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高度ビジネス人工知能修士証書 (Advanced)

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Overview

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Learning outcomes

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Course content

1

ビジネスアナリティクス

2

マーケティング分析

3

データサイエンス

4

人工知能基礎

5

データベース管理

6

ビジネスインテリジェンス

7

予測分析

8

クラウドコンピューティング

9

ビジネスプロセス最適化

10

デジタル経営戦略

11

ビジネス分析ツール

12

データサイエンスツール

13

Aiエチケット

14

ビジネス経営学

15

データマイニング

16

ビジネス情報システム

17

ビジネス経済学

18

マネジメントサイエンス

19

ビジネス分析手法

20

データ分析手法

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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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
Ready when you are
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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
Open enrolment · Start today

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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I loved the practical vibe of the 高度ビジネス人工知能修士証書 course. It helped me hit my learning goal of understanding how AI can boost marketing ROI. The hands‑on labs where we used Azure Machine Learning to segment customers were a real highlight – I actually rolled out a pilot campaign at work that lifted conversion rates by 12%. The course materials were clear, with plenty of real‑world examples, and the community forums made it feel like a collaborative workshop. All in all, a solid, useful program.

MC
Michael Carter
US · Course completed

The 高度ビジネス人工知能修士証書 program exceeded my expectations. The curriculum was perfectly aligned with my goal of integrating AI into strategic decision‑making. I especially appreciated the module on predictive analytics, where I built a sales forecasting model using Python and TensorFlow that we now deploy in our quarterly planning. The case studies from Fortune‑500 companies were current and directly applicable, and the reading materials were both rigorous and accessible. Overall, the course delivery was professional and the support from instructors was outstanding, making my learning experience both effective and enjoyable.

ST
Sakura Tanaka
JP · Course completed

このコースは本当に刺激的でした!高度ビジネス人工知能修士証書を通じて、AIをビジネス戦略に組み込む方法を徹底的に学びました。特に、倫理的AIフレームワークを実務に適用したプロジェクトでは、社内の意思決定プロセスを透明化し、上層部から高い評価を受けました。教材は最新の研究と実例がバランスよく配置されており、毎回のライブセッションで講師が具体的なコード例を示してくれたので、即座に自分のプロジェクトに活かせました。とても満足しています!

ZD
Zanele Dlamini
ZA · Course completed

The 高度ビジネス人工知能修士証書 offered a detailed and thorough exploration of AI applications in business contexts. My primary aim was to acquire the ability to design data‑driven strategies for my consulting firm, and the course delivered exactly that. The module on natural language processing enabled me to develop a chatbot prototype that now handles routine client inquiries, reducing response time by 30%. The reading list, which included both academic papers and industry whitepapers, provided a solid theoretical foundation, while the weekly assignments reinforced practical skill‑building. The structured approach and clear feedback made the learning journey both rigorous and rewarding.





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Recently updated!

May 2026