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人工知能プロジェクト計画上級認定(advanced) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Ai戦略策定

2

プロジェクトスコープ定義

3

リスクマネジメント

4

ステークホルダー分析

5

データガバナンス設計

6

アルゴリズム選定

7

モデル評価基準設定

8

倫理・コンプライアンス

9

開発ロードマップ作成

10

リソース配分計画

11

品質保証プロセス

12

テスト戦略策定

13

デプロイメント計画

14

運用監視設計

15

継続的改善フレームワーク

16

予算管理

17

スケジュール管理

18

コミュニケーション計画

19

変更管理手順

20

成果物レビュー

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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Certificate
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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

Honestly, this course was a game‑changer for my role as a data analyst at a fintech firm. The practical workshops on budgeting AI projects and setting realistic milestones helped me rewrite our project charter for a fraud‑detection model. I loved the hands‑on labs where we built a simple AI roadmap using the provided Excel tools – it made the theory feel real. The reading material was spot‑on, concise, and full of current industry examples. I left feeling well‑equipped to plan bigger AI initiatives, and my manager noticed the improvement straight away.

MC
Michael Carter
US · Course completed

The Advanced AI Project Planning certification was exactly what I needed to move from theory to execution. The modules on stakeholder mapping and risk‑based scheduling gave me a clear framework that I applied to a multi‑phase AI‑driven recommendation system at my startup. I was especially impressed by the real‑world case studies and the downloadable Gantt‑chart templates, which cut my planning time in half. The instructors answered my questions promptly, and the course materials stayed up‑to‑date with the latest MLOps practices. Overall, the program exceeded my learning goals and boosted my confidence in leading AI projects.

HT
Haruka Tanaka
JP · Course completed

Wow! This advanced course blew me away with its depth and relevance. I was able to take the strategic planning framework and instantly apply it to a hospital AI‑diagnostics project, defining clear deliverables and a risk‑mitigation plan that impressed the board. The video lectures were crystal‑clear, and the supplemental PDFs on AI ethics and compliance were exactly what we need in Japan's regulated environment. The instructor’s enthusiasm kept me motivated, and the peer‑review assignments gave me practical feedback. I finished the course feeling fully prepared to lead large‑scale AI deployments.

ZD
Zanele Dlamini
ZA · Course completed

The course delivered a thorough, step‑by‑step guide to planning sophisticated AI projects. I particularly valued the detailed module on resource allocation, which taught me how to balance data scientists, engineers, and domain experts across project phases. Using the provided case study of a supply‑chain optimization AI, I built a full project schedule that I later presented to my company's senior leadership. The reading list included up‑to‑date research papers and practical toolkits, which made the content highly relevant. My overall experience was very positive; the blend of theory, examples, and actionable templates helped me meet my professional development goals.





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Recently updated!

May 2026