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London, United Kingdom · Study online with LSBA

人工知能プロジェクト計画上級認定 (Advanced)

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Overview

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Learning outcomes

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Course content

1

Ai戦略立案

2

プロジェクトガバナンス

3

リスクマネジメント

4

データエンジニアリング

5

機械学習モデリング

6

深層学習アーキテクチャ

7

Ai倫理とコンプライアンス

8

パフォーマンス評価指標

9

スケーラビリティ設計

10

クラウドインフラ最適化

11

継続的インテグレーション

12

モデルデプロイメント

13

ユーザー受容性分析

14

ステークホルダーコミュニケーション

15

予算管理とコスト最適化

16

品質保証とテスト

17

Aiプロダクトロードマップ

18

イノベーションマネジメント

19

組織変革とスキル育成

20

プロジェクト完了と評価

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
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 this course because I wanted to move from a data‑analyst role into AI project management. The content was spot on – the lessons on agile sprint planning for AI models helped me set realistic delivery timelines. I even used the provided JIRA templates to organise my own proof‑of‑concept at work, which impressed my manager. The reading material was clear and the video lectures were engaging. It was a relaxed yet informative vibe, and I left feeling ready to lead my next AI project.

MC
Michael Carter
US · Course completed

The Advanced AI Project Planning course exceeded my expectations. The curriculum was perfectly aligned with my goal of leading AI initiatives at my tech firm. I especially appreciated the module on risk‑based scheduling, which gave me a concrete framework to map out milestones using MS Project. By the end of the program I could draft a full project charter for a machine‑learning deployment, complete with stakeholder analysis and budget forecasts. The case studies were up‑to‑date and directly applicable, and the instructor’s feedback on my final project was invaluable. Overall, the experience was professional and highly relevant, and I feel confident taking on larger AI projects.

HT
Haruki Tanaka
JP · Course completed

この上級コースは、私の学習目標であるAIプロジェクト全体像の把握に完璧に応えてくれました。特に、データ収集フェーズの品質管理手法や、倫理的リスク評価の実践的なチェックリストはすぐに社内プロジェクトで活用できました。PythonとTensorFlowを用いた実装演習で、実際にモデルのトレーニング計画を作成し、成果物としてプレゼン資料を完成させました。教材は最新の業界標準に沿っており、講師の丁寧な解説が学びを深めてくれます。総合的に、とても満足のいく学習体験でした。

ZD
Zanele Dlamini
ZA · Course completed

I was looking for a course that could bridge the gap between theory and real‑world AI project execution. The Advanced AI Project Planning program delivered exactly that. The detailed breakdown of stakeholder communication plans gave me tools to negotiate resources in my non‑profit tech team. I also loved the hands‑on workshop where we built a risk matrix for a computer‑vision project, which I later used to secure additional funding. The course materials were well‑structured, with downloadable templates that saved me hours of work. The tone was friendly and the community discussions were vibrant, making the whole experience both educational and enjoyable.





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Recently updated!

May 2026