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--- products:ict:ai:ai_course_1 [2023/07/26 18:57] – wikiadmin
+++ products:ict:ai:ai_course_1 [2023/07/26 18:59] (current) – wikiadmin
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+====== AI Course 1 ======
 Topics for the three roles in AI.
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 . AI Expert:
-The AI Expert course focuses on providing a comprehensive understanding of artificial intelligence, including theoretical concepts, algorithms, and practical applications. It is designed for individuals interested in developing AI systems and solutions for real-world problems. The course may include the following topics:
+The AI Expert role focuses on providing a comprehensive understanding of artificial intelligence, including theoretical concepts, algorithms, and practical applications. It is for individuals interested in developing AI systems and solutions for real-world problems. The role includes the following topics:
 - [[products:ict:ai:introduction_to_artificial_intelligence|Introduction to Artificial Intelligence: History, goals, and key concepts.]]
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 . AI Data Analyst:
-The AI Data Analyst course is tailored for individuals interested in working with data and using AI techniques to extract insights and make data-driven decisions. The curriculum may include the following topics:
+The AI Data Analyst part is tailored for individuals interested in working with data and using AI techniques to extract insights and make data-driven decisions. This part includes the following topics:
 - [[products:ict:ai:data_analysis_fundamentals|Data Analysis Fundamentals]]: Data cleaning, exploration, and visualization.
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 . AI Research Scientist:
-The AI Research Scientist course is designed for individuals who want to pursue cutting-edge research in artificial intelligence and contribute to advancing the field. It typically covers the following topics:
+The AI Research Scientist part is designed for individuals who want to pursue cutting-edge research in artificial intelligence and contribute to advancing the field. It covers the following topics:
 - [[products:ict:ai:advanced_machine_learning|Advanced Machine Learning]]: Deep dive into advanced ML algorithms, optimization techniques, and model evaluation.