Associate Diploma in Artificial Intelligence

Program Overview

The Associate Diploma in Artificial Intelligence, offered by Effat University's Department of Computer Science, is a cutting-edge program designed to equip students with foundational and advanced skills in the rapidly evolving field of Artificial Intelligence (AI). This program explores the theoretical foundations, design, and application of AI systems, preparing students to become key players in the technological revolution. With a comprehensive curriculum that encompasses data science, machine learning, and ethical AI technologies, this program offers a unique blend of knowledge and practical experience, making graduates well-equipped to address modern challenges using AI solutions.

Associate Diploma in Artificial Intelligence Degree

The Department of Computer Science grants students the degree of Associate Diploma in Artificial Intelligence (AID).​

Education​al Objectives

Graduates from the Associate Diploma in Artificial Intelligence (AID) are expected to attain the following Program Educational Objectives within a few years of graduation:

1. Demonstrate a solid understanding of a variety of Artificial Intelligence approaches;
2. Formalize real-world problems and select the most appropriate AI method to solve problems;
3. Utilize machine-learning techniques to improve the performance of computer-based systems;
4. Demonstrate high ethical and responsibility values; and
5. Use their communication skills to work effectively in teams.​
   

Target Audience

Students/Professionals seeking career-oriented requiring Artificial Intelligence and programming skills.

Admission Requirements:​

• High School Degree or Equivalent​​
  

Program Learning Outcomes

By completing the Associate Diploma in Artificial Intelligence program, students will be able to:

Knowledge and Understanding

• AI-K1    Demonstrate a comprehensive understanding and critical perspective of the principal theories, concepts, and terminology of related Artificial Intelligence fields.

• AI-K2    ​Integrate knowledge from different Artificial Intelligence fields to develop practical solutions that effectively operate in real-world organizations.
  

Skills

• AI-S1    Apply artificial intelligence theory and software development fundamentals to create AI-based solutions utilizing relevant skills and techniques.
• AI-S2    Analyze complex computing problems and apply principles of Artificial Intelligence, along with other relevant disciplines, to identify innovative solutions.
• AI-S3    Design, implement, and evaluate a computing-based solution that meets specified computing requirements within the context of Artificial Intelligence.
• AI-S4    Communicate effectively in a variety of professional contexts, demonstrating proficiency in articulating AI concepts and solutions.

Values, Autonomy, and Responsibility

• AI-V1    Recognize and uphold professional responsibilities, making informed judgments in computing practice based on legal and ethical principles specific to the field of Artificial Intelligence.

• AI-V2    Function effectively as a valuable member or leader within a team engaged in activities relevant to the Computer Science and Artificial Intelligence domains.​
  

Career Opportunities

• Artificial Intelligence Analyst
• Business Intelligence Developer​
• Artificial Intelligence Developer
• Data Mining Analyst
• Machine Learning Developer
• Further their studies in Artificial Intelligence related fields

• Prepare for various professional international AI certifications​​​
  

Study Plan​

Please check the study plan of Associate Diploma in Artificial Intelligence​​ as PDF​. ​

• Level 1 (8 weeks)
• Course Code
  Course Name
  Pre-requisites
  Credit Hours
  Contact Hours
• AID 101
  Artificial Intelligence: Principles and Techniques
  None
  2-1-3
  48
• AID 121
  Programming Essentials in Python
  None
  2-2-3
  64
• Total:
   
   
   
  112
• Level 2 (8 weeks)
• Course Code
  Course Name
  Pre-requisites
  Credit Hours
  Contact Hours
• AID 111
  Mathematics for Artificial Intelligence
  None
  3-0-3
  48
• AID 122
  Fundamentals of Data Science
  None
  2-1-3
  48
• AID 391
  Internship I
  None
  0-0-3
   
• Total:
   
   
   
  96 + 128 (internship)
• Level 3 (8 weeks)
• Course Code
  Course Name
  Pre-requisites
  Credit Hours
  Contact Hours
• AID 202
  Machine Learning Basics
  AID 101
  2-1-3
  48
• AID 203
  Natural Language Processing Essentials
  AID 101
  2-1-3
  48
• Total:
   
   
   
  96
• Level 4 (8 weeks)
• Course Code
  Course Name
  Pre-requisites
  Credit Hours
  Contact Hours
• AID 341
  IoT Principles
  AID 101
  2-1-3
  48
• AID 312
  Final Project
  AID 122
  2-1-3
  48
• AID 392
  Internship II
  None
  0-0-3
  96
  
• Total:
   
   
   
  96 + 128 (internship)
• Total Credit Hours:
   
   
   
  30
• Total Contact Hours:
   
   
   
  400