outcomes, set the governance, prioritize the right use cases, and lead the organization through the change.

Format8 weeks~90 min self-paced prep each week90-min live workshop each weekcohorts of peers

Week 1
AI foundations for leadersWhat it is, what it isn't, and where it pays off in your sector.
Week 2
Frameworks for AI sponsorshipThe executive's actual job in an AI initiative — and how to do it well.
Week 3
Strategic valueLinking AI to revenue, margin, productivity, and risk.
Week 4
Identifying and prioritizing use casesScoring frameworks; leaders shortlist their organization's top one or two.
Week 5
Translating needs into AI-ready opportunitiesData requirements, feasibility, stakeholders, working with technical teams.
Week 6
Leading the culture shiftResistance, communication, and workforce readiness.
Week 7
Governance, risk, and responsible AIFairness, transparency, privacy, and your sector's own rules.
Week 8
Final presentationThe AI roadmap and business case, with feedback from instructors and sector experts.

You leave with

  • A prioritized portfolio of AI use cases for your organization
  • A governance framework and risk-mitigation plan
  • An implementation roadmap with timeline, resources, and success metrics
  • A sponsorship action plan — and a Certificate of Completion
Program 2

AI Enablers

Who it's for

Analysts, product owners, engineers, data professionals, functional team leads — the technically fluent people embedded in the business.

What you'll be able to do

Build, deploy, and maintain GenAI-powered tools that improve real workflows — and become the internal enabler for your department.

Format8 weeks~90 min prep each week90-min live build session each weekcohorts grouped by use case

Week 1
GenAI foundations and tools setupLLMs, agent architecture, no-code and low-code platforms.
Week 2
Prompt engineering and agent designSystem messages, workflows, debugging.
Week 3
Workflow mapping and use-case selectionYou pick the project you'll ship — aligned with what leaders prioritized.
Week 4
Building the coreArchitecture, connectors, data sources. First build sprint.
Week 5
Development, testing, refinementIterative build cycles, error handling, user testing.
Week 6
Scaling and reuseReliability, reusable components, cross-functional modules.
Week 7
Deployment, governance, monitoringVersioning, access control, feedback loops.
Week 8
Demo dayThe working prototype, live, evaluated by practitioners — plus a rollout roadmap.

You leave with

  • A deployed, working prototype
  • Technical documentation ready for handoff to your organization
  • An integration roadmap for rollout
  • A Certificate of Completion

Run them together

Sponsors and Enablers from the same organization can run in parallel: leaders select the use cases in week 4, builders ship them by week 8. Two programs, one organizational outcome.

Institute executive workshops

Shorter, sector-focused sessions: applied AI literacy, governance, and adoption strategy — run by practitioners. Free of charge.

Accreditation

With the Kogod School of Business, American University

Kogod School of Business, American University

Accredited executive engagements, in partnership with the Kogod School of Business at American University in Washington, DC — available for a small fee. Institute-run workshops remain free.

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