Augmented Kaizen and AI Root Cause Analysis

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Augmented Kaizen and AI Root Cause Analysis

This course is part of Lean Manufacturing and Operations with AI Specialization

Instructor: TSV Learning

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2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Identify waste, anomalies, and root causes using AI, process mining, and machine learning techniques.
Evaluate IoT, digital twins, reinforcement learning, and AI-enhanced PDCA for process optimization.
Design responsible AI-enabled improvement systems using explainability, data governance, ethics, and human oversight.

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This course is part of the Lean Manufacturing and Operations with AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
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There are 2 modules in this course

Transform continuous improvement with AI-powered Kaizen and root cause analysis. This course is designed for learners who want to use artificial intelligence and machine learning to detect waste, uncover operational causes, prevent failures, and scale measurable improvements.

You’ll explore digital GEMBA, process mining, dynamic value stream mapping, anomaly detection, causal analysis, computer vision, and natural language processing for faster, evidence-based root cause analysis. You’ll also examine IoT sensors, edge computing, digital twins, reinforcement learning, and AI-enhanced PDCA for scalable process optimization. Learn how explainable AI, data governance, ethics, workforce trust, and human oversight support responsible implementation. Applications across manufacturing, healthcare, supply chains, financial services, and IT show how AI-enabled continuous improvement can reduce downtime, streamline workflows, improve sustainability, and support successful change. By the end, you’ll be able to evaluate AI-powered improvement technologies, identify anomalies and root causes, and design sustainable, human-centered continuous improvement systems.

This module examines the evolution of Kaizen into an AI-enabled improvement system. Learners explore digital GEMBA, process mining, dynamic value stream mapping, digital waste, anomaly detection, machine learning models, causal analysis, computer vision, and NLP for faster, evidence-based root cause analysis.

What's included

4 videos3 assignments

This module evaluates the technologies and practices required to implement AI-powered improvement at scale. Learners examine IoT sensors, edge computing, digital twins, reinforcement learning, AI-enhanced PDCA, explainable AI, data governance, ethical adoption, industry applications, and autonomous Kaizen systems.

What's included

4 videos3 assignments

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Instructor

TSV Learning

The Skill Valley

95 Courses639 learners

Offered by

The Skill Valley

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