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Home / Courses / شَهادةُ الماجِستير في الذكاء الاصطناعي ونمذجة المعلومات المبنية (Advanced)
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شَهادةُ الماجِستير في الذكاء الاصطناعي ونمذجة المعلومات المبنية (Advanced)

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Overview

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Learning outcomes

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Course content

1

Artificial Intelligence Fundamentals

2

Machine Learning Algorithms

3

Information Modeling Techniques

4

Advanced Data Mining

5

Intelligent Systems Design

6

Neural Network Architecture

7

Natural Language Processing

8

Computer Vision Systems

9

Human Computer Interaction

10

Information Retrieval Systems

11

Expert Systems Development

12

Advanced Database Systems

13

Knowledge Representation Models

14

Semantic Web Technologies

15

Cognitive Computing

16

Robotics And Automation

17

Advanced Data Analytics

18

Information Security Management

19

Artificial Intelligence Applications

20

Intelligent Information Systems

Career Path

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Key facts

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Why this course

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People also ask

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Advanced Master's in Artificial Intelligence and Knowledge‑Based Modeling exceeded my expectations. The curriculum aligned perfectly with my goal of mastering deep‑learning pipelines for enterprise data. I especially appreciated the module on probabilistic graphical models, which gave me the confidence to design a Bayesian network for a supply‑chain optimization project at my company. The course materials—well‑structured lecture videos, up‑to‑date research papers, and a comprehensive Python notebook repository—were of professional quality and directly applicable to real‑world problems. Completing the capstone, I deployed a TensorFlow model that reduced forecasting error by 12%, a tangible outcome that impressed my manager. Overall, the learning experience was rigorous yet supportive, and I would highly recommend this program to any serious AI practitioner.

AS
Ana Silva
BR · Course completed

Adorei o curso! Eu queria entender como usar IA pra modelar informações complexas e consegui exatamente isso. As aulas práticas, como o workshop de construção de ontologias com Protégé, me ajudaram a criar um modelo de conhecimento para o meu projeto de saúde digital. Os materiais são bem organizados, com vídeos curtos e exercícios que dão para fazer no fim de semana. O professor sempre estava disponível no fórum, o que fez a experiência ainda mais leve. Saí do curso com habilidades reais em Python, PyTorch e técnicas de inferência que já estou aplicando no meu trabalho. Recomendo para quem quer aprender de forma prática e descontraída.

FW
Felix Wagner
DE · Course completed

Ich bin begeistert von diesem Master‑Kurs! Mein Ziel war es, tiefgreifendes Wissen in KI‑Strategien und Informationsmodellierung zu erlangen, und das Programm hat mich nicht enttäuscht. Besonders das Labor zu Reinforcement Learning hat mir gezeigt, wie man intelligente Agenten für simulierte Produktionslinien entwickelt – ich habe ein Agent‑System gebaut, das die Produktionsausbeute um 15 % steigerte. Die Kursunterlagen sind top‑aktuell, mit vielen Code‑Beispielen in Jupyter‑Notebooks und klaren Erklärungen zu den neuesten Forschungsergebnissen. Der Austausch mit internationalen Kommilitonen im virtuellen Klassenzimmer war inspirierend und hat das Lernen noch wertvoller gemacht. Ich fühle mich bestens gerüstet für meine neue Rolle als KI‑Architekt.

ST
Sakura Tanaka
JP · Course completed

このコースは、私の学習目標である高度なAIアルゴリズムと情報モデルの実装スキルを具体的に達成させてくれました。特に、自然言語処理と知識グラフの統合に関するセクションでは、BERTとRDFを組み合わせた実験を行い、社内のFAQシステムの精度を30%向上させました。教材は豊富なサンプルコードと最新の研究論文が添付されており、理論と実装のギャップを埋めるのに非常に役立ちました。最終プロジェクトでは、マルチエージェントシミュレーションを構築し、学んだ手法を実践的に応用できたことが大きな成果です。全体として、学習体験は充実しており、今後のキャリアに直結する知識を得られたと感じています。


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Recently updated!

May 2026