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الشهادة العالمية في هندسة الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

الوحدة الأولى

2

الوحدة الثانية

3

الوحدة الثالثة

4

الوحدة الرابعة

5

الوحدة الخامسة

6

الوحدة السادسة

7

الوحدة السابعة

8

الوحدة الثامنة

9

الوحدة التاسعة

10

الوحدة العاشرة

11

الوحدة الحادية عشر

12

الوحدة الثانية عشر

13

الوحدة الثالثة عشر

14

الوحدة الرابعة عشر

15

الوحدة الخامسة عشر

16

الوحدة السادسة عشر

17

الوحدة السابعة عشر

18

الوحدة الثامنة عشر

19

الوحدة التاسعة عشر

20

الوحدة العشرين

Career Path

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Why this course

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  • Instant access to all course materials upon payment
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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

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.

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
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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 London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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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 Global Certificate in Advanced AI Engineering exceeded my expectations. The curriculum was meticulously structured, covering reinforcement learning, model compression, and ethical AI frameworks. I was able to apply the concepts directly to a predictive‑maintenance project at my company, reducing equipment downtime by 12%. The course materials—high‑definition video lectures, annotated Jupyter notebooks, and real‑world case studies—were top‑notch and always up‑to‑date. Overall, the learning experience was professional and highly relevant to my career goals, and I feel fully equipped to lead AI initiatives.

RS
Rafael Souza
BR · Course completed

Adorei o curso! O conteúdo avançado de IA foi explicado de forma bem descontraída, o que facilitou muito meu aprendizado. Consegui montar um chatbot usando a API do GPT‑4 e integrar com o WhatsApp da minha startup, o que aumentou o engajamento dos clientes em 30%. Os materiais são bem organizados, com vídeos curtos e exercícios práticos que eu podia fazer no meu tempo livre. Saí do curso com confiança para criar pipelines de dados e treinar modelos de visão computacional. Recomendo para quem quer colocar a mão na massa.

FW
Felix Wagner
DE · Course completed

Wow, what an exhilarating journey! This advanced AI engineering program gave me the tools to build an autonomous drone that can navigate complex indoor environments—something I only dreamed of before. The hands‑on labs using TensorFlow and PyTorch were thrilling, and the instructor’s feedback was lightning‑fast. The course pack included cutting‑edge research papers and industry‑grade datasets, which made the material feel fresh and directly applicable. I even won my company’s internal hackathon thanks to the skills I gained. Absolutely thrilled with the experience!

RK
Rahul Kapoor
IN · Course completed

The program offered a very detailed exploration of deep learning architectures, from convolutional networks to transformer models. Each module included rigorous mathematical derivations followed by practical lab sessions on Azure ML, which helped me bridge theory and implementation. I applied the sequence‑to‑sequence techniques learned to develop a translation model for regional languages, achieving a BLEU score of 27.5. The course resources—comprehensive slide decks, code repositories, and weekly live Q&A—were meticulously curated. This thorough approach has significantly deepened my expertise and prepared me for a research‑oriented role.





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Recently updated!

May 2026