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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.

4.8
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 program in Artificial Intelligence and Knowledge‑Based Modeling exceeded my expectations. The curriculum was precisely aligned with my goal of mastering AI‑driven knowledge graphs, and the modules on ontological engineering gave me the confidence to design and implement a semantic data layer for my company's analytics platform. I particularly appreciated the hands‑on labs using Python and TensorFlow, which allowed me to prototype a recommendation engine that reduced processing time by 30 %. The lecture notes, case studies, and curated research papers were up‑to‑date and directly applicable to industry challenges. Overall, the learning experience was rigorous yet supportive, and I feel fully prepared for senior AI roles.

LO
Lucas Oliveira
BR · Course completed

Fazer esse curso foi uma ótima escolha! Eu queria entender melhor como usar IA para organizar informações complexas e o programa entregou exatamente isso. As aulas práticas de modelagem de conhecimento me ajudaram a criar um protótipo de chatbot para a minha startup, usando o framework de ontologias que aprendi nas aulas. Os materiais, como os vídeos curtos e os artigos de referência, eram bem claros e fáceis de seguir. No fim, consegui melhorar meu currículo e consegui uma entrevista para a vaga de Analista de IA que eu estava mirando. Recomendo muito, especialmente para quem quer aplicar IA no dia a dia.

FW
Felix Wagner
DE · Course completed

Wow, what an inspiring journey! This advanced master’s course gave me the tools to turn abstract AI concepts into concrete solutions. The module on probabilistic reasoning helped me build a risk‑assessment model for my fintech project, and the hands‑on sessions with PyTorch made the learning process exciting and tangible. The course materials were top‑notch – updated research papers, interactive notebooks, and real‑world case studies that felt directly relevant to my work. I left the program feeling empowered and ready to lead AI initiatives at my company. Absolutely thrilled with the experience!

HT
Haruki Tanaka
JP · Course completed

The curriculum of the Advanced Master's in AI and Knowledge‑Based Modeling was meticulously structured, allowing me to progress from foundational theories to sophisticated implementation techniques. My primary objective was to acquire practical expertise in constructing knowledge graphs for large‑scale data integration, and the course delivered this through a series of detailed workshops that covered RDF, SPARQL, and graph neural networks. For example, I applied the learned methods to integrate disparate medical datasets, achieving a 25 % improvement in data retrieval accuracy. The provided textbooks, scholarly articles, and code repositories were consistently current and aligned with industry standards, which greatly facilitated self‑study. The instructors offered prompt feedback and real‑world insights, making the overall learning environment both supportive and intellectually stimulating. I am highly satisfied with the outcomes and feel well‑equipped to contribute to AI‑driven projects in my field.


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Recently updated!

May 2026