Specifications

Qualification title: LEVEL 5 HIGHER INTERNATIONAL DIPLOMA IN ARTIFICIAL INTELLIGENCE
Qualification type: ARTIFICIAL INTELLIGENCE BASED ON CREDIT SYSTEM
Level: 4 & 5
Accreditation status: Accredited
Credit Equivalency: 240 Credits
Qualification number: 701/5001/7
TOTAL LEARNING HOURS: 2400 Hours
GUIDED LEARNING HOURS : 960 Hours
Availability: UK and international
Course Brochure: Download Brochure

Qualification Overview

This unit focuses on technical drawing's significance in engineering, covering projection angles, multi-view, sections, detailed drawings, and symbols. It introduces tools used in engineering workshops and offers skill-oriented learning in manufacturing processes and production technology. Safety procedures, information technology concepts, and their application in engineering practices are also covered. Additionally, it guides in simplifying complex data work using IT software tools for engineering requirements.


Units

S.No. Subject Code Unit Unit Specification Credit
1 I/750/2021 Foundations of Computational Agents Essential unit 20
2 I/750/2022 Machine Learning Fundamentals Essential unit 20
3 I/750/2023 Programming for AI with Python Essential unit 20
4 I/750/2024 Artificial Intelligence for Healthcare Essential unit 20
5 I/750/2025 Natural Language Processing Essential unit 20
6 I/750/2026 Ethics in AI Essential unit 20
7 I/750/2027 Neural Networks and Deep Learning Essential unit 20
8 I/750/2028 Computer Vision Essential unit 20
9 I/750/2029 Artificial Intelligence for Business Essential unit 20
10 I/750/2030 Artificial Intelligence in Education Essential unit 20
11 I/750/2031 Responsible AI Essential unit 20
12 I/750/2032 AI in Entertainment and Gaming Essential unit 20

Learning Outcomes

  • I. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • II. Problem analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • III. Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
  • IV. Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions Manage Construction Projects for Planning, Analyzing, Costing, Scheduling, Predicting and complete within the stipulated period and fund.
  • V. Modern tool usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
  • VI. Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • VII. Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development, Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • VIII. Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • IX. Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  • X. Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Entry Requirements

  • Learners who possess Qualifications at Level 2 and/or;
  • Learners who have work experience in a business environment and demonstrate ambition with clear career goals;
  • Learners who possess a level 3 qualification in another discipline and want to develop their careers in business management.