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