العربية
العربية

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Course in Artificial Intelligence for Professionals

We have at Dubai Premier Centre (DPC) the Artificial Intelligence for Professionals course intended to introduce to the professional the essential AI tools and techniques. This course gives an in-depth understanding of artificial intelligence, its concepts, and their practical application in a contemporary workplace. Since technology has continuously evolved, AI has been one of the key tools that have become important in enhancing productivity and decision-making for innovation in all industries.

The participants will learn how to integrate AI into their professional role and apply it to complex problem-solving, including hands-on experience with machine learning and deep learning. The course focuses on strategies of AI and how effectively one can implement them within the modern business environment; ethical considerations and responsibility will be underlined in the AI applications. This course is one step toward professional development in AI, giving participants the necessary competencies to keep pace with the digital transformation of their fields.

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  • Schedule
January 13, 2025
February 17, 2025
March 24, 2025
April 21, 2025
  • Objectives and Target Group

  • Deepen the basics of AI: Provide participants with the very basics of artificial intelligence and its applications across various professional environments, focusing on the practical usage of AI tools and techniques.
  • Enhancing AI skills in professionals: Training in the use of AI for professional problem-solving and enhancing their understanding of how AI can streamline business processes and improve decision-making.
  • Hands-on exposure to AI: Let the participants work with machine learning and deep learning; drive digitization in their respective professional domains using predictive analytics.

Target Audience

  • Business/Technology: The course is designed for professionals in business management, IT, data analysis, and sales who want to enhance their skills in AI.
  • Project managers and business strategy professionals: project managers interested in learning how to integrate AI into corporate functions and implement digital transformation in their projects.
  • Data Analysts and Scientists: Data analysts interested in the fields of machine learning and deep learning to enhance their understanding for predictive analytics in business.
  • Professionals in the industry interested in enhancing their AI skills: People working in technology industries that want to enhance their knowledge in AI tools and techniques, and most importantly, how to apply them in practice.
  • Executives and leaders: senior executives who want to understand AI strategies and how to implement them effectively to improve decision-making and boost productivity in their organizations.

  • Content

  • AI and its Applications: An Introduction
    • Fundamentals of AI: Introduction to Artificial Intelligence, covering Machine Learning and Deep Learning, and how these technologies can be leveraged in professional contexts.
    • AI Tools and Techniques: Explains the tools and techniques of AI that professionals use to build smart applications and improve performance while reducing costs.
    • AI applications in the workplace: How professionals can integrate AI into their work environments, improving productivity and insight-driven decision-making.
  • Machine Learning and Deep Learning
    • Machine Learning Basics: This course will cover the basics of machine learning, from how to create AI models using data.
    • Deep Learning and Neural Networks: Deep learning research and how a professional can fully exploit artificial neural networks to improve the accuracy of models and increase applications.
    • Practical machine learning applications in business: How machine learning could be used to solve business problems and drive innovation into business operations.
  • Data Analysis and AI
    • Predictive analytics: How AI might contribute to predictive analytics in making professionals capable of taking decisions keeping in view the future trends.
    • Business Analytics with AI: An AI-driven insight into analysis to upgrade a business strategy by making it data-driven.
    • AI in Industry: This is the study of practical applications of AI in industries for operation enhancement and efficiency.
  • AI in Business and Strategy
    • Artificial Intelligence integration into business strategies: Integrating AI into the Business Strategy for Digital Transformation and Operational Efficiency by:.
    • AI in decision-making: Learn how AI powers better decision-making in business through data-driven insights to optimize business operations.
    • Business Automation with AI: Knowing how AI can automate business operations and improve efficiency in most departments.
  • Practical Applications and Development of AI Skills
    • Practical applications of AI in business: A study of how AI tools are being used to solve real-world business problems and improve daily operations.
    • Project-based learning provides first-hand experience in AI, offering real-world opportunities to apply tools and techniques learned to meet real-life challenges.
    • Innovation w/ AI: Helping the professional understand how AI drives innovation in business and assists in developing smart products and services.
  • Ethics and Responsibility in AI
    • Ethics of AI: Discussed are the ethical issues surrounding AI, including bias, transparency, and how to make sure it is used responsibly.
    • Social responsibility and AI: exploring the place of AI in social issues regarding the protection of privacy and fairness in decision-making.
    • Balancing between humans and AI: It will teach the balance required between human input and the technology of AI for optimal outcomes without losing human values.
  • Preparing for the Future of AI
    • AI and Digital Transformation: How to integrate AI into digital transformation efforts for growth and change at work.
    • AI in the Future: How AI innovations will affect business in the future and how to prepare for those changes.
    • Future Workforce Skills with AI: Enhancement in skills required to stay on top of future AI development in various business domains.

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