Diploma in Artificial Intelligence

About this program:

This program aims to introduce trainees to the fundamentals and concepts of artificial intelligence, machine learning and robotics; to train them and develop their ability to innovate advanced solutions using AI tools to meet the labor-market needs of this field; to help organizations and society make sense of the abundance of data being collected and build autonomous solutions for a variety of applications; and to prepare AI specialists with strong technical capabilities and a good understanding of the challenges and opportunities in this rapidly evolving field, earning Level 5 of the National Professional Qualifications system.

Admission requirements:

• High-school certificate or higher (foreign certificates must be attested by the Ministry of Foreign Affairs).
• Age 18 years or older.
• Valid residency permit (for non-Saudi applicants).

Program features:

• Expert trainers and certified practitioners.
• Flexible study schedules.
• A tablet or laptop provided to the student (depending on the specialization).
• Free access to the academy's facilities.
• A strong foundation toward advanced professional certifications.

Program outcomes:

• Masters the specialized terminology related to the field of artificial intelligence.
• Writes basic code in the Python and Prolog languages.
• Works with databases and queries.
• Converts problems into a search problem to find solutions using search algorithms.
• Builds a system to solve an existing problem in its operating environment.
• Uses intelligent algorithms to discover useful patterns in datasets.
• Selects the optimal algorithm capable of linking data and information and extracting knowledge from it.
• Collects and prepares data in the required format with visual representation.
• Uses data analysis to build data products, data companies and learning algorithms.
• Uses statistical steps to interpret the dataset.
• Presents appropriate reports that allow stakeholders to understand the steps of the data-analysis process.
• Applies machine-learning and deep-learning models to build innovative predictive and classification models.
• Implements AI applications (computer vision, object detection, face recognition, object tracking).
• Builds a rule-based expert system and solves a specific problem using the Prolog logic programming language.
• Builds and trains convolutional and recurrent neural networks.
• Selects the appropriate type of deep neural network that solves the problem at hand.
• Creates a multi-output text-classification model.
• Builds a reinforcement-learning system that knows how to make automated decisions.
• Uses natural language processing to build and scale smart applications.
• Uses Python and OpenCV to draw shapes on images and videos.
• Builds a robot using Raspberry Pi, Arduino and Python.
• Adheres to the legal, ethical and societal considerations arising from applying data science and artificial intelligence.
• Keeps abreast of the latest topics in the field of artificial intelligence.
• Masters English-language conversation in the field of work.

Career roles for graduates:

• Assistant Artificial Intelligence Engineer
• Assistant Artificial Intelligence Specialist
• Data Analyst
• Assistant Machine Learning Specialist
• Assistant Artificial Intelligence Trainer
• Assistant Supervisor of Robotics and Computer Operations
• Assistant Business Intelligence Developer