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شهادة في تحليل بيانات مشروع الذكاء الاصطناعي (Advanced)

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Overview

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Learning outcomes

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Course content

1

مقدمة في تحليل البيانات

2

تقنيات استخراج البيانات المتقدمة

3

نماذج التعلم العميق للبيانات

4

معالجة اللغة الطبيعية

5

تحليل السلاسل الزمنية

6

تصور البيانات المتقدم

7

إدارة البيانات الضخمة

8

خوارزميات التعلم الآلي

9

تقييم نماذج الذكاء الاصطناعي

10

تحسين الأداء والموثوقية

11

الأخلاقيات والحوكمة في الذكاء الاصطناعي

12

أمان البيانات والخصوصية

13

تكامل البيانات المتعدد المصادر

14

أدوات البرمجة المتقدمة للبيانات

15

استراتيجيات الاختبار والتحقق

16

تحليل المشاعر والرأي العام

17

نمذجة التنبؤ والتحليل الوقائي

18

تحسين خوارزميات التصنيف

19

تطبيقات الذكاء الاصطناعي في الصناعة

20

مشروع نهائي وتقييم

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

  • The course starts as soon as you pay the 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.

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.

4.8
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 AI Project Data Analysis certification exceeded my expectations. The curriculum was precisely aligned with my goal of mastering end‑to‑end AI pipelines. I especially appreciated the module on data preprocessing with Pandas, which enabled me to clean a noisy sensor dataset in under an hour—a task that previously took me days. The hands‑on labs on TensorFlow model evaluation gave me the confidence to fine‑tune a convolutional network for image classification, and the final capstone project helped me secure a promotion to Lead Data Scientist. Course materials were up‑to‑date, well‑structured, and included real‑world case studies that were directly applicable to my work at a fintech startup. Overall, the learning experience was seamless and highly professional.

RO
Rafael Oliveira
BR · Course completed

Gente, esse curso foi top! Eu queria aprender como transformar dados de projetos de IA em insights práticos e a gente conseguiu. A parte de visualização com Power BI foi muito útil – fiz um dashboard que mostrei pro meu time e já está ajudando a decidir quais modelos vão pra produção. Também curti muito o tutorial de deploy usando Docker; consegui colocar meu modelo de recomendação de produtos em produção em menos de 24h. O material de leitura era bem claro e os exemplos eram do Brasil, o que fez tudo ficar mais próximo da realidade. Saí do curso super satisfeito e já recomendei pra vários colegas.

FW
Felix Wagner
DE · Course completed

Ich bin begeistert von diesem Kurs! Er hat mir nicht nur das theoretische Fundament für die Analyse von KI‑Projektdaten geliefert, sondern mir auch praxisnahe Skills vermittelt. Besonders das Kapitel über Feature‑Engineering mit Scikit‑Learn hat mir geholfen, die Genauigkeit meines Vorhersagemodells von 78 % auf 86 % zu steigern. Die Lernvideos waren klar und die Begleitunterlagen super aktuell. Ein kleiner Wermutstropfen war die etwas knappe Zeit für das Abschlussprojekt, aber insgesamt war die Erfahrung sehr befriedigend und ich fühle mich gut vorbereitet für komplexe AI‑Projekte.

ST
Sakura Tanaka
JP · Course completed

この上級AIプロジェクトデータ分析コースは、私の学習目標を完全に満たしてくれました。特に、SQLで大規模データセットを抽出し、PythonのPandasで前処理を行う実習は、実務で即活用できるスキルでした。最終課題では、時系列予測モデルを構築し、実際に売上データを予測して社内プレゼンテーションで使用したことが評価に繋がりました。教材は最新の研究論文と業界事例を組み合わせており、内容の質と関連性が高いです。学習プラットフォームのインターフェースも直感的で、サポートチームの迅速な対応もあり、全体的に非常に満足しています。





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Recently updated!

May 2026