Diploma in Artificial Intelligence Engineering and Smart Systems
Department of Computer Engineering and Artificial Intelligence — Artificial Intelligence Systems Engineering and Smart Systems
1. Program Overview:
This advanced and comprehensive specialist program extends over 12 months and carries a total study load of 290 hours. It is designed to prepare and qualify artificial intelligence engineers and applied researchers to a high professional standard. The program combines rigorous mathematical foundations and advanced programming with machine learning and deep learning models, natural language processing, computer vision, generative artificial intelligence, and Large Language Models (LLMs). It places particular emphasis on Machine Learning Operations (MLOps), Edge AI, the Internet of Things (IoT), and the design of integrated smart-system architectures.
2. Key Objectives:
- Advanced mathematical and programming foundations: develop strong competence in mathematics and probability for AI, together with advanced programming skills for building and customizing algorithms.
- Mastery of neural models, vision, and language: build and train advanced deep-learning networks and develop applications in computer vision and Natural Language Processing (NLP).
- Professional competence in generative AI and LLMs: engineer and customize generative AI models and develop solutions based on Large Language Models.
- Engineering and deployment of AI models and smart systems: apply data engineering for AI, automate the model lifecycle and deployment through MLOps, and build Edge AI systems integrated with IoT while addressing AI security and ethical considerations.
3. Target Audience:
- Software engineers and data science professionals seeking to transition into, or achieve advanced professional competence in, artificial intelligence engineering and smart systems.
- Students and graduates of Computer Engineering, Artificial Intelligence, Mathematics, and Information Systems programs.
- Researchers and technology innovators interested in developing intelligent solutions and advanced generative models.
- Technical team leaders and system architects interested in integrating AI technologies into enterprise and industrial infrastructures.
4. :Study Plan Modules (17 Specialized and Applied Modules)
1. Foundations of Advanced Artificial Intelligence
2. Mathematics and Probability for Artificial Intelligence
3. Advanced Programming for Artificial Intelligence
4. Advanced Machine Learning
5. Deep Learning and Neural Networks
6. Advanced Neural Network Architectures
7. Natural Language Processing (NLP)
8. Computer Vision
9. Generative Artificial Intelligence and Large Language Models (LLMs)
10. Data Engineering for Artificial Intelligence Systems
11. Machine Learning Model Engineering
12. Deployment of Artificial Intelligence Models and MLOps
13. Edge AI and Smart Systems
14. Internet of Things (IoT) and Smart Systems
15. Ethics and Security of Artificial Intelligence Systems
16. Artificial Intelligence Systems Architecture Design
17. Final Artificial Intelligence Project
5. :Program Data and Assessment Framework
- Field and subfield: Computer Engineering and Artificial Intelligence / Artificial Intelligence Systems Engineering and Smart Systems.
- Duration and sessions: 12 months, evening schedule, 90 lectures delivered at a rate of two lectures per week, with two hours per lecture, totaling 180 hours of direct training.
- Total study load: 290 hours, distributed as follows:
180 hours: interactive live online lectures.
70 hours: required readings and supplementary resources.
30 hours: chapter questions and self-assessment activities.
10 hours: final review and completion examination.
- Attendance and assessment requirements: a minimum attendance rate of 75% of live lectures, in addition to periodic assignments and projects.
- Final project and assessment: an online assessment consisting of 25 multiple-choice questions and 5 practical case-based questions, in addition to the design, development, training, and deployment of an integrated artificial intelligence system as the graduation project.
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