Diplomas
Diploma Artificial intelligence
Diploma of artificial intelligence
The Diploma of artificial intelligence in the Department of computer and information technology is designed in accordance with the needs of the local labor market for specialization, and training in this specialty is carried out in five segmented semesters ,
* Scientific degree
The intermediate diploma is classified at the fifth level of the national framework of qualifications.
* Duration of training
Two and a half years
* Target group
Men and women
* Available branches
Dammam branches in the eastern region
* Mandatory requirements
3 and a half months cooperative training
This program aims to introduce the trainee to the basics and concepts of artificial intelligence and machine learning, train them and develop their abilities in creating advanced solutions using artificial intelligence tools to meet the needs of the labor market in this field to help organizations and society to understand the abundance of data collected and build independent solutions for a variety of applications, and Good for the challenges and opportunities in this rapidly developing field and obtains the fifth level of the national professional qualification system.
- * Master the specialized terminology related to the field of artificial intelligence .
* Writes basic code in Python language .
* Deals 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 an environment that deals with it .
* Uses intelligent algorithms to detect useful patterns in data sets.
* Selects the optimal algorithm capable of correlating data and information and extracting knowledge from them.
* Collects and processes data in the required format and visual representation.
* Data analysis is used in the construction of data products and companies and learning algorithms.
* Uses statistical steps to interpret the data set.
* Provides appropriate reports that allow stakeholders to understand the steps of the data analysis process .
* Applies machine learning and deep learning models in building innovative predictive and taxonomic models .
* Implements artificial intelligence applications (computer vision, object detection, face recognition, object tracking).
* Builds and trains bypass and repetitive neural networks .
* Selects the appropriate type of deep neural networks that solve the problem facing him.
* Creates a text classification model with multiple outputs
* Uses natural language processing to build and scale smart applications
* Uses Python and popencv to draw shapes on photos and videos
* Adheres to legal, ethical and societal considerations arising from the application of data science and artificial intelligence
* Familiar with the latest topics in the field of artificial intelligence.
* Proficient in conversational English at work.
| Training class | Course name | Training class | Course name |
|---|---|---|---|
| Chapter one First Level | Computer applications | Chapter Three: the first level | Introduction to data science Using Python |
| English language-1 | Data mining | ||
| Mathematics | English language-4 | ||
| Algorithms and logic | Chapter Three: the second level | Machine learning and pattern recognition | |
| Chapter I Level II | Discrete Mathematics | Chapter Three: the second level | Policies and ethics for working in the field of artificial intelligence |
| Introduction to statistics | Expert systems | ||
| English Language-2 | Chapter IV: the first level | Neural networks | |
| Programming basics | Getting to know the business world | ||
| Chapter Two: the first level | Principles of databases | Qualification for professional certificates | |
| Statistics and probability | |||
| Advanced programming -1 | Chapter IV: the second level | Computer vision and image processing | |
| Islamic studies | Project | ||
| Career behavior and communication skills | |||
| Chapter Two: the second level | English language-3 | Chapter V | Cooperative training 2,1 |
| Advanced programming -1 | |||
| Introduction to artificial intelligence |
* Assistant artificial intelligence engineer
* Assistant artificial intelligence specialist
* Data analyst
* Assistant machine learning specialist
* Assistant artificial intelligence trainer
* Business intelligence developer assistant
* Data collection and mining companies.
* Robotics and automated systems companies.
* Modern car development companies.
* Programming.
* Development of websites.
* Programming applications and smart programs.
* Computer companies and the development of systems related to it.
* The field of education and training.
