Waiting List is currently open for QRM Diploma + AI
QRM Diploma + Ai Utilization.
Learn how to Quantify your first Risk in the First Week. Utilizing AI to make it even easier.
Why QRM Diploma?
QRM Diploma is designed to help with one thing.
Integrating Risk Management into decision making. As every decision is a gamble. Even non-decision is a gamble
It doesn't have to be an uncontrolled gamble.
It should be a controlled gamble.
For this reason. QRM Diploma focuses on Risk Quantification. Understanding How much Value at Risk (VaR).
So, decisions are taken based numbers not just gut feelings.
We depend less on Heat Maps and More on Risk Quantification.
In order to do this there is 3 major objectives.
1- Reducing Guess work when it comes to Risk Management 2- Providing defensible forecasts, that the board can understand. 3- Provide enough clarity for the reasoning for this forecasts.
This applies to Schedules, budgets, Profitability, Revenues, you name it.
QRM vs Heat Maps
Heat Maps was designed to illustrate the Risks we have and its ranking.
It has some draw backs: 1- You can't aggregate the risks using a heat map. 2- It is confusing Risk scoring can have the same score but different values. 3- It doesn't connect in the same unit of measurement with the company objectives.
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Risk Management in 2025
Now in 2025. To be a Qualified Risk Manager You need to have skills like:
Quantify Risks in Budgets.
Quantify Risks in Schedules.
Quantify Companies Risk Register.
Not just for sake of Quantification.
But to provide Risk Aware Decisions
Based on Data do not guess.
Those skills only few do have.
However, many employers are looking for.
Qualified Risk Manager (QRM) Diploma Program
It is a learning path to gain all of these skills.
I’m not talking about theory; it is a practical framework.
That you can start to apply
from next week in from starting the Training.
Also, Past student got career advancements and getting even better jobs.
Utilizing Ai + QRM
We are lucky to be in the world of Ai.
But Ai, it has its own Risks.
It can provide you wrong information. It can apply wrong approaches. It can provide wrong results.
Our Approach in the QRM Diploma. Is not to depend on Ai but utilize Ai to make your life easier.
You will have GPTs or Prompts that you can use for day-to-day activities.
So you will learn to be knowledgeable about QRM. And Ai will be your best assistant to implement, and your knowledge to judge.
Program Breakdown:
Stage 1: Laying the Foundation
Introduced to Monte-Carlo Simulation
Quantify your First Risks
Learning Probability Distribution.
Building your Risk Data Engine (RDE™)
Stage 2: Building Your Risk Models
Now it gets real.
You’re going to dive deep into creating Cost and Schedule Risk Models.
That allow you to predict chances of Budget Overrun or timeline delays.
Integrating Cost and Schedule Risk Models to create models to Tradeoffs Cost with Time.
Stage 3: Converting Risk Data into Decisions
Now you have collected the Risks Data. You have Built the Risk Model. You have demonstrated themodel's insights.
Then What? It is decision making time.
You will learn how to take decisions that align with your organization Risk tolerance. Not just decisions that make sense, but decisions that within organization Risk Tolerance Barrier.
What we call a risk aware decision.
Decision that will most probably have a positive impact on the Project and/or organization.
This how we shift from Risks into Decisions that save profits
Here’s How to Join:
Fill out application form.
Approved Professionals, will be added to the waiting list.
Registration will open on the 14th of August.
Diploma will start 25th of August.
Disclaimer: Not all of the approved professionals will guarantee a seat at the Diploma, as it will be limited seats.
Instructor
Rami Atef Salem
Rami is a seasoned risk management professional with 14 years of experience in the Oil and Gas industry, specializing in Quantitative Risk Assessment (QRA), decision-making models, and project risk analysis. As an expert in Safran Risk and advanced risk techniques, he has guided countless professionals in transitioning from qualitative to quantitative approaches in risk management.
