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, and harnessing the power of Artificial Intelligence…
- 5 daysClassroom or online
- 13Upcoming dates
- 8Cities
- £2,850Fees from
Course overview
Why Attend
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.
Course Methodology
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.
Course Objectives
By the end of the course, participants will be able to:
- 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
Target Audience
Managers, supervisors, and staff who are responsible for, or indirectly involved in, productivity and quality improvement initiatives using an AI mindset.
Target Competencies
- Problem-solving
- Change management
- Applying quality
- Understanding strategic cost optimization
- Applying Lean
- Understanding AI concepts
Course outline
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1Day 1: Introduction to Productivity, Organizational Waste, and AI
- Definitions of productivity, organizational waste, and AI
- Research on productivity
- Causes for poor productivity
- Productivity improvement approaches
- Productivity improvement focus areas: Staff, quality, and cost optimization
- Productivity factor
-
2Day 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
- Identifying the 'Muda' factor and value-added analysis
- Lean principles and the eight types of waste
- SMART practices for increasing productivity
-
3Day 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
- 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
-
4Day 4: Productivity Improvement Tools and Methodologies
- Productivity improvement project road map
- Tool selection guideline
- The seven fundamental quality tools
- Why-Why and How-How tree tools
- Six Sigma methodology
- The 5 S program for improving efficiency
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5Day 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
- Resistance psychology in humans
- Getting commitment to a cost-optimization program
- One hundred and forty ideas to optimize costs
Schedule
Dates and fees
13 upcoming dates in 8 cities. Fees are per delegate; bring colleagues and every seat is discounted. Every date can also be joined live online for £1,050.
No dates in this city right now. Request a quotation and we will suggest the nearest date.
Join the class in real time from your office or home: live sessions with the trainer, group discussion, course materials and a certificate of completion. Joining details are emailed before the course starts.
Questions
Frequently asked questions
How long is the Certificate in Quality, Productivity and Cost Optimization Using AI course?
The course runs over 5 days of classroom training, usually Monday to Friday.
When is the next Certificate in Quality, Productivity and Cost Optimization Using AI course?
The next public date is 14 - 18 Dec 2026 in Frankfurt. There are 13 upcoming dates in total.
Where is this course held?
Upcoming sessions run in Frankfurt, Amsterdam, London, Istanbul, Vienna, Barcelona, Paris, Cape Town.
Can I take Certificate in Quality, Productivity and Cost Optimization Using AI online?
Yes. Every date can also be joined live online in a virtual classroom with the trainer, for £1,050 per participant. Choose "Live online" in the dates table when you register.
How much does the course cost?
Fees start from £2,850 per delegate, depending on the city. Fees include tuition and course materials.
Do participants receive a certificate?
Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.
Can this course be delivered in-house for our team?
Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.
Course information last updated 14 November 2026.
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