ISO 90001:2015 & ISO 18001: 2007 Certified training Centre

Innovation in Artificial Intelligence Applications for Institutional Excellence

Innovation in Artificial Intelligence Applications for Institutional Excellence

$3500.00


Day One: Introduction to Artificial Intelligence and Institutional Excellence

  • The interviewer:

    • Definition of artificial intelligence and its importance in the business world.

    • The role of innovation in enhancing institutional excellence.

    • Real examples of successful AI applications in organizations.

  • Objectives:

    • Understanding the basics of artificial intelligence and its relationship with institutional development.

    • Identifying areas for improvement within the organization using artificial intelligence.

  • Learning method:

    • Interactive lectures.

    • Open discussions about real examples.


Day Two: AI Tools and Techniques

  • The interviewer:

    • An overview of the tools and techniques used in artificial intelligence.

    • Machine Learning and Neural Networks.

    • Big data analysis and its use in decision-making.

  • Objectives:

    • Familiarizing oneself with modern artificial intelligence technologies and their application tools.

    • Applying machine learning concepts to solve institutional problems.

  • Learning method:

    • Technical workshops to try out the tools.

    • Practical examples.


Day Three: Artificial Intelligence and Institutional Innovation

  • The interviewer:

    • How to employ artificial intelligence in enhancing institutional innovation.

    • Building a culture of innovation within the organization.

    • Automating business processes using artificial intelligence.

  • Objectives:

    • Developing strategies for implementing artificial intelligence in institutional activities.

    • Enhancing innovative thinking in the workplace.

  • Learning method:

    • Case studies.

    • Brainstorming sessions.


Day Four: Ethics and Challenges of Artificial Intelligence

  • The interviewer:

    • Ethics in the use of artificial intelligence in institutions.

    • Challenges of implementing artificial intelligence and ways to overcome them.

    • Building trust in artificial intelligence systems.

  • Objectives:

    • Understanding the ethical aspects and challenges associated with the application of artificial intelligence.

    • Identifying solutions to ensure responsible and effective use.

  • Learning method:

    • Open discussions about laws and ethical frameworks.

    • Presenting challenges and real-life experiences.


Day Five: Preparing an Action Plan for Implementing Artificial Intelligence

  • The interviewer:

    • Developing a comprehensive plan for implementing artificial intelligence in the organization.

    • Measuring the impact of artificial intelligence on institutional performance.

    • Comprehensive review and final evaluation.

  • Objectives:

    • Designing a customized operational plan for the organization.

    • Performance evaluation to achieve institutional excellence using artificial intelligence.

  • Learning method:

    • Group workshops for designing plans.

    • Presentations for the participants.


Target audience of the course:

  • Administrative leadership in institutions.

  • Innovation and business development officials.

  • Those interested in applying artificial intelligence to improve institutional performance.


Learning style:

  • Interactive learning through lectures, workshops, and case studies.

  • Using brainstorming techniques and teamwork to generate ideas.

  • Direct hands-on application of artificial intelligence tools.