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London, United Kingdom · Study online with LSBA

人工知能プロジェクト計画

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Overview

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Learning outcomes

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Course content

1

要件定義

2

データ収集

3

モデル開発

4

評価検証

5

デプロイ運用

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
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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 laid‑back vibe of the "人工知能プロジェクト計画" class. It broke down the whole AI project lifecycle into bite‑size chunks, so I could actually follow along while juggling my day job. The practical exercises—like building a simple data‑pipeline in Python and drafting a stakeholder communication plan—were spot‑on. The reading pack was full of current examples from the industry, which made the theory feel relevant. After finishing, I felt confident enough to pitch an AI‑automation idea to my manager, and we’re now moving into the prototype stage. All in all, a solid, enjoyable course that got me where I wanted to be.

MC
Michael Carter
US · Course completed

The "人工知能プロジェクト計画" course at Stanmore School of Business was exactly what I needed to bridge theory and practice. The modules on AI project scoping helped me define clear learning objectives for my team, and the hands‑on workshop on risk‑assessment matrices gave me a concrete framework I now use in every proposal. The course materials—especially the downloadable project‑plan templates and the case‑study videos—were up‑to‑date and directly applicable to real‑world business scenarios. Thanks to this course I successfully led a pilot AI‑driven customer‑segmentation project at my company, delivering a 15% increase in conversion rates within two months. I highly recommend it to anyone looking for a professional, results‑oriented learning experience.

ST
Sakura Tanaka
JP · Course completed

この「人工知能プロジェクト計画」コースは、私の期待をはるかに超えました!講義はエネルギッシュで、AIプロジェクトの目標設定から成果測定まで、実践的なスキルを段階的に学べました。特に、プロジェクトのロードマップを作成するワークショップで、テンプレートを使って自社のチャットボット開発計画を具体化できたのが大きな収穫です。教材は最新の業界レポートや日本企業の成功事例が豊富で、学びがすぐに仕事に活かせました。修了後、上司にAI導入提案を行い、承認を得てプロジェクトがスタートしました。本当に感謝しています。

ZD
Zanele Dlamini
ZA · Course completed

The "人工知能プロジェクト計画" program offered a very thorough, detail‑oriented look at managing AI initiatives. Each week I was given a comprehensive reading packet, a set of Excel‑based budgeting tools, and a step‑by‑step guide to drafting ethical guidelines for AI use. The most valuable part for me was the capstone assignment, where I built a full project charter for an AI‑based predictive maintenance system for a mining operation. The instructor’s feedback was precise, and the peer‑review sessions helped me refine my risk‑mitigation strategies. Overall, the course equipped me with a robust toolkit that I am already applying in my consultancy work across Southern Africa.





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Recently updated!

May 2026