Prepare yourself for the AI-Powered Operational Excellence and Process Mining course

Artificial intelligence and process mining are reshaping Operational Excellence. Where traditional OPEX relied on workshops, interviews, and stopwatches, modern practitioners use event-log data to reconstruct processes objectively, machine learning to predict failures, and large language models to accelerate analysis. This AI-Powered Operational Excellence and Process Mining training course bridges classical OPEX with the new digital toolkit, equipping delegates to deploy AI responsibly within their improvement programmes.

The learning journey

Course Summary Outline

Day 1

The Digital OPEX Landscape

Day 2

Process Mining

Day 3

Automation and Robotic Process Automation (RPA)

Day 4

Machine Learning and Predictive Operations

Day 5

Generative AI and the Digital OPEX Roadmap

Key Learning Outcomes and Objectives?

By the end of this training course, participants will be able to:

  • Apply process mining to reconstruct as-is processes from event logs
  • Identify automation, RPA, and AI opportunities across operational processes
  • Use machine learning for predictive maintenance and quality forecasting
  • Deploy large language models for documentation, SOP generation, and root cause analysis support
  • Govern AI initiatives ethically and in line with data protection requirements
  • Build a digital OPEX roadmap integrated with existing Lean and Six Sigma programmes

The Excentra Learning Approach

The training course combines conceptual instruction with hands-on demonstrations of process mining tools (Celonis-style), low-code automation platforms, and generative AI applications. Delegates work with sample event logs and case studies drawn from manufacturing, banking, and shared services.

Excentra capability map

Six capabilities, and how far this course takes each one

Every Excentra course is mapped against the same six AI capabilities, so you can see at a glance what a course builds and compare it with any other in the catalogue.
01

Data Intelligence

Locate, prepare and profile event logs so a process can be mined from them.
02

Intelligent Monitoring

Bottleneck detection, predictive maintenance and quality indicators, model drift monitoring.
03

Document Intelligence

Draft procedures and root-cause summaries with language models, then check them against sources.
04

Workflow & Agent Design

Score automation candidates, redesign the flow first, place human review points.
05

Responsible Implementation

AI ethics, data protection and governance principles applied to each day’s artefact.
06

Business Transformation

Build, present and defend a phased digital operational excellence roadmap on day five.

Is This Course Right for You?

This AI-Powered Operational Excellence and Process Mining training course is suitable for a wide range of professionals, but will particularly benefit:

  • Operational Excellence and Continuous Improvement leaders
  • Digital Transformation Managers and Architects
  • Process and Business Analysts
  • Operations Directors evaluating AI investments
  • IT and Data leaders supporting OPEX programmes

Frequently Asked Questions

The AI-Powered Operational Excellence and Process Mining training course is designed for professionals responsible for improving processes, leading digital transformation or supporting operational technology decisions. It particularly benefits Operational Excellence and Continuous Improvement leaders, process and business analysts, Digital Transformation Managers and Architects, and Operations Directors evaluating AI investments. IT and Data leaders supporting operational excellence initiatives will also find the content relevant to their responsibilities.
Participants will learn how process mining, machine learning and generative AI can support modern operational improvement. The AI-Powered Operational Excellence and Process Mining training course covers reconstructing as-is processes from event logs, identifying automation opportunities, predicting maintenance and quality issues, and using large language models for operational documentation. It also addresses responsible AI governance and the development of a digital OPEX roadmap aligned with Lean and Six Sigma.
The course explains how to use process mining to reconstruct an objective view of as-is operational processes from event logs. Participants learn how process data can reveal actual process flows rather than relying solely on conventional analysis methods. The content includes Celonis-style process mining tools and helps process analysts and improvement leaders understand how data-led process discovery can inform operational decisions.
The course helps participants assess operational processes for opportunities involving automation, robotic process automation and artificial intelligence. It connects process visibility with decisions about where digital technologies may support improvement. Low-code automation platforms are also included in the course content, giving Operational Excellence, Digital Transformation and IT leaders a clearer basis for evaluating potential applications across existing processes.
Participants will learn how machine learning can be used for predictive maintenance and quality forecasting. This includes understanding how operational data may help anticipate equipment failures or emerging quality issues before they disrupt performance. The topic is particularly relevant to operations leaders, data specialists and improvement professionals who need to evaluate predictive analytics as part of operational decision-making.
Large language models are covered as tools for accelerating documentation, generating standard operating procedures and supporting root cause analysis. Participants will learn where generative AI can assist with common Operational Excellence responsibilities while remaining part of a governed improvement approach. This knowledge can help process owners and analysts evaluate appropriate uses of AI for creating, reviewing and structuring operational information.
Yes, the course covers the ethical governance of AI initiatives and alignment with data protection requirements. Participants learn to consider responsible deployment alongside the operational benefits of artificial intelligence. This is relevant to Operations, IT, Data and Digital Transformation leaders who must ensure that AI-enabled improvement initiatives are governed appropriately rather than assessed only for technical or efficiency benefits.
The course positions artificial intelligence and process mining as additions to existing Lean and Six Sigma approaches rather than isolated technologies. Participants learn to build a digital OPEX roadmap that integrates new analytical and automation capabilities with established improvement methods. This helps Continuous Improvement leaders plan how event-log analysis, predictive analytics and generative AI can fit within their current operational excellence structures.

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