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Role Play
13,334 students
Process Mining & Process Intelligence
Learn and practice how to combine data science and process mapping techniques to visualize processes with real data
Created byDennis Arrindell
Last updated 6/2026
English
What you'll learn
- Process Mining and Process Intelligence
- Learn applied process mining with free vibe-coded tools, so you master the logic, avoid vendor lock-in, and stay future-proof.
- The role of process mining in the broader context of business process management
- Hands-on practical experience with process mining use cases of various degrees of complexity
Explore related topics
Course content
15 sections • 69 lectures • 3h 40m total length
Requirements
- Students will need a computer with internet access and the ability to run Python files, preferably using Anaconda. Some familiarity with structured data is recommended, as process mining often requires basic data preparation and transformation before the data can be ingested into a process mining application.
Description
PROCESS INTELLIGENCE & PROCESS MINING: A TOOL-AGNOSTIC, CONCEPT-FIRST MASTERCLASS
*** This course contains the use of artificial intelligence. ***
Master process mining in a practical, modern, and tool-independent way.
This course teaches the foundations of process intelligence and process mining using a concept-first approach. Instead of depending on one commercial platform, you will learn the principles that apply across tools: event logs, cases, activities, timestamps, variants, bottlenecks, throughput, and process discovery.
The course has recently been streamlined from about 5 hours to less than 3 hours. Most older Celonis-specific content has been removed, and the course is now shifting toward free tools, AI-assisted workflows, and practical “vibe coding” approaches.
You may still find occasional Celonis references in the current material. These are being replaced gradually. Celonis remains useful as an industry example, but it is no longer the center of the course.
Why This Course Is Tool-Agnostic
Process mining tools are powerful, but they change over time. Features, interfaces, free plans, and licenses can all change.
That is why this course focuses on skills that last:
Understanding event logs
Discovering real process flows
Interpreting variants and deviations
Detecting bottlenecks
Analyzing throughput and case-level behavior
Communicating insights to decision-makers
The goal is to help you understand process mining itself, whether you later use Celonis, UiPath, Microsoft Process Mining, Apromore, Disco, PM4Py, Power BI, Python, or future AI-powered tools.
Free Tools and Vibe Coding
A major update to this course is the move toward free and flexible process mining practice.
The course includes free process mining tools and AI-assisted exercises that help you explore process mining concepts without depending on paid software.
You will learn how to use simple tools and AI support to:
Load event logs
Generate simple process maps
Explore variants
Find bottlenecks
Create basic dashboards
Build small process mining prototypes
These exercises are educational and intentionally simple. They are not meant to replace enterprise platforms. Their purpose is to help you understand what process mining tools are doing underneath the surface.
Process Mining With AI and LLMs
The course also explores how Large Language Models can support process mining work, including:
Explaining process graphs
Interpreting event logs
Generating hypotheses
Supporting Python code generation
Turning technical findings into clear management explanations
This prepares you for the future of process intelligence, where analytics, automation, and AI increasingly come together.
What You Will Learn
By the end of this course, you will be able to:
Explain the foundations of process intelligence and process mining
Work with event logs, cases, activities, and timestamps
Perform and interpret process discovery
Analyze variants, bottlenecks, and throughput
Use free tools for process mining practice
Build simple AI-assisted process mining prototypes
Apply process mining concepts in healthcare, finance, logistics, manufacturing, government, and operations
Communicate process insights clearly
Who This Course Is For
This course is useful for professionals and learners in:
Operations and production
Healthcare
Finance and government
Digital transformation
BPM, RPA, and process improvement
Analytics and data science
Manufacturing, logistics, and supply chain
It is also suitable for beginners who want to understand how real processes behave in practice, not just how they are drawn on paper.
What This Course Is NOT
This course is not:
A Celonis certification
A vendor-specific tool tutorial
A BPMN course
A full data science course
An enterprise integration course
A replacement for commercial process mining software
It is a practical, universal, concept-first process mining course with free-tool, AI-assisted, and illustrative industry examples.
Tool Access
Your learning does not depend on paid software.
Some commercial tools may be mentioned as examples, and some features may require paid licenses. But the core course can be completed using free tools, generic exercises, PM4Py-based examples, and AI-assisted prototypes.
Disclaimers
Celonis is a registered trademark of Celonis SE.
This course is independent and not affiliated with or endorsed by Celonis.
All demonstrations are conceptual and intended to teach universal process mining principles.
AI-assisted prototypes and vibe coding exercises are educational tools and are not intended to replace enterprise-grade process mining platforms.
Who this course is for:
- This course is most valuable for people that work in an organization in which products and services are the result of processes that leave a digital footprint. Examples are supervisors responsible for: Assembly line industrial manufacturing; Coordinating patient journeys through a hospital; The flow of loan applications at a bank; Logistic coordination and supply chain management. This course will radically transform the ability of students to discover, monitor and enhance these processes. People that work with systems such as Scientific management (Taylorism), Kanban, Lean Six Sigma, Theory of Constraints, Bottleneck Identification and Just-In-Time (JIT) will greatly benefit from this course, because process mining unlocks a data-driven factor into these approaches to production process management. Other types of students that will benefit from this course are: Individuals with a background in process mapping, flowcharting and business process modelling (BPM). Individuals with a background in data science that want to acquire skills that directly contribute to the value chain of organizations. Individuals curious about process mining.