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人工知能のためのアジャイルプロジェクトマネジメント

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Overview

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Learning outcomes

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Course content

1

Aiアジャイル基礎

2

反復的計画

3

スプリント実行

4

リスク適応管理

5

継続的改善

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 States
MC
Michael Carter
US · Course completed

The "人工知能のためのアジャイルプロジェクトマネジメント" course perfectly aligned with my goal of leading AI‑focused product teams. The modules on sprint planning for machine‑learning pipelines gave me a concrete framework that I immediately applied at my company, reducing our model‑deployment cycle from six weeks to three. The course materials—especially the downloadable JIRA templates and the case study on a real‑world AI chatbot—were up‑to‑date and directly relevant. I appreciated the clear, professional delivery and the instructor’s willingness to answer technical questions during live sessions. Overall, the experience exceeded my expectations and I feel fully equipped to drive agile practices in AI projects.

SL
Sophie Laurent
CA · Course completed

I signed up for this course because I wanted to get a handle on how agile works when you’re dealing with data scientists. The lessons were laid out in a very relaxed, easy‑going style, which made the heavy concepts feel manageable. I especially liked the hands‑on workshop where we built a sprint backlog for a predictive‑maintenance AI model—now I can actually talk the same language as my engineers. The videos and PDFs were clear, and the extra reading on ethical AI was a nice touch. It wasn’t perfect, but I left feeling confident that I can run agile sprints for AI projects at my startup.

FW
Felix Wagner
DE · Course completed

Wow, what a fantastic course! I was looking for a way to bridge my product‑management background with the fast‑moving world of artificial intelligence, and this program delivered exactly that. The instructor’s enthusiasm was contagious, and the practical exercises—like drafting user stories for an image‑recognition system and setting up a Kanban board for model validation—gave me skills I could use right away. The course materials were top‑notch, featuring up‑to‑date research articles and real‑world case studies from Japanese and US AI firms. I walked away with a clear roadmap for implementing agile ceremonies in AI development, and I’m already using the techniques in my current project. Highly recommended!

KT
Kenji Takahashi
JP · Course completed

このコースは、AIプロジェクトにアジャイル手法を適用する具体的な手順を細部まで解説してくれました。特に、スプリントレビューでのモデル精度評価指標の設定方法や、CI/CDパイプラインを組み込んだバックログ作成の実例は、私のチームが直面していた課題をすぐに解決する助けとなりました。教材は豊富なスライドと実践的なテンプレートが揃っており、学習後も参照しやすいです。講師の質問対応も丁寧で、全体的に充実した学習体験でした。今後はこの知識を活かして、社内のAI開発プロセスを改善していきたいと思います。





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Taught in English

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Recently updated!

May 2026