Skip to Content

Quality 4.0 Awareness & 

Adaptation Strategy

Transform Traditional Quality into Intelligent, Data-Driven Excellence


 Register Now

Course Overview

This future-focused course introduces participants to Quality 4.0, the strategic integration of digital technologies—such as AI, IoT, data analytics, and automation—into quality management systems. Designed for quality leaders, transformation managers, and digital strategy professionals, this program explores how to align traditional quality practices with Industry 4.0 technologies to unlock agility, predictive insights, and customer-centric innovation.

Participants will gain a strong foundational understanding of Quality 4.0 concepts, enablers, and frameworks, along with a practical roadmap for adoption tailored to their organization’s maturity. By bridging the gap between quality and digital transformation, this course equips organizations to remain competitive in the modern business environment.



Learning Objectives

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

  • Understand the core principles, drivers, and value proposition of Quality 4.0.

  • Recognize the key technologies enabling Quality 4.0, including AI, machine learning, cloud computing, and IoT.

  • Differentiate between traditional and digital quality paradigms.

  • Assess their organization's readiness for Quality 4.0 transformation.

  • Build a digital adaptation strategy aligned with quality and business objectives.

  • Identify use cases for predictive quality, real-time monitoring, and data-driven decision-making.

  • Create a phased Quality 4.0 roadmap for pilot, scale, and sustain stages.

  • Drive stakeholder buy-in and cultural alignment to support digital quality initiatives.

Course Modules

  • Module 1: Introduction to Quality 4.0

    • Evolution from TQM, Six Sigma to Quality 4.0

    • Industry 4.0 and its impact on quality paradigms

    • Why traditional quality needs to evolve

    • Global benchmarks and Quality 4.0 maturity models

  • Module 2: Enablers of Quality 4.0

    • Key technologies: AI, ML, Big Data, IoT, Cloud, RPA

    • Digital quality tools vs. traditional tools

    • Role of analytics in predictive and prescriptive quality

    • Integration with ERP, MES, and QMS platforms

  • Module 3: Quality 4.0 Adaptation Roadmap

    • Organizational readiness and capability assessment

    • Strategic alignment with business and IT

    • Piloting digital quality projects

    • Managing digital change and workforce upskilling

    • Metrics, KPIs, and success factors for Quality 4.0

Who Should Attend

  • Heads of Quality and Process Excellence

  • Digital Transformation Leaders

  • Quality Assurance/Compliance Managers

  • Operational Excellence Professionals

  • CIOs, CTOs, and Innovation Strategists

  • Business Unit Heads aiming to integrate smart quality systems

Duration & Format

  • Duration: 2 Days 
  • Delivery: Live Online / Onsite / Blended
  • Language: English & Arabic

Investment

  • Individual Price: $400
  • Group Discounts: Available
  • Corporate Packages: Custom quote available

What’s Included

  • Course Materials
  • Case Studies & Templates
  • Certification of Completion

Ready to Take the Next Step in Your Excellence Journey?

Let's turn your vision into reality. 

 Register No