العربية
Program Format
In-Person
Program Type
Instructor-paced
Program Start/End Date
25 May - 29 May 2025
Language
Arabic
Program Overview
Program Highlights
Application Process
Enrollment Status
Applications open
Applications open
24 Apr 2025
Applications close
08 May 2025
Program Format
In-Person
Program Type
Instructor-paced
Program Start/End Date
25 May - 29 May 2025
Language
Arabic
Program Details

This course equips you with modern AI techniques, teaching you how to apply machine learning and deep learning to solve problems and analyze data effectively. You will explore core AI concepts, the differences between supervised and unsupervised learning, and AI applications across industries. Additionally, you will engage in practical projects to reinforce your understanding of building and deploying AI models for real-world problem-solving.

Application Criteria
  • Be passionate about technology and innovation – Whether in AI, cybersecurity, UX, or game development, candidates should have a strong motivation to develop their skills in these fields.
  • Have basic knowledge or experience in related areas – Prior familiarity with programming (Python, JavaScript, or C#), data analysis, or design concepts is recommended but not required.
  • Demonstrate analytical and problem-solving skills – Candidates should have an ability to think critically, analyze data, and apply logical reasoning in practical scenarios.
  • Be committed to learning and collaboration – Participants should be ready to engage in live sessions, complete hands-on projects, and actively contribute to team-based activities.
Program Objectives
  • Grasp AI fundamentals and real-world applications.
  • Learn supervised and unsupervised learning techniques.
  • Build models using Scikit-Learn and TensorFlow.
  • Apply AI to NLP and computer vision.
  • Understand ethical and legal considerations of AI.

Program Highlights
In-person Sessions
Capstone Projects
Internship Opportunities for Top Performers
Skills You Will Gain
Data Analysis
Data visualization
Data modeling
Data science
Data management
Data Engineering
Application Process
  1. Sign Up
    Sign up to Misk Hub and create your profile
  2. Apply
    Click the Apply button and select the program you are interested in
  3. Evaluation
    We will review your application criteria and decide if the program selected is right for you
  4. Application Confirmation
    Successful applicants will receive an email confirming their program enrollment. We will also share more program-specific information and details about your participation
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