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人工知能ビジネス

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Overview

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Learning outcomes

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Course content

1

ビジネス基礎知識

2

人工知能の基礎

3

ビジネスモデル設計

4

マーケティング戦略

5

データ分析基礎

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

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 took the '人工知能ビジネス' course hoping to get a solid grounding in how AI can be used in everyday business decisions. The content hit the mark—especially the section on natural‑language processing for customer feedback analysis. I was able to set up a simple sentiment‑analysis dashboard for my startup, which helped us tweak our product messaging. The video tutorials were clear and the downloadable slide decks were a real help for quick reference. All in all, a very practical course that delivered exactly what I needed.

MC
Michael Carter
US · Course completed

The '人工知能ビジネス' course at Stanmore School of Business precisely matched my professional development plan. The modules on AI‑driven market segmentation gave me a clear framework to redesign my company's targeting strategy, and the hands‑on labs with Python and TensorFlow allowed me to build a predictive churn model within two weeks. The course materials were exceptionally well‑organized—each lecture was accompanied by real‑world case studies from Fortune 500 firms, which made the theory immediately applicable. Overall, the learning experience was rigorous yet supportive, and I feel confident applying AI solutions to drive revenue growth.

AP
Ananya Patel
IN · Course completed

Wow! This course blew me away! The '人工知能ビジネス' program gave me the confidence to launch an AI‑based recommendation engine for my e‑commerce site. The step‑by‑step walkthrough of collaborative filtering, combined with live coding sessions, made complex concepts feel super easy. I especially loved the real‑time project where we used Google Cloud AI tools—now my site’s conversion rate is up 12%! The course material is fresh, relevant, and packed with actionable insights. I’m thrilled with the results and can’t thank Stanmore enough.

ZD
Zanele Dlamini
ZA · Course completed

The '人工知能ビジネス' course offered a detailed exploration of AI strategies for emerging markets. I appreciated the thorough explanation of data preprocessing techniques, particularly the sections on handling missing values and outlier detection, which I directly applied to improve the accuracy of a credit‑risk model at my bank. The supplementary reading list, including recent whitepapers on AI ethics, added depth to the learning experience. While the pacing was intensive, the instructor's responsiveness to questions ensured I could keep up. Overall, a comprehensive and high‑quality program.





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Recently updated!

May 2026