🇬🇧 Live Webinar in English  ·  15 Apr 2026 · 17:00 CET  ·  €90  ·  Places limited to 6

MONTE CARLO
SIMULATION
& AI MODELLING
IN PRACTICE

A focused, hands-on session for project risk professionals who want to move from theoretical knowledge to working models — with AI as their analytical partner.

4.6
114 participant reviews
Energy Oil & Gas Construction Mining Utilities
📘  Based on chapters from AI and Risk Analysis in Projects — Taylor & Francis, 2026
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Live webinar · Online
Monte Carlo Simulation & AI Modelling in Practice
🗓️
Date & Time
15 April 2026 · 17:00 CET 🇬🇧
⏱️
Duration
2h 5' · Live · Places limited to 6
€90
per person · includes all materials
50% off your second attendee from the same organisation. Two places for €135 total.
Included with your ticket
Working Monte Carlo models (Excel): Cost Estimation, Risk Register, Project Valuation
AI prompt library for risk modellers
Distribution selection guide
Software purchasing guide
Recording access (48 hours)
Buy Single Seat — €90 Duo Seats — €135 (save €45)
Or register interest if date TBC
What this webinar covers

Two hours.
Six topics.
Zero filler.

This is not an introduction to risk management theory. It is a working session for practitioners who already understand the basics and want to build real quantitative models — with AI accelerating every step of the process.

01
The Monte Carlo Process — How It Actually Works
A clear, non-mathematical walkthrough of the simulation process: from risk variable identification and distribution assignment through to random sampling, iteration, and output interpretation. You will understand what the model is doing — and why it produces better decisions than single-point estimates.
02
Probability Distributions — Choosing the Right One
Triangular, PERT, normal, lognormal, uniform, discrete — each tells a different story about uncertainty. This session explains which distribution fits which situation, the practical consequences of choosing the wrong one, and how AI can help you select and justify distributions based on your data and expert input.
03
Building a Working Model — Live Demonstration
A step-by-step live build of a Monte Carlo cost risk model. You will see every decision — input structure, correlation assumptions, output configuration — made transparently in real time. The finished model is included in the materials pack for you to adapt immediately to your own projects.
04
AI as a Trusted Advisor for Modellers
How to use AI language models intelligently in the modelling process — not as an oracle, but as a structured thinking partner. Covers prompt design for assumption review, logic checking, bias identification, and translating probabilistic outputs into executive narratives. Includes a curated AI prompt library to take away and use immediately.
05
Communicating Results to Decision-Makers
A P80 number means nothing if leadership does not understand it. This session covers how to frame simulation outputs, present tornado charts and S-curves, justify contingency levels with probabilistic evidence, and use AI to generate clear, non-technical executive narratives from raw model outputs.
06
Risk Analysis Software — What to Buy and Why
An honest, agnostic, vendor-neutral guide to the main risk analysis software options available to practitioners — from Excel-based solutions through to specialist tools. Covers how to match your software choice to your organisation's actual needs, budget, and technical capacity.
Session agenda

Every minute
earns its place

Software agnostic. Session runs for 2h 5' with a short 5' break at the midpoint. All questions will be answered at the end.

0:00
15 min
Welcome & Framing the Problem
Why single-point estimates consistently fail on complex projects. The case for probabilistic thinking — grounded in real project data, not theory. What you will build and walk away with today.
ContextFraming
0:15
25 min
Monte Carlo Simulation — Process & Benefits
How the simulation engine works: distribution sampling, iteration, convergence, and output generation. Key outputs — P50, P80, S-curves, tornado charts — and how to read them correctly.
Monte CarloOutputsInterpretation
0:40
20 min
Probability Distributions in Depth
Triangular, PERT, normal, lognormal, uniform, discrete — when to use each and why it matters. Live examples showing how distribution choice changes model output. AI-assisted distribution selection demonstrated.
DistributionsPERTLognormalAI Selection
1:00
10 min
Short Break
Questions collected from chat. Brief pause before the modelling session.
1:10
25 min
Live Model Build + AI as Your Modelling Partner
Building a working Monte Carlo model live. At each step, AI prompts are used to review assumptions, challenge inputs, and validate logic. You see exactly how AI integrates into the modelling workflow — and where human judgment remains non-negotiable.
Live DemoAI PromptsExcel Model
1:35
15 min
Software Guide & Communicating Results
Vendor-neutral review of risk analysis software options. How to present simulation outputs to executives and boards. AI-generated narrative demonstration.
Software GuideReportingExecutive Narrative
1:50
10 min
Q&A & Wrap-Up
Open Q&A. Materials pack distributed. Next steps and further learning resources shared.
Q&AMaterials
Materials included

You leave with
tools, not just
knowledge

Every attendee receives the full materials pack immediately after the session. These are working documents you can adapt and use on your own projects from day one.

📊
Working Excel Monte Carlo Model
A fully documented cost risk simulation model built during the live session. Includes variable inputs, distribution parameters, correlation settings, and output charts — ready to adapt to your project.
🤖
AI Prompt Library for Risk Modellers
A curated set of validated AI prompts for every stage of the modelling process — distribution selection, assumption review, logic checking, sensitivity framing, and executive narrative generation.
📐
Distribution Selection Guide
A practical reference card covering the most commonly used probability distributions in project risk modelling — when to use each, what data you need, and worked examples for cost and schedule variables.
🛒
Risk Analysis Software Purchasing Guide
An honest, vendor-neutral comparison of the main risk analysis tools — including specialist software and Excel-based options. Covers capabilities, pricing tiers, learning curve, and organisational fit criteria.
📘
Chapter Extracts from the Book
Selected extracts from AI and Risk Analysis in Projects (Taylor & Francis, 2026) directly relevant to the webinar content — providing deeper reading and methodological context for each topic covered.
🎬
48-Hour Recording Access
Full recording of the session available for 48 hours after the live event — so you can revisit the model build, replay any section, and share with a colleague who could not attend live.
Who should attend

For practitioners
who are ready to
model, not just read

📋
Project & Risk Managers
Ready to move beyond heat maps and build quantitative models that actually inform decisions.
🏢
PMO Leaders & Analysts
Responsible for portfolio reporting and looking for a more rigorous, defensible approach to uncertainty.
📐
Cost Estimators & Planners
Building estimates that need to communicate confidence levels, not just point values.
💼
Consultants & Advisors
Expanding their quantitative capability or looking to integrate AI into existing risk workflows for clients.
📊
Finance & Investment Professionals
Applying probabilistic analysis to investment appraisal, capital allocation, or due diligence.
Prerequisites
Basic Excel. Familiarity with project management concepts. No prior Monte Carlo or AI experience required — though both are welcome.
Manuel Carmona
Manuel Carmona
MBA · PMI-RMP® · AI Expert Certificate · Published Author
Manuel has spent over 25 years building, validating, and teaching quantitative risk models for energy, construction, and technology organisations across Europe, the Middle East, and Asia-Pacific. He was EMEA Consulting Manager at Palisade — specialists in risk analysis software — and now runs EdytrAIning, combining deep modelling expertise with practical AI integration.
PMI-RMP® Authorised Instructor
AI Expert Certificate
MBA — University of Westminster
Former EMEA Consulting Manager, Palisade
Author — Taylor & Francis, 2026 & Marcombo, 2026
Trilingual — English, Spanish, French
PMI-RMP Authorised Instructor AI Expert Certificate
Pricing

Simple.
No hidden fees.

Price includes the live session, full materials pack, and 48-hour recording access. VAT may apply depending on your country of registration.

Single attendee
€90
per person
✓  Live 2-hour session
✓  Excel Monte Carlo model
✓  AI prompt library
✓  Distribution guide
✓  Software guide
✓  Book chapter extracts
✓  48-hour recording access
Pay €90 via PayPal
Secure payment · Opens PayPal
Two attendees · same company
€135
for two places
You save €45 — 50% off the second seat
✓  Everything in Single
✓  Two individual materials packs
✓  Two recording access links
✓  Ideal for team upskilling
Pay €135 via PayPal
Secure payment · Opens PayPal

For groups of 3 or more from the same organisation, contact us for a team rate at info@edytraining.com

Register your interest

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💡 This webinar is based on content from AI and Risk Analysis in Projects (Taylor & Francis, 2026). Attendees who have read the book will find the live session deepens and contextualises the material significantly.
📧 info@edytraining.com
Register & Book Your Place
15 April 2026 · 17:00 CET · Places limited to 6
Attendee details
Invoice details
Webinar fee€90.00
Total€90.00
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