Faculty Development Program
The Faculty AI Workshop
A two-day, hands-on AI workshop for faculty across all disciplines. Built on the “I Do, We Do, You Do” pedagogical framework familiar to most educators.
What the Workshop Covers
Seven content areas, designed to map cleanly to the typical Indian university brief for faculty AI training.
Generative AI Tools
ChatGPT, Claude, Gemini, and Microsoft Copilot. Side-by-side live comparison. Faculty leave with a clear decision framework — which tool to reach for in which situation.
Prompt Engineering
Structural anatomy of a good prompt: context, constraints, audience, format, evidence checks, and the iteration loop. Demonstrated live on faculty-relevant scenarios.
AI-Assisted Teaching Materials
Lesson plans mapped to Bloom's taxonomy, slide outlines, assessment questions with rubrics, discussion questions, and student handouts. Each faculty member builds a complete teaching package for one of their own classes during the workshop.
No-Code Automation
A four-layer stack: native AI features (Custom GPTs, Projects, Gems), Google Apps Script, FlowBuilder (AI Guru's own automation platform), and comparison platforms Zapier and n8n.
AI Agents
What they are, what they can realistically do today, and how faculty might use them. Honest, hype-free framing.
AI for Data Analysis
Excel- and Copilot-based academic analytics — attendance patterns, grade distributions, course feedback synthesis.
Ethical AI Use
Hallucinations, citation fabrication, academic integrity, assessment design in an AI-enabled classroom. A facilitated discussion, not a lecture.
The Two-Day Arc
Day 1 establishes shared vocabulary and gives every participant their first hands-on AI wins. Day 2 moves into research, administration, and automation — and ends with a concrete adoption plan.
| Phase | When | What Happens |
|---|---|---|
| Understand | Day 1 morning | Foundations: AI concepts, the four-tool landscape, economics, governance for educators, the student AI question |
| Apply | Day 1 afternoon | Hands-on labs for teaching: lecture prep, slide generation, assessment drafting, rubric creation, discipline-specific tracks |
| Extend | Day 2 morning | Hands-on labs for research and administration: literature reviews, paper drafting, student communication, NAAC documentation |
| Automate & Commit | Day 2 afternoon | Automation lab, faculty input toward institutional AI position, school-wise commitments and leadership readout |
What Faculty Walk Away With
Working teaching package
A complete lesson plan, slide outline, three assessment questions with rubrics, two discussion questions, and a student handout — built for one of their own actual upcoming classes.
Working automations
At least two no-code workflow automations running on their own laptops by end of Day 2. Six months of complimentary FlowBuilder access ensures the automations keep running after the workshop.
Three workflows for next morning
A short, written commitment from every participant — three specific AI workflows they will use in their actual work the same week.
What University Leadership Receives
Format Options
Onsite at Your Campus
Two days at the university campus. Recommended for the first engagement. Cluster seating preferred for collaborative labs. Cohorts up to 150. Domestic travel for the support team is at actuals; international travel is built into the engagement fee.
Virtual (Live Instructor-Led)
Two days delivered live via Zoom or Microsoft Teams. Same hands-on structure, same labs, same deliverables. Recommended for follow-up engagements or multi-campus universities.
Why This Workshop, From This Team
Built by practitioners
Sessions led by people who build production AI systems — at scale, in regulated environments, in front of senior enterprise audiences.
Multidisciplinary by design
Designed from day one to handle a faculty room that includes Computer Science, Law, Liberal Arts, and Hotel Management — without diluting any.
FlowBuilder included
Six months of complimentary access to AI Guru's own no-code automation platform for every participant. Workshop automations keep running after the workshop ends.
Follow-through built in
Pre/post assessment, 30-day adoption survey, dedicated advisory channel, and an optional 90-day faculty adoption program.
Optional: 90-Day Faculty Adoption Program
Three 90-minute virtual milestone sessions over 90 days — Week 4, Week 8, and Week 12 — focused on real adoption progress per school. Faculty AI champions present what is working, what is not, and refine school-specific playbooks. Final readout includes a measured adoption dashboard and a 6-month AI roadmap for the university.
Bring This Workshop to Your University
Most engagements start with a 30-minute alignment call to scope the cohort, format, and timing. We send a tailored proposal within a week of that call.