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Outcomes | Audience | Content & AI Tools | Date, Fee & Reg | Course Series | Track Record
Official Course Title: Operating Highly Effective AI Hackathons: Logistics, Facilities, and Participant Support (1-Day | AI Tools Included)
Part 1: Course Aims, What AI Hackathon Matters and Outcomes
(1.1) Course Aims
This course is designed for Event Support Managers, Operations Leads, and Core Organising Teams who are responsible for the logistics, facilities, tools, and participant support that enable an AI Hackathon to actually work on the ground. While Program Designers architect the overall experience and Coaches guide teams, this course focuses on the people who ensure the event runs smoothly end‑to‑end: preparing rundown and venue, coordinating AI tools and AI Innovation Spaces, handling registrations and communications, and resolving real‑time issues during high‑pressure moments.
Focusing on highly effective AI Hackathons across Business, Social, ESG, Healthcare, Technology, and Education domains, the course equips Event Support Managers with practical methods, checklists, and AI‑enabled tools to plan and operate the full event lifecycle—from pre‑event readiness (logistics plans, tech setup, risk checks), to in‑room execution (timekeeping, issue triage, information flow, participant care), and post‑event follow‑up (data, materials, handovers, feedback). The emphasis is on creating a reliable, safe, and supportive environment where Program Designers and Coaches can focus on content and teams can do their best work, while operations quietly but effectively hold everything together behind the scenes.
(1.2) Why AI Hackathon Matters
In recent years, AI hackathons have evolved from “idea sparking” events into innovation engines that generate measurable business and social value. Technology leaders such as Google, Facebook, Amazon and Tesla have institutionalised these programmes to accelerate product development and validate new concepts.
In pharmaceutical sector, Novo Nordisk uses a “data-to-insight sprint” to compress drug development cycles, while GE applies AI to optimise maintenance workflows, reducing analysis time and improving safety and efficiency. In finance and energy, DBS Bank embeds such initiatives into culture and talent development; and Shell leverages AI to predict fuel characteristics in support of green energy.
In automotive and transport, BMW uses competitions to speed up image-based model training, and Cathay Pacific engages university students and employees to co-develop solutions in customer experience, operations and cargo management. In Hong Kong, the SIE Fund launched the first social innovation hackathon in 2024, adding AI-enabled elements to turn “bursting creativity” into sustained innovation outcomes.
When combined with a coordinated set of 6 AI agents (Details)(shown below) during the 6-Phase AI Hackathon Execution Processes, the participants can identify emotional and latent needs across an entire market with up to 90% accuracy and improve efficiency up to 95%, positioning AI hackathons as a strategic bridge between creativity and tangible business or public value.
(1.3) Learning Outcomes
- Plan and run the full operational backbone of an AI Hackathon in one coherent flow—from first logistics checklist to final wrap‑up—so that the event is highly effective
- Set up and manage all critical infrastructure, both physical and digital, so that teams, judges, and coaches can work with minimal friction and downtime.
- Coordinate people and process in real time, including registration, helpdesk, announcements, timekeeping, and technical or facility incidents—keeping the event on schedule and calm, even under pressure.
- Deliver high‑quality participant and coach support, ensuring clear orientation, accessible facilities, inclusive practices, and basic comfort so participants can stay focused, creative, and productive.
- Capture and hand over essential post‑event information in a structured format that helps Program Designers, sponsors, and Coaches improve and scale future AI Hackathons.
Part 2: Target Audience
This 1‑day course is for people who make AI Hackathons actually work in practice—the operational leads who turn concepts, agendas, and challenge statements into a seamless, on‑the‑ground experience. It is particularly suitable for:
[1] Event Support Managers and Operations Leads (Click for Details)
Core organisers accountable for end‑to‑end hackathon delivery: logistics planning, vendor and venue coordination, on‑site control room, and real‑time problem‑solving.
[2] Innovation Program Coordinators and PMO Staff (Click for Details)
Administrative and Support team members in innovation, digital, transformation, or R&D offices who are told to “run the AI hackathon” and need a practical, step‑by‑step operations playbook that aligns with Program Designers and Coaches.
[3] Community, CSR, ESG, and AI‑for‑Good Organising Teams (Click for Details)
Staff in corporates, NGOs, universities, and public agencies running Business, Social, ESG, Healthcare, Technology, or Education AI Hackathons who must balance stakeholder expectations with reliable, professional execution.
[4] Technical / IT Support Leads for Events (Click for Details)
IT and platform owners who provide AI tools, virtial working platform, devices, networks, and collaboration systems, and want to integrate these into a robust event operations and support model.
[5] External Event Agencies and Venue Partners (Click for Details)
Event companies, venue operators, and innovation space managers who host hackathons and wish to upgrade from generic event management to AI‑hackathon‑ready operations, working smoothly with Program Designers and Coach teams.
Part 3: Course Content and AI Tools
(3.1) Learning Mode: Learning by Practicing with AI Agents
This course uses a highly practical “learning by practicing with AI Agents” approach, anchored in a end-to-end Hackathon simulation. Participants will work in small groups on realistic business or social challenges, using specialized AI agents in virtual innovation spaces (Details) to analyze problems, generate ideas, shape prototypes, and craft pitches. Instead of only hearing concepts, you repeatedly test prompts, refine AI outputs, and integrate them with your own judgment—experiencing how teams and AI agents collaborate in a real hackathon setting.
(3.2) Session Content
Morning Focus: Building the Operational Backbone – From Design to Readiness
- Session 1: (Translating Program Design into an Operations Plan)
- Convert the Program Designer’s concept, agenda, and challenge domains (Business, Social, ESG, Healthcare, Technology, Education) into a concrete operations plan, including timelines, run‑of‑show, staffing, and logistics checklists.
- Identify all critical dependencies (venue, IT, AI tools, catering, security, vendors) and establish a simple command structure and communication channels so that everyone knows who does what, when, and how.
- Session 2: (Venues, Facilities, and Digital Infrastructure)
- Assess and configure the physical environment—rooms, seating, power, Wi‑Fi, signage, registration area, judges’ and coaches’ zones—to support different hackathon formats (single‑track, multi‑track, hybrid, online).
- Set up and test all digital infrastructure, including collaboration platforms, AI tools / AI Innovation Spaces, presentation systems, and backup options, ensuring compatibility with participants’ devices and organisational policies.
- Session 3: (Schedules, Flows, and Risk Preparedness)
- Finalise the detailed event schedule and information flows (briefings, announcements, checkpoints, pitch slots), aligning them with Program Designers and Coaches so that participants experience a clear, coherent journey.
- Identify key operational risks (network failure, power issues, access problems, no‑shows, safety incidents) and prepare simple contingency plans, escalation paths, and on‑the‑day checklists.
Afternoon Focus: Running the Day – Live Operations, Support, and Event Closing
- Session 4: (Participant Services and Support Stations)
- Design and set up participant‑facing services—registration and helpdesk, info points, materials desk, tech support corner, food and refreshment stations—to minimise confusion and queueing during peak times.
- Put in place practices and micro‑rituals that support well‑being and inclusion (clear signage, accessibility considerations, quiet areas, time‑out spaces, feedback channels) so diverse participants can stay focused and productive.
- Session 5: (Running the event and Handling Real‑Time Issues)
- Operate the live event “control room”: monitor time, coordinate announcements, manage room changes, support coaches and judges, and keep the agenda on track without disrupting teamwork.
- Implement a simple ticketing or escalation method for technical, facility, and participant issues, enabling fast triage and resolution while keeping Program Designers and Coaches informed but not overloaded.
- Session 6: (Closing, Handover, and Continuous Improvement)
- Coordinate the final showcase and closing activities (room setup, AV checks, audience flow, awards logistics), ensuring a smooth experience for teams, judges, sponsors, and guests.
- Capture and package all essential post‑event information—attendance lists, artefacts, recordings, incident logs, feedback, and lessons learned—into a concise operations report and template that can be reused and improved for future AI Hackathons.
Part 4: Date, Fee and Registration
(4.1) Tuition Fee: In-house Service Only
(4.2) Date & Time: In-house Service Only
(4.3) Mode & Language: Face-to-face Model | Cantonese Presentation with English Materials
(4.4) Course Leaders: The course is designed and led by senior leaders of InnoEdge Consulting, who have conducted over 100 Hackathons across business, education, social, and public sectors in Hong Kong, Mainland China, and Asia. Drawing on this extensive cross-sector track record, they will share practical insights, field-tested tools, and governance approaches for running hackathons that deliver measurable outcomes rather than one-off ideas.
(4.5) Certification: Upon completing the course and required exercises, participants receive a Certificate of Completion.
Part 5: About the AI Hackathon Leading Series
The AI Hackathon Leading Course Series comprises four complementary courses that address the key roles in a successful AI Hackathon: designing the program, leading the event, coaching the teams, and managing operations. These courses equip Hackathon Leaders with the mindset, skill set, and AI Agents needed to run events that are strategically aligned, well facilitated, team-enabled, and operationally smooth.
| Course Titles | Roles | Details |
|---|---|---|
| 2-Day Designing High-Impact AI Hackathon Programs: From Vision to Runbook | Program Designers | Course | Execution |
| 2-Day Leading Inspirational Business AI Hackathons: Coach as Innovation Leader and Team Driver | Business Hackathon Coaches | Course | Execution |
| 2-Day Empowering Mission-Driven Social AI Hackathons: Coach as Game-Changing Engine and Team Leads | Social Hackathon Coaches | Course | Execution |
| 1-Day Operating Highly Effective AI Hackathons: Logistics, Facilities, and Participant Support | Event Support Managers | Course | Execution |
In addition to our AI Hackathon Leading Courses, we offer a comprehensive suite of AI Design Thinking (DT3.0) Courses organized into three tiers: Strategic, Tactical, and Foundational.
Part 6: Track Record
Since 2017, InnoEdge Consulting has managed more than 100 Public and In-house Hackathon Events and Hackathon Leading Courses. In addition, we co-hosted 11 innovation courses with universities, government bodies, and industry bodies (details) (right) and led more than 600 innovation classes. Class cover business (details), social services, and public sector (details), achieving proven results and strong industry recognition.
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