{"id":26020,"date":"2024-10-31T13:13:12","date_gmt":"2024-10-31T10:13:12","guid":{"rendered":"https:\/\/esi.edu.sa\/?post_type=courses&#038;p=26020"},"modified":"2024-10-31T13:13:12","modified_gmt":"2024-10-31T10:13:12","slug":"data-analysis-in-engineering-systems-using-artificial-intelligence","status":"publish","type":"courses","link":"https:\/\/esi.edu.sa\/en\/courses\/data-analysis-in-engineering-systems-using-artificial-intelligence\/","title":{"rendered":"Data Analysis in Engineering Systems Using Artificial Intelligence"},"content":{"rendered":"<p dir=\"ltr\"><strong>Course Overview:<\/strong><\/p>\n<p dir=\"ltr\">This course provides a comprehensive understanding of data analysis techniques in engineering systems through the application of artificial intelligence (AI). It focuses on leveraging AI algorithms and machine learning models to analyze complex datasets, enabling participants to make informed decisions, optimize processes, and enhance system performance.<\/p>\n<p dir=\"ltr\"><strong>Course Objectives:<\/strong><\/p>\n<p dir=\"ltr\">\u2022 Understand the principles of data analysis and the role of AI in engineering.<br \/>\n\u2022 Learn how to preprocess and clean data for effective analysis.<br \/>\n\u2022 Gain proficiency in applying machine learning algorithms to engineering problems.<br \/>\n\u2022 Develop skills in interpreting results and visualizing data insights.<br \/>\n\u2022 Equip participants with the ability to implement AI solutions in real-world engineering applications.<\/p>\n<p dir=\"ltr\"><strong>Course Content:<\/strong><\/p>\n<p dir=\"ltr\">\u2022 Introduction to Data Analysis: Overview of data types, sources, and the importance of data in engineering.<br \/>\n\u2022 Data Preprocessing: Techniques for cleaning, transforming, and preparing data for analysis.<br \/>\n\u2022 Machine Learning Fundamentals: Introduction to supervised and unsupervised learning algorithms.<br \/>\n\u2022 AI Applications in Engineering: Case studies showcasing AI applications in various engineering fields.<br \/>\n\u2022 Data Visualization Techniques: Tools and methods for presenting data insights effectively.<br \/>\n\u2022 Hands-On Projects: Practical exercises using real datasets to apply learned concepts and tools.<\/p>\n<p dir=\"ltr\"><strong>Target Audience:<\/strong><\/p>\n<p dir=\"ltr\">This course is intended for engineers, data analysts, and technical professionals in the engineering sector who wish to enhance their data analysis skills using AI. It is also suitable for graduate students in engineering and computer science fields looking to expand their knowledge of AI applications in engineering systems.<\/p>\n","protected":false},"author":671,"featured_media":26193,"template":"","course_category":[36],"class_list":["post-26020","courses","type-courses","status-publish","has-post-thumbnail","hentry","course_category-mechanical-engineering","infinite-scroll-item","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/26020","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses"}],"about":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/types\/courses"}],"author":[{"embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/users\/671"}],"version-history":[{"count":2,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/26020\/revisions"}],"predecessor-version":[{"id":26022,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/courses\/26020\/revisions\/26022"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/media\/26193"}],"wp:attachment":[{"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/media?parent=26020"}],"wp:term":[{"taxonomy":"course_category","embeddable":true,"href":"https:\/\/esi.edu.sa\/en\/wp-json\/wp\/v2\/course_category?post=26020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}