Associate of Artificial Intelligence

Degree Level
Duration
2 years
Semester Fee
Rs. 200,000
Registration Fee
Rs. 25,000
Application Fee
Rs. 5,000

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Program Overview

Artificial Intelligence is reshaping every industry — and this program puts you in the driver’s seat. You’ll go beyond theory to build and train intelligent systems that see, speak, and make decisions. Whether it’s chatbots, image recognition, recommendation systems, or autonomous agents, you’ll be building AI that works in the real world. Learn from active researchers and AI developers who are advancing Pakistan’s tech capabilities. From your first semester, you’ll work on real-world projects and leave with a portfolio that proves your ability to turn algorithms into action.

      Key Features

      • Foundational Training in AI and Robotics
        Covers core concepts in machine learning, neural networks, data science, and robotics, preparing students for a tech-driven future.
      • Hands-On Learning with Industry Tools
        Provides practical experience using Python, TensorFlow, NLP frameworks, and real-world AI model development.
      • AI-Driven Learning Approach
        Uses AI as a learning tool to debug code, analyze data, and simulate intelligent agents—enhancing both skill and understanding.
      • High-Demand Career Pathways
        Opens doors to roles in healthcare, fintech, logistics, and manufacturing as junior AI developers, data technicians, and more.

          Admission Process

          1. 1. Fill out the admission form.
          2. 2. Pay the application fee of Rs. 5,000.
          3. 3. Appear for the admission test.
          4. 4. Pass the test with a minimum of 60% marks.
          5. 5.Students who pass the test can enroll in the premium educational program.
          6. 6. An acceptance or rejection letter will be issued.
          7. 7. The last date for fee deposit will be clearly indicated on the fee voucher.
          8. 8. Admission will be canceled for students who do not pay the required dues by the deadline.
          9. 9. Admission tests are conducted every Saturday and Wednesday.
          10. 10.Tests will be conducted on computers.
          11. 11. Test results will be announced the next day and communicated to students via WhatsApp and email.
          Semester No 1
          Credit Hours
          NSC1001 - Applied Physics
          3 (2-3)
          ICT1001 - Applications of ICT for Smart Learning
          3 (2-3)
          ANH1001 - Creative Design and Digital Innovation
          2 (2-0)
          ENG1001 - Effective Communication in Digital World
          3 (3-0)
          PAK1001 - Pakistan: Ideology & Constitution
          2 (2-0)
          SSE1001 - Psychology and Human Behaviour in the Digital Age
          2 (2-0)
          Fundamental Mathematics (deficiency course)
          0
          Semester No 2
          Credit Hours
          CSC1301 - Probability & Statistics
          3 (3-0)
          ETR1001 - Entrepreneurship and Financial Literacy
          2 (2-0)
          CSC1101 - Programming Fundamentals
          4 (3-3)
          CSC1102 - Digital Logic Design
          3 (2-3)
          RNE1001 - Islamic Studies / Ethics and AI Morality
          2 (2-0)
          CIV1001 - Civic and Community Engagement
          2 (2-0)
          Pre-Calculus II (deficiency course)
          0
          Semester No 3
          Credit Hours
          QRE1001 - Discrete Structure
          3 (3-0)
          QRE1002 - Calculus & Analytical Geometry
          3 (3-0)
          ENG1002 - Writing & Reading for Impact
          3 (3-0)
          CSC2101 - Object Oriented Programming
          4 (3-3)
          CSC2102 - Database Systems
          4 (3-3)
          Semester No 4
          Credit Hours
          CSC1301 - Linear Algebra
          3 (3-0)
          CSC2103 - Data Structures
          4 (3-3)
          CSC2106 - Advanced Database Management Systems
          3 (2-3)
          CSC2104 - Software Engineering
          3 (3-0)
          CSC2105 - Operating Systems
          3 (2-3)

          Student Success Stories

          FAQs

          The program covers machine learning, neural networks, data science, robotics, natural language processing, and hands-on coding using Python and TensorFlow.

          No prior experience is needed. The program starts with the basics and builds up to advanced concepts using step-by-step learning.

          Graduates can work as junior AI developers, machine learning assistants, data technicians, AI product testers, or robotics support staff across various industries.

          AI is used within the course for debugging code, analyzing datasets, and simulating intelligent systems—helping students learn faster and more effectively.

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