AI Executive Education with Universities
Practitioner-led AI sessions for university executive education: a curriculum contribution, teaching artefacts, and assessment that fit existing learning outcomes.
Direct answer
Direct answer: University executive education
University executive-education programmes usually have their learning outcomes, cohort, and assessment model in place; what they need from a practitioner is a contribution that fits. I offer sessions and short modules on how AI systems are built, governed, and operated in practice, designed against the programme’s stated outcomes and leaving teaching artefacts and an assessment approach the programme team can use.
The question
“We need practitioner-led AI sessions that fit an existing programme and learning outcomes. What contribution is suitable?”
Who it is for
Executive-education directors, programme leads, and module convenors at universities and business schools.
What you leave with
A curriculum contribution, teaching artefacts, and an assessment approach aligned to the programme’s learning outcomes.
- 01 A session or module plan mapped to the programme’s existing learning outcomes
- 02 Teaching artefacts: case material, exercises, and reading drawn from public work and published sources
- 03 An assessment approach, such as a decision memo or system critique, that the programme team can mark
- 04 A short handover note so faculty can reuse the material where rights are agreed
How it runs
Format, method, and preparation
- Duration
- A single guest session, a half-day or full-day block, or a short module across several sessions
- Delivery
- On campus in the UK or remote, within the programme’s timetable
- Participants
- Executive-education cohorts as organised by the programme
Align to outcomes
Review the programme’s learning outcomes, cohort profile, and assessment model with the programme lead.
Explain the system
Show what changes when an AI system can read, decide, and act, using public reference systems and published research.
Apply to a decision
Participants work through a governance or investment case and produce a decision artefact.
Assess and debrief
Use the agreed assessment approach and connect the session to the rest of the programme.
Useful to have ready
- →The programme’s learning outcomes, cohort profile, and assessment model
- →Agreement on intellectual-property and reuse terms for teaching material
- →Timetable, room or platform, and accessibility arrangements from the institution
Evidence
What this draws on
GenAI and Agentic AI Playbooks
21 open chapters in ten languages under Apache 2.0: a business-leader guide to GenAI adoption followed by an engineering and operating guide to agent systems.
Inspect the source ↗AI for Everyday Automation (Packt, 2026)
Seven connected workflows for email, meetings, research, reports, task tracking, spreadsheets, and professional communication, each with people kept in review.
Read more →Graduate Certificate in Strategic Studies
Completed at The Takshashila Institution in 2018, alongside an M.S. in Computer Science (Cybersecurity) from Arizona State University and a B.Tech. from IIT Delhi.
Read more →The Correctness Illusion in LLM-Generated GPU Kernels
Operator-aware testing caught 10 of 10 seeded defects while 16 of 16 correct controls stayed clean across five GPU classes. A controlled corpus result, not a deployed-model defect rate.
Inspect the source ↗Scope and limits
What this is not
- —Contributions are made as a visiting practitioner. They do not imply a university appointment, faculty title, or affiliation unless the institution separately grants one.
- —Academic credit, accreditation, and quality assurance remain with the university.
- —This page covers curriculum and learning outcomes. Automating a university’s own administrative work is delivery work handled through dipankar.co.
If the need is different
Common questions
Answers before you commission
What can a practitioner add to a university executive-education programme on AI?+
First-hand material on how AI systems are designed, governed, and operated, including where they fail, connected to the decisions executives on the programme will actually face.
Can the session fit our existing learning outcomes and assessment?+
Yes. The contribution is designed against your stated outcomes and can use an assessment format your programme already marks, such as a decision memo or critique.
Do you act as guest faculty?+
Sessions can be delivered as a guest practitioner within your programme. Any faculty title or affiliation is the university’s to grant and is not implied by this offer.
Who owns the teaching material?+
That is agreed in advance. Material drawn from open playbooks and public research can usually be shared; reuse and recording terms are set per programme.
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