Training bag

Artificial intelligence and its impact on the industry of the future

5 days

Artificial intelligence and its impact on the industry of the future

The bag includes the following files:

  1. Power Point presentation slides
  2. Word Instructor's Manual
  3. Trainee Note ( Word )
  4. Word worksheets
  5. Introductory guide to the Word bag
  6. Pre-test and post-test Word
  7. Word training course
  8. evaluation form

All files are open and editable

Overall goal:

The ultimate goal of implementing artificial intelligence (AI) in the workplace is to augment human capabilities and create a more efficient, productive, and data-driven work environment.

  • 1.Increase Efficiency and Productivity

    Repetitive tasks and data analysis can be automated by AI,freeing up human employees to focus on more strategic work and creative problem-solving.

  • 2.Enhanced Decision-Making

    AI can analyze vast amounts of data to identify patterns and trends that humans might miss.This empowers businesses to make data-driven decisions,leading to better outcomes.

  • 3.Improved Customer Experience

    AI-powered chatbots and virtual assistants can provide 24/7 customer support, personalize interactions, and streamline the customer journey.

  • 4.Reduced Costs

    Automating tasks and optimizing processes with AI can significantly reduce operational costs,leading to improved profitability.

  • 5.Innovation and New Products

    AI can be used to generate new ideas, analyze market trends, and optimize product development, leading to a constant stream of innovation.

  • 6. Improved Employee Engagement and Well-being

    AI can automate administrative tasks and repetitive data entry, freeing up employees to focus on more engaging and fulfilling work.AI-powered tools can also personalize training and upskilling opportunities ,fostering a culture of continuous learning and growth.

  • 7.Enhanced Safety and Quality Control

    In industries like manufacturing and healthcare,AI can be used to monitor processes,identify potential hazards,and ensure product quality.This leads to a safer work environment and improved product consistency.

  • 8. Personalized Learning and Development

    AI-powered learning platforms can personalize training programs based on individual needs and skill gaps.This helps employees learn more effectively and efficiently,closing the skill gap and maximizing individual potential.

  • 9.Globalized Collaboration

    AI-powered translation tools can break down language barriers and facilitate smoother communication and collaboration between teams across different regions.This fosters a more inclusive work environment and allows businesses to leverage a global talent pool.

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DAY ONE

Training Session (Introduction to Artificial Intelligence)

Training Session one

  • Introduction
  • Pre-Evaluation Test
  • The Fourth Industrial Revolution
  • The Essence of Artificial Intelligence
  • The Historical Development of Artificial Intelligence and Its Use in Work Fields
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Characteristics, Applications, and Obstacles of Artificial Intelligence)

Characteristics and Types of Artificial Intelligence

  • Applications and Fields of Artificial Intelligence
  • Obstacles to the Use of Artificial Intelligence in Institutions
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the First Training Day
  • Survey on the First Training Day

DAY TWO

Training Session one

First Training Session (AI Tools and Problems to Avoid in Its Use)

Reasons for Institutions' Interest in Artificial Intelligence

  • AI Tools and Techniques in Work Fields
  • Problems to Avoid in the Use of Artificial Intelligence in Work
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Employing AI in Work)

  • Employing AI in Institutional Work
  • Employing AI in Creative Utilization of Available Human and Material Resources
  • Using AI to Accelerate the Implementation of Developmental Programs and Projects to Achieve the Future
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Second Training Day 80
  • Survey on the Second Training Day 82

DAY THREE

Training Session one

First Training Session (Expert Systems and Their Role in Institution Management)

  • Definition of Expert Systems
  • Characteristics of Expert Systems
  • The Role of Expert Systems in Institutional Management
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Types and Structure of Expert Systems and Development Requirements)

  • Types of Expert Systems
  • Structure of Expert Systems
  • Requirements for the Development and Life Cycle of Expert Systems
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Third Training Day
  • Evaluation Test
  • Survey on the Third Training Day

DAY FOUR

Training Session one

First Training Session (Artificial Intelligence in the UAE)

  • Motivations for the UAE's Initiative to Activate Artificial Intelligence for Future Foresight
  • Achievements of the UAE in the Field of Artificial Intelligence
  • Economic Implications of Activating AI Technologies at the UAE Level
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Mechanisms for Activating AI in the UAE)

  • Mechanisms for Activating AI at the Educational Level in the UAE
  • Mechanisms for Activating AI at the Social Level in the UAE
  • Mechanisms for Activating AI at the Governmental Level in the UAE
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Fourth Training Day
  • Survey on the Fourth Training Day

DAY FIVE

Training Session one

First Training Session (Goals of the UAE National AI Strategy 2031)

  • The First and Second Goals of the UAE National AI Strategy 2031
  • The Third and Fourth Goals of the UAE National AI Strategy 2031
  • The Fifth and Sixth Goals of the UAE National AI Strategy 2031
  • The Seventh and Eighth Goals of the UAE National AI Strategy 2031
  • Trainer's Model for Assessing Trainee's Performance Level

Training Session two

Second Training Session (Types and Structure of Expert Systems and Development Requirements)

  • Types of Expert Systems
  • Structure of Expert Systems
  • Requirements for the Development and Life Cycle of Expert Systems
  • Trainer's Model for Assessing Trainee's Performance Level
  • Workshop of the Third Training Day
  • Evaluation Test
  • Survey on the Third Training Day
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Artificial intelligence and its impact on the industry of the future

Artificial intelligence and its impact on the industry of the future

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