HospitalityAI

A Live Demonstration of Human‑Centric AI in Hospitality

Sab Mulligan

AI Hospitality Brand Strategist

Watch a guest communication agent handle real guest-style conversations see with your own eyes.

See what “well designed AI” looks like in hospitality

Learn how brand is what leads the creation of guest-centric hospitality replies

Embed empathy and warmth into AI replies

Experience how a quiz can set the tone for a stay, increase engagement and support guests

Use gamification to spark guest engagement

Walk away with a simple starting path and action plan

Take your first step toward an AI guest agent

See how AI can spot sales and service opportunities, then rope humans in at the right moment

Blend AI automation with human touchpoints

Automate and amplify institutional knowledge through AI agents that embody your cultural DNA

Cohort 17

Principal Director, Handshake

Lev Gorelov, MS

Co-founder and Principal Director of Handshake, a generative AI software studio

CEO, Handshake

Jeremy Kirshbaum

Founder of generative AI consultancy Handshake

Cohort 16

Cohort 18

The Problem: Your AI applications produce generic, surface-level outputs. You're solving complex, context-specific problems, but results don't reflect your organization's hard-won expertise.The Solution: We teach evergreen frameworks for building AI systems that learn from your unique data and workflows, with instructors available on-demand as your strategy and implementation consultants.What makes your organization valuable isn't raw information — it's the proprietary logic that mints insight from the data. We teach you to encode this logic into AI systems and scale your expertise authentically. You'll learn to orchestrate product development across domain experts, developers, and UX designers, transferring best practices into a product only your organization could build.We've spent half a decade embedding expertise into AI with knowledge-driven organizations like Visit California, Give.org, and Institute for the Future. We operated as strategic consultants, not just developers. For the price of a course, you're hiring us in the same capacity - consulting, scoping, iterating - to ensure you walk away with a prototype that solves real problems and a clear roadmap to production.

Transform Your Organization's Expertise Into AI-Powered Competitive Advantage

Encode Your Organization's Expertise Into AI Systems

Put Theory Into Practice With Support From Experienced Strategists and Builders

How To Build a Working Prototype You Can Actually Deploy

Lead Cross-Functional Teams

Cut Through the Hype and Identify Real Opportunities

Executive Leaders who need a framework to convert their company's domain expertise and workflows into a scalable, competitive AI asset

Project/Product Managers who need a framework to bridge domain knowledge with technical teams to scale expertise with AI

Consultants who want to guide clients in building differentiated, insight-driven and context-aware AI solutions

🚀 Go from idea to a working AI app in one day — built, usable, and shareable.

AI Founder | Google AI Accelerator Alum

Google

OpenAI

Amazon Web Services

NVIDIA

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Exited AI Founder | Co-Founder, Snapdrum

Boston Consulting Group (BCG)

McKinsey & Company

Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Jan '26 Epoch I [Completed]

Cohort 3 [Upcoming]

AI tools are moving fast, and the expectation has shifted: product people, founders, and builders are now expected to show working demos, not just pitch ideas or write specs. But most AI courses stop at concepts, or require heavy engineering skills that slow you down.This course solves that gap.In one focused day, you’ll learn how to use Lovable to turn ideas into real, interactive AI apps — fast. No dev queues. No fragile prototypes. No waiting weeks to validate whether something works.Lovable changes what’s possible for non-engineers and product-minded builders. With the right workflows, you can go from concept → UI → logic → deployed app in hours. This course shows you exactly how.You won’t just watch demos. You’ll actively build:<ul><li>A working AI-powered app you can share the same day</li><li>Real user flows, prompts, and data handling</li><li>A repeatable process you can reuse for future ideas</li></ul>By the end of the day, you won’t just “know about” Lovable. You’ll have shipped something real, gained confidence to prototype independently, and unlocked a faster way to test ideas, impress stakeholders, and move products forward.This is a hands-on, build-first course for people who want results — not theory.

Go from idea to working AI app in one day — without writing code

Build and ship a functional AI app using Lovable

Design clear prompt-to-app workflows that actually work

Create real product UIs without code

Test, iterate, and validate ideas fast

Apply a repeatable AI prototyping playbook

Comfortable using web apps and modern tools (dashboards, forms, no-code platforms). No coding required.

Basic digital tool familiarity

Willing to turn ideas into working AI apps, iterate quickly, and learn by doing in a fast-paced session.

Curiosity to build and experiment

For product managers, founders, and builders who want to prototype real AI apps with Lovable—fast, hands-on, and without writing code.

For non-technical or lightly technical professionals who want to turn ideas into working AI demos they can share with teams or stakeholders.

For designers, operators, and tech-curious professionals who want to build interactive AI apps in a single day using modern no-code tools.

Master proven AI frameworks to automate HR tasks, build ethical policies, and lead strategic implementation that drives measurable impact.

CPO , Advisor & Future of Work Expert

Airbnb

Deloitte

Paper

Q Hamirani

Global CPO, Advisor & Educator shaping the future of people and AI

HR Leader, AI in HR Strategist

Walmart Global Tech

Cognizant

Tata Consultancy Services

Sandhiya Thiruvengadam

HR Leader & AI Strategist transforming how people and tech work together

People Professionals - Cohort 1

People Professionals - Cohort 2

AI is transforming HR but most teams are still stuck experimenting.Over the last year, we engaged with 2,500+ HR professionals and found that while 65% are exploring AI, only 13% have integrated it into workflows, and just 2% are driving measurable transformation.This 7-week, hands-on program closes that gap. Designed by HR leaders for HR leaders, it helps you move from curiosity to capability—building real AI prototypes, mastering compliant prompt frameworks, and designing safe, scalable workflows using tools like ChatGPT, Copilot, and Claude- even within your own Microsoft or other enterprise workspace.Each week blends live workshops, peer “shark tank” sessions, and executive deep-dives with CHROs and CPOs who’ve implemented AI successfully. By the end, you’ll walk away with a working HR solution, a 90-day rollout roadmap, and the confidence to lead AI adoption in your organization.If you’re ready to save time, amplify impact, and position yourself as an AI-forward HR professional, this course is your launchpad.

From Uncertain Experimenter to Confident AI Champion

How to identify high-impact AI opportunities—and when not to use tech

How to build your first working AI solution—without coding

How to experiment safely with AI tools

How to pitch your AI use case to leaders

How to build a 90-day roadmap for scaling AI in HR - YOUR Capstone Project

No technical background required . just an open mind and a drive to explore new possibilities in HR.

Curiosity

Access to the internet for course materials , tools and readiness to move beyond traditional HR methods.

A browser

Be ready to challenge old assumptions and most importantly, bring willingness to experiment, make mistakes, and iterate as you build.

Willingness to Unlearn

For early to mid-career HR pros (0-15 years): HRBPs, TA Specialists, Directors, People Ops Leaders.

You have a demonstrated interest in HR innovation; ready to be an AI innovator.

You're experimenting with AI but feel overwhelmed or unsure how to scale for real impact.

Go beyond interfaces—shape how intelligent systems behave.

Cohort 2

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Uber

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

Cohort 1

Cohort 3

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch users abandon it because they didn't understand what it was doing, or if you've been asked to "design the AI experience" but weren't sure where to begin, this course is for you.The Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.