About This Course
This Ph.D. program in Artificial Intelligence (AI) offers a comprehensive exploration of the field, from its historical roots to cutting-edge applications. Designed for those passionate about pushing the boundaries of AI, this immersive journey delves into foundational concepts, advanced topics, and specialized applications, guided by leading experts in the field.
Learning Objectives
Throughout the program, students will:
Understand the historical evolution and interdisciplinary nature of AI.
Master fundamental and advanced AI concepts, methodologies, and algorithms.
Analyze ethical implications and societal impacts of AI applications.
Engage in original research projects and contribute to the ongoing narrative of AI evolution.
Material Includes
- Recommended textbooks covering foundational and specialized topics in AI, authored by renowned experts in the field.
- Access to research papers, case studies, and supplementary materials curated by faculty members to enrich learning experiences.
Requirements
- Prospective students should possess a strong background in computer science, mathematics, engineering, or cognitive science.
- Official transcripts demonstrating academic proficiency are required for admission.
- Prior knowledge in AI may exempt students from certain foundational courses.
Target Audience
- Are you passionate about pushing the boundaries of artificial intelligence and becoming a thought leader in the field? Our Ph.D. Program in Artificial Intelligence at Michael University is designed for individuals with a strong background in computer science, mathematics, engineering, or cognitive science who aspire to delve deep into groundbreaking research projects and shape the future of human-machine collaboration.
Curriculum
1 Lesson45h
Attachment
Course Syllabi
$59,000.00
Material Includes
- Recommended textbooks covering foundational and specialized topics in AI, authored by renowned experts in the field.
- Access to research papers, case studies, and supplementary materials curated by faculty members to enrich learning experiences.
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