AI-DRIVEN DECISION SUPPORT SYSTEMS FOR ENERGY AND PRODUCTION OPERATIONS

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  • DURATION
    2 WEEKS
  • SUBJECT AREA
    Artificial Intelligence
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    0.0 HP
  • INSTITUTION
    REEDEAM
  • END DATE
    2025-02-22

COURSE DESCRIPTION

This course has flexibel start and you may join between November 18 and December 9, 2024

This course explores the integration of artificial intelligence (AI) in decision support systems specifically tailored for the energy and production sectors. Students will learn how AI technologies, such as machine learning, optimization, and data analytics, are transforming traditional operational strategies, enhancing decision-making processes, and driving efficiency in energy and production operations.

The curriculum will cover foundational concepts of AI and decision support systems, along with practical applications such as predictive maintenance, demand forecasting, process optimization, and real-time decision support. Through hands-on projects, case studies, and industry-relevant examples, participants will gain insights into designing and implementing AI-driven solutions that improve operational performance, reduce costs, and support sustainability goals.

By the end of this course, students will be equipped with the skills to develop and apply AI-driven decision support systems to solve complex challenges in energy and production environments. This course is ideal for professionals and students interested in leveraging AI for operational excellence in the energy and production industries.

You may join the course any time between November 18 and December 9, 2024. With the recommended study pace of 25%, the course would take approximately seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than February 22, 2025.

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