Global Learning for Operational Leaders
Professional training course
Certificate in Quality, Productivity and Cost Optimization Using AI
In this course, participants will delve into practical strategies for enhancing quality operations, optimizing costs, an... The outline covers Introduction to Productivity, Organizational Waste, and AI, Organizational an...
- 5 daysClassroom or online
- 14Upcoming dates
- 8Cities
- €1,625Fees from
Your week at a glance
- Day 1 Introduction to Productivity, Organizational Waste, and AI
- Day 2 Organizational and Personal Effectiveness and Efficiency
- Day 3 AI-driven Productivity and Quality Improvement Methodologies
- Day 4 Productivity Improvement Tools and Methodologies
- Day 5 Cost Optimization Opportunities and Creating the AI Mindset
Classroom
14 sessions
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Online / Live
14 sessions
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Introduction
Course overview
In this course, participants will delve into practical strategies for enhancing quality operations, optimizing costs, and harnessing the power of Artificial Intelligence (AI) to boost overall productivity. We will explore real-world case studies, cutting-edge AI strategies, and actionable insights that can drive significant improvements. By examining best practices and tools from organizations that have successfully implemented quality methodologies, participants will learn how to achieve faster process cycle times, fewer defects, and streamlined operations. Additionally, the course will cover how to leverage organizational culture to create a robust platform for adopting a forward AI-thinking mindset.
What you will achieve
Learning objectives
- Break down productivity concepts, types of organizational waste, and the role of AI
- Identify areas of poor organizational and personal effectiveness and efficiency and discuss practices and tools for improvement
- Analyze real-world case studies of organizations successfully implementing AI-driven productivity and quality improvement methodologies
- Apply quality improvement tools and techniques to improve processes, achieve faster cycle times, and reduce defects
- Explore effective cost-optimization strategies and understand how to leverage existing organizational culture to create a solid platform for adopting an AI-driven mindset
Who should attend
Target audience
- Managers, supervisors, and staff who are responsible for, or indirectly involved in, productivity and quality improvement initiatives using an AI mindset.
Methodology
Learning approach
- This course relies on exercises and workshops to engage participants and help them learn and apply new concepts and practices. Group and plenary discussions will be used, and participants will be required to debate and present their findings. In addition, videos with different case studies will be offered.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Introduction to Productivity, Organizational Waste, and AI
- Definitions of productivity, organizational waste, and AI
- Research on productivity
- Causes for poor productivity
- Coffee break
- Causes for poor productivity (continued)
- Productivity improvement approaches
- Productivity improvement focus areas: Staff, quality, and cost optimization
- Productivity factor
Day 2
Organizational and Personal Effectiveness and Efficiency
- Improving staff productivity at the workplace
- Sleep and its impact on productivity
- Six tips from Robin Sharma to unleash your productivity
- Efficiency defined and the quality approach
- Coffee break
- Efficiency defined and the quality approach (continued)
- Identifying the 'Muda' factor and value-added analysis
- Lean principles and the eight types of waste
- SMART practices for increasing productivity
Day 3
AI-driven Productivity and Quality Improvement Methodologies
- Introduction to AI within the context of quality improvement
- Overview of AI technologies and their applications in quality improvement
- Utilizing AI to collect, analyze, and interpret data for informed decision-making
- Predictive analytics for anticipating and mitigating quality issues
- Coffee break
- Predictive analytics for anticipating and mitigating quality issues (continued)
- Leveraging AI to identify bottlenecks and streamline workflows
- Lessons learned and best practices from real-world AI deployments
- Addressing ethical considerations and challenges in AI implementation
Day 4
Productivity Improvement Tools and Methodologies
- Productivity improvement project road map
- Tool selection guideline
- The seven fundamental quality tools
- Coffee break
- The seven fundamental quality tools (continued)
- Why-Why and How-How tree tools
- Six Sigma methodology
- The 5 S program for improving efficiency
Day 5
Cost Optimization Opportunities and Creating the AI Mindset
- Cutting cost strategically: Tips from the experts
- Setting up a cost-optimization program
- Barriers to cost optimization programs
- Coffee break
- Barriers to cost optimization programs (continued)
- Resistance psychology in humans
- Getting commitment to a cost-optimization program
- One hundred and forty ideas to optimize costs
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Certificate in Quality, Productivity and Cost Optimization Using AI. Can't find your answer?
What does Certificate in Quality, Productivity and Cost Optimization Using AI cover?
This course covers Quality and Productivity through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 9 - 13 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Managers, supervisors, and staff who are responsible for, or indirectly involved in, productivity and quality improvement initiatives using an AI mindset.
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Paris, Frankfurt, Amsterdam, London, Istanbul, Vienna, Barcelona, Cape Town.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
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