The British Academy for Training and Development offers this training program titled “Artificial Intelligence for Business and Organizations”, aiming to provide participants with a comprehensive understanding of artificial intelligence and its practical applications within modern business environments.

In light of rapid digital transformation, artificial intelligence has become one of the primary drivers of innovation and operational efficiency within organizations. Its use is no longer limited to technology companies, but has expanded to areas such as marketing, human resources, logistics, financial services, and beyond.

This program enables participants to recognize the true potential of artificial intelligence and develop strategic insights into how AI can be effectively integrated into organizational operations, supporting competitive advantage in a market increasingly driven by automation and data-based decision-making.

Who Should Attend?

• Managers and department heads seeking to enhance business performance through artificial intelligence technologies.

• Entrepreneurs and owners of small and medium-sized enterprises aiming to strengthen competitiveness through AI solutions.

• Professionals interested in data analytics and data-driven decision-making within organizations.

• Information technology specialists seeking to expand their knowledge of artificial intelligence fundamentals and practical applications.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand fundamental and advanced artificial intelligence concepts and technologies.

• Explain how artificial intelligence can transform operational processes within organizations.

• Explore tools and technologies that facilitate the integration of artificial intelligence into business environments.

• Develop data analysis skills and use insights to improve organizational decision-making.

• Identify effective opportunities for applying artificial intelligence within their organizations.

• Introduction to Artificial Intelligence

  • Definition of artificial intelligence and its areas of application.

  • Differences between artificial intelligence, machine learning, and deep learning.

  • Key achievements and recent developments in artificial intelligence.

• Components of Artificial Intelligence Systems

  • Inputs, processing, and outputs in AI systems.

  • Role of data and algorithms in building intelligent solutions.

  • Characteristics of intelligent systems compared to traditional systems.

• Workplace Transformation Through Artificial Intelligence

  • How artificial intelligence is reshaping existing business models.

  • Task automation and improvement of operational efficiency.

  • Enhancing customer experience through intelligent systems.

• Organizational Applications of Artificial Intelligence

  • Using artificial intelligence in market data analysis.

  • Applications in human resources management and supply chains.

  • AI tools in customer relationship management.

• Data Analysis Tools and Techniques

  • Introduction to tools such as Python and Power BI in artificial intelligence.

  • Data collection methodologies and preparation for analysis.

  • Data visualization and its role in decision-making.

• Introduction to Machine Learning Algorithms

  • Differences between supervised and unsupervised learning.

  • Examples of machine learning algorithms used in business.

  • Selecting the appropriate algorithm for practical applications.

• Planning and Implementing Artificial Intelligence Projects

  • Identifying opportunities and problems suitable for AI-driven improvement.

  • Developing a roadmap for artificial intelligence adoption.

  • Phases of developing and deploying AI solutions.

• Challenges and Risks in Artificial Intelligence Implementation

  • Resistance to change within organizations.

  • Data quality and availability challenges.

  • Legal and regulatory considerations in AI usage.

• Using Artificial Intelligence to Support Decision-Making

  • Building predictive systems to assist decision-making.

  • Classification, prediction, and pattern analysis techniques.

  • Applications of artificial intelligence in strategic planning.

• Artificial Intelligence Ethics and Data Privacy

  • Ethical considerations in designing intelligent solutions.

  • Protecting personal data within intelligent work environments.

  • Transparency and accountability practices in the use of artificial intelligence.