Innovation in Artificial Intelligence Applications for Institutional Excellence

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About Course

Course Overview

Institutional excellence has become one of the most important challenges of the day. It is not enough to achieve the desired goals of the institution, but it is necessary to maintain continuous development and self-evaluation. This Innovation in Artificial Intelligence Applications for Institutional Excellence training course aims at introducing the concepts and standards of institutional excellence and building skills in how to innovate in the use of artificial intelligence software, regardless of the nature of the institution, to identify the strengths and opportunities for improvement. Thus, it achieves sustainable excellence in performance to reach high levels of excellence. This Regewall Training Institute training course offers an introduction to both artificial intelligence and innovation with an emphasis on the application of different methods in the domain of Institutional excellence.

By the end of this Innovation in Artificial Intelligence Applications for Institutional Excellence training course, participants will be able to:

  • Defining institutional excellence and measuring it using several criteria
  • Defining Artificial Intelligence and understanding its application areas, strengths, and limits
  • Using Artificial Intelligence in training, assessment, evaluation and institutional motivation
  • Definition of creativity and innovation
  • Applying innovation in institutional excellence

The Innovation in Artificial Intelligence Applications for Institutional Excellence training course is implemented through lectures, panel discussions, video presentations, and an interactive and non-stereotypical workshop by participants to ensure value added and enable participants to fully understand concepts and standards.

This training course is aimed at the leaders and the executive managers in the governmental and private institutions who are interested in institutional excellence and need to build skills on how to improve the status of the institution. Decision makers and those who are aware of the need for sustainable enterprise development can attend and contribute effectively to this Innovation in Artificial Intelligence Applications for Institutional Excellence training course.

Day One: Institutional Excellence

  • Concepts and components of institutional excellence
  • Methodologies for achieving sustainable excellence
  • Use the “Excellence Model” to generate positive improvements
  • Measurement system for excellence
  • Identify the current gap and opportunities for improvement to reach the target situation
  • Performance standards and objectives of the institution
  • Practical workshop to study the gap as a risk analysis

Day Two: An Introduction to Artificial Intelligence

  • The difference between machine intelligence and man
  • Smart Customers
  • Expert systems
  • Machine learning
  • Limits and areas of artificial intelligence
  • Practical application workshop on intelligent customer design

Day Three: Applying Artificial Intelligence in Organizational Excellence

  • Examples of distinct models from standard comparisons
  • Data analysis and information mining
  • Intelligent planning
  • Intelligent stimulation
  • Smart Training
  • Intelligent assessment and evaluation
  • Workshop practical application of artificial intelligence applications

Day Four: Introduction to Innovation and Creativity

  • Innovation and creativity
  • Urgent need for innovation and out of the box solutions
  • Lateral thinking and character types
  • Brainstorming sessions
  • Mind maps
  • Practical workshop for participants on mind maps and brainstorming

Day Five: Applying Innovation on Institutional Intelligence

  • Multiple thinking
  • The six hats
  • TRIZ method for problem solving
  • Improvement plans in the field of institutional excellence
  • Workshop for the practical application of participants on innovation in improvement plans
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What Will You Learn?

  • Defining institutional excellence and measuring using several criteria
  • Defining Artificial Intelligence and understanding its application areas, strengths and limits
  • Using Artificial Intelligence in training, assessment, evaluation and institutional motivation
  • Definition of creativity and innovation
  • Applying innovation in institutional excellence