CSCAS | Generative Artificial Intelligence

Course / Course Details

Generative Artificial Intelligence

Data Science and Analytics

By - Dr. Ali Haider Khan
1 students
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Course Requirements

Basic understanding of AI and machine learning concepts.
Participation in lectures, workshops, and hands-on activities.
Completion of assignments, case studies, and practical projects.
Engagement with generative AI platforms and development tools.
Successful completion of a project demonstrating a generative AI application.

Course Description

This course explores the principles, techniques, and applications of Generative Artificial Intelligence. Students will examine large language models, generative models, prompt engineering, multimodal AI systems, and emerging applications across industries. The course emphasizes practical implementation, innovation, and responsible AI practices.

Course Outcomes

Upon successful completion of this course, students will be able to:

Explain the foundations, architectures, and capabilities of generative AI systems.
Apply generative AI tools and techniques to create text, images, code, and other digital content.
Assess the impact of generative AI on business transformation, innovation, and decision-making processes.
Design ethical and effective generative AI solutions for organizational and societal challenges.

Course Curriculum

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Instructor

Dr. Ali Haider Khan

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Category: Data Science and Analytics
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Language: English
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