Process Mining, Optimization & Intelligent Virtual Assistants

The Process Mining, Optimization & Intelligent Virtual Assistants course is a 5-day enterprise-grade training designed to empower professionals with the ability to analyze, optimize, and automate complex business processes using data-driven insights and conversational AI technologies. Participants will learn to apply process mining tools such as Celonis and UiPath Process Mining to identify inefficiencies, measure KPIs, and drive operational excellence. The course also explores the design and deployment of intelligent virtual assistants (IVAs) powered by NLP and Large Language Models (LLMs), enabling organizations to enhance customer engagement, internal efficiency, and automation maturity. This training bridges business process intelligence with AI-driven conversational automation to create next-generation enterprise solutions.

Objectives of the Training

Understand process mining fundamentals and their role in digital transformation.
Learn to collect, visualize, and analyze process data using process mining tools.
Identify automation opportunities and process bottlenecks through data-driven discovery.
Design and deploy intelligent virtual assistants using NLP and AI platforms.
Integrate RPA, chatbots, and process mining into a unified automation ecosystem.
Apply optimization strategies to enhance efficiency, compliance, and decision-making.

Prerequisites

Basic understanding of business workflows and process automation concepts.
Familiarity with databases, Excel, and data visualization tools.
No prior programming experience is required, though an analytical mindset helps.
Awareness of AI or RPA tools (optional but beneficial).

What You Will Learn

End-to-end process mining using Celonis, UiPath Process Mining, or similar tools.
Process discovery, conformance checking, and performance analysis.
Techniques to optimize processes using automation insights and KPIs.
Building and deploying intelligent virtual assistants with NLP and LLMs.
Integrating chatbots with RPA and enterprise systems for unified automation.
Designing conversational flows and optimizing AI-assisted interactions.

Target Audience

This course is ideal for Business Analysts, Process Automation Specialists, Data Analysts, RPA Developers, and AI Engineers. It also benefits Operations Managers, Customer Experience Leaders, and Digital Transformation Teams seeking to leverage process intelligence and conversational AI to enhance business efficiency.

Detailed 5-Day Curriculum

Day 1 – Foundations of Process Mining & Process Intelligence (6 Hours)

Session 1: Introduction to Process Mining – Concepts, Frameworks, and Benefits.
Session 2: Understanding Event Logs, Data Models, and Key Performance Indicators.
Session 3: Process Discovery using Celonis / UiPath Process Mining Tools.
Hands-on: Importing Process Data and Visualizing Process Flows.

Day 2 – Process Analysis, Bottleneck Detection & Optimization (6 Hours)

Session 1: Root Cause Analysis, Conformance Checking, and Performance KPIs.
Session 2: Identifying Automation Opportunities via Data Insights.
Session 3: Designing Optimization Strategies and Process Governance Models.
Workshop: Analyzing Real-World Enterprise Process Logs for Optimization.

Day 3 – Intelligent Automation & Process Integration (6 Hours)

Session 1: Connecting Process Mining Insights to RPA and AI Workflows.
Session 2: Automating Identified Bottlenecks using UiPath or Power Automate.
Session 3: Using AI/ML to Predict Process Deviations and Recommend Actions.
Hands-on: Creating an Automated Process Dashboard for Enterprise Decision-Making.

Day 4 – Intelligent Virtual Assistants (IVAs) & Conversational AI (6 Hours)

Session 1: NLP & LLM Foundations for Virtual Assistants – ChatGPT, Dialogflow, and Azure Bot Framework.
Session 2: Designing Conversational Flows and Context Management.
Session 3: Integrating IVAs with RPA, CRMs, and Backend Systems.
Workshop: Building an Intelligent Assistant for Customer Support or HR Operations.

Day 5 – End-to-End Automation & Capstone Project (6 Hours)

Session 1: Designing Enterprise Automation Ecosystems combining Process Mining, RPA, and AI.
Session 2: KPI Measurement, ROI Analysis, and Performance Tracking.
Session 3: Capstone Project – Optimize, Automate, and Deploy a Unified Intelligent Process Solution.
Panel Discussion: The Future of Process Intelligence and Conversational AI in Enterprises.

Capstone Project

Participants will identify a business process, perform mining and analysis, and design an optimized automation strategy incorporating an intelligent virtual assistant. Using tools such as Celonis, UiPath, or Power Automate, participants will automate workflows, integrate chatbots, and deliver an end-to-end process improvement framework. The project demonstrates real-world enterprise transformation using AI, automation, and process intelligence.

Future Trends in Process Mining & Intelligent Automation

Process Mining is rapidly evolving into a cornerstone of hyperautomation strategies. The fusion of AI, LLMs, and real-time data analytics enables predictive process optimization and intelligent orchestration. Virtual Assistants are becoming more context-aware, leveraging generative AI to provide adaptive, human-like experiences. Enterprises embracing the integration of Process Intelligence, RPA, and Conversational AI will lead the next era of intelligent digital transformation, driving agility, compliance, and operational excellence.