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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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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.

4.5
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 "人工知能プロジェクト計画" course exceeded my expectations. The curriculum was aligned perfectly with my goal of leading AI initiatives at my startup. I especially appreciated the module on risk assessment, where we practiced creating a Gantt chart for a real‑world computer‑vision project. The case studies from Japanese firms were up‑to‑date and the downloadable templates are still part of my daily workflow. Overall, the professional tone and clear structure made the learning experience both efficient and highly satisfying.

AS
Anna Schneider
DE · Course completed

Ich habe den Kurs mit einem lockeren, aber fokussierten Ansatz absolviert. Die praktischen Übungen, wie das Aufsetzen eines KI‑Projekt‑Backlogs in Azure DevOps, haben mir sofort geholfen, mein Team in Berlin besser zu organisieren. Die Kursmaterialien sind modern und enthalten viele Diagramme, die das Konzept der Modell‑Iterationen gut visualisieren. Durch das Gelernte konnte ich unser erstes Pilot‑Projekt zur automatischen Qualitätskontrolle erfolgreich planen und präsentieren.

HT
Haruka Tanaka
JP · Course completed

このコースは本当にワクワクしました!AIプロジェクトの全体像を掴むだけでなく、実際にPythonでプロトタイプを作るハンズオンが最高でした。特に、ステークホルダー分析のワークシートを使って社内の合意形成をスムーズに進められたことは大きな成果です。教材は最新の研究と実務例がバランス良く組み込まれており、学びやすさと実践性が抜群です。満足度はもちろん、次のプロジェクトでもすぐに活かせそうです。

ZD
Zanele Dlamini
ZA · Course completed

I approached this course with a detailed mindset, wanting to understand every step of AI project planning. The deep dive into data governance and ethical AI frameworks was particularly valuable for my role in a South African fintech firm. The supplied checklists helped me draft a comprehensive project charter for a fraud‑detection system, and the peer‑review sessions sharpened my risk‑mitigation strategies. The materials were thorough, well‑structured, and directly applicable to real‑world challenges, making the overall experience highly rewarding.





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Recently updated!

May 2026