Event Troop KSA
dotpy.tech Delivers a 6-Day AI & Automation Transformation Program for Event Troop
In a market where medical and corporate event organizers are under growing pressure to move faster and personalize every client touchpoint, Event Troop partnered with dotpy.tech for a six-day, ground-up AI and automation program — taking the entire team from foundational AI literacy to building their own working AI agents. The result: a workforce equipped not just to understand artificial intelligence, but to deploy it inside their day-to-day event operations.
Members of the Event Troop team joined dotpy.tech's lead trainers for a live, hands-on session — part of a structured six-day curriculum spanning AI foundations through autonomous agent-building with Make.com and n8n.
Event Troop specializes in the planning and management of events across the medical sector, coordinating conferences, symposiums, and scientific gatherings on behalf of pharmaceutical and healthcare clients.
Day 1 — What Is AI? Foundations & the Business Case
The program opened by demystifying artificial intelligence for a non-technical, operations-driven audience. dotpy.tech's trainers walked the Event Troop team through the core building blocks — machine learning, deep learning, and large language models — using plain-language analogies rather than academic jargon, ensuring every participant, regardless of technical background, left with a working mental model of how modern AI systems actually function.
Rather than treating this as theory for its own sake, the session was anchored in the realities of event management: how AI is already reshaping attendee registration, client communication, vendor coordination, and post-event reporting across the events industry. Participants examined real-world case studies of AI adoption in medical and corporate event planning, setting a clear business rationale for everything that followed over the next five days.
By the end of Day 1, the Event Troop team had moved from "what is AI" to "where does AI create value in our business" — the essential mental shift that makes every subsequent technical module land with purpose rather than curiosity alone.
Day 2 — Prompt Engineering & the Modern AI Productivity Stack
Day two shifted from concepts to hands-on capability. Participants were introduced to structured prompt engineering — learning how to communicate with AI systems clearly, specifically, and reliably enough to get production-quality output on the first attempt. dotpy.tech's trainers demonstrated how a well-constructed prompt can turn a generic AI response into a tailored deliverable, whether that's a sponsor proposal, an event brief, or a client follow-up email.
The session then moved through dotpy.tech's standardized AI productivity toolkit — ChatGPT and Claude for writing and reasoning tasks, Gamma for instant presentation design, NotebookLM for turning event documentation into searchable knowledge, and Napkin AI for visualizing ideas quickly. Each tool was demonstrated against a real Event Troop use case, from building conference proposals to summarizing post-event feedback.
Participants left Day 2 with a personal toolkit of AI applications mapped directly to their daily responsibilities, along with reusable prompt templates for the tasks they perform most often.
Day 3 — AI for Data & Content: Automating Event Intelligence
With foundational fluency established, Day 3 focused on turning AI into an analytical partner. The team learned to use AI for data analysis — cleaning and interpreting attendee lists, budget spreadsheets, and vendor comparisons without manual spreadsheet gymnastics. Given the medical event scope of Event Troop's client base, particular attention was paid to handling sensitive registrant and healthcare-professional data responsibly while still extracting fast, actionable insight.
The second half of the day covered AI-assisted content generation for marketing and client communication: drafting sponsor decks, social media content, and multilingual event materials at a fraction of the previous turnaround time. Trainers also introduced GenSpark and Manus AI for research-heavy tasks such as venue sourcing and competitor benchmarking.
This module directly addressed one of Event Troop's most time-intensive bottlenecks — the manual compilation of data and content across multiple ongoing events — replacing hours of repetitive work with AI-assisted workflows the team could run independently.
Day 4 — Introduction to No-Code Automation with Make.com
Day 4 marked the program's transition from "using AI tools" to "building AI systems." Participants were introduced to Make.com as a no-code automation platform, learning the core building blocks of scenarios, modules, triggers, and data mapping. Working through Event Troop's own operational workflows, the team began by automating simple, high-frequency tasks — routing new registration form submissions into Google Sheets, triggering confirmation emails, and syncing vendor updates across tools.
Trainers emphasized a rule-based automation mindset first: understanding exactly how data flows between systems before layering AI into the mix. This deliberate sequencing gave the team a solid automation foundation, reducing the risk of building fragile or opaque systems later.
By the close of Day 4, participants had built and tested their first live Make.com scenarios — a milestone moment that turned automation from an abstract concept into a tool sitting directly in their own hands.
Day 5 — Building AI Agents with Make.com
Building on the previous day's automation foundation, Day 5 introduced AI agents — systems that don't just move data between apps, but reason, decide, and act. Participants connected OpenAI and Claude models directly into their Make.com scenarios, building their first functioning AI agents: a client-inquiry classifier that routes incoming event requests to the right team member, and a sponsor-proposal drafting assistant that generates a first draft directly from a brief intake form.
Special attention was given to designing agents with strict, deterministic behavioral instructions rather than open-ended conversational personalities — ensuring predictable, production-safe outputs suitable for real client-facing use. This is the same design philosophy dotpy.tech applies to its own internal assistants, and it gave the Event Troop team a professional-grade framework for every agent they build going forward.
Participants left Day 5 having deployed working AI agents inside real Make.com scenarios — no longer automation users, but automation builders.
Day 6 — Advanced Agentic Workflows with n8n & Real-World Application
The program closed with an introduction to n8n, a more advanced, self-hostable automation platform favored for complex, multi-step agentic workflows. Trainers walked the team through n8n's node-based logic, conditional branching, and its ability to orchestrate multiple AI agents working in sequence — capabilities particularly suited to the coordination-heavy nature of large-scale medical conferences with dozens of moving parts.
The final session was built entirely around Event Troop's own operations: participants designed an end-to-end agentic workflow that takes an incoming medical-event request from initial inquiry through proposal generation, vendor shortlist creation, and internal task assignment — with AI agents handling classification, drafting, and routing at each stage, and human team members retaining approval control at every critical checkpoint.
The program closed with each participant walking away with a live, working automation blueprint tailored to their own role — proof that six days was enough to move from "what is AI" to genuinely operational AI agents.
"We didn't just learn about AI — by day six, we had actual agents running inside our own workflows, handling the exact tasks that used to eat up our afternoons. dotpy.tech's team met us exactly where our business is."
— Training Participant, Event TroopKey Outcomes & Takeaways
- Full team fluency in core AI concepts, from machine learning fundamentals to large language models and AI agents
- A personal AI productivity toolkit spanning ChatGPT, Claude, Gamma, NotebookLM, GenSpark, and Napkin AI, mapped to daily event-management tasks
- Hands-on Make.com automation skills, including live scenarios built around Event Troop's own registration and vendor workflows
- Working AI agents deployed for client-inquiry classification and sponsor-proposal drafting
- Introductory command of n8n for advanced, multi-step agentic orchestration suited to large medical conferences
- A complete, end-to-end automation blueprint — from inquiry to task assignment — ready for rollout across live events
About dotpy.tech
dotpy.tech is a leading AI & Data Science training academy serving the MENA region, delivering practical, business-focused AI education to corporate teams, executives, and developers alike. From AI foundations to full automation and agentic systems, dotpy.tech equips organizations with the skills to operate — not just understand — the AI tools reshaping their industries.
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