Course / Course Details

Artificial Intelligence (AI)

  • Dr. Ali Haider Khan image

    By - Dr. Ali Haider Khan

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Course Requirements

Students are expected to:

  • Possess basic computer literacy and familiarity with common digital tools.
  • Participate actively in lectures, discussions, laboratory activities, and workshops.
  • Complete assignments, quizzes, and project-based tasks on time.
  • Engage with AI tools and platforms for practical learning and experimentation.
  • Adhere to academic integrity and responsible use of AI technologies.
  • Successfully complete a final project demonstrating the application of AI concepts to a real-world problem.

Course Description

This course provides a comprehensive introduction to Artificial Intelligence (AI) and its transformative role in modern society and business. Students will explore fundamental AI concepts, machine learning, deep learning, neural networks, and generative AI technologies. The course emphasizes practical applications of AI across various domains, including business, healthcare, education, and industry. Through case studies, hands-on activities, and project-based learning, students will gain the skills required to evaluate, design, and implement AI-driven solutions while considering ethical, legal, and societal implications.

Course Outcomes

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

    1. Explain the fundamental concepts, techniques, and applications of Artificial Intelligence across various domains.
    2. Apply the principles of Machine Learning, Deep Learning, and Neural Networks to analyze and solve real-world problems.
    3. Evaluate the role of Generative AI in enhancing business operations, innovation, decision-making, and process efficiency.
    4. Design AI-driven solutions for organizational challenges while incorporating ethical, legal, and responsible AI practices.
  • Course Curriculum

    • 3 chapters
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