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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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We offer immediate access to our course materials through our open enrollment system. This means:

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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 Kingdom
OH
Oliver Hughes
GB · Course completed

What an exhilarating experience! This course turned my vague interest in AI project management into real expertise. The case study on deploying a reinforcement‑learning system using Scrum gave me a step‑by‑step playbook that I used in my current role, cutting deployment time by 40 %. The interactive quizzes and the supplemental reading pack were top‑notch, keeping the material fresh and directly applicable. I'm thrilled with how the course aligned with my career aspirations and left me brimming with confidence to lead AI‑driven agile teams.

MC
Michael Carter
US · Course completed

The *Artificial Intelligence Agile Project Management* course delivered exactly what I needed to bridge the gap between AI development and agile execution. The module on sprint planning for machine‑learning pipelines gave me a concrete framework that I immediately applied to my team's next project, reducing our iteration cycle from six weeks to three. The reading materials were up‑to‑date, with case studies from leading tech firms that felt directly relevant. Overall, the structured approach and clear assessments helped me meet my certification goal and boosted my confidence in leading AI‑focused agile teams.

SL
Sophie Laurent
CA · Course completed

I loved how the course broke down complex AI concepts into bite‑size agile practices. The hands‑on labs where we built a simple chatbot using Kanban really stuck with me—now I can explain to my coworkers how to prioritize feature backlogs for AI models. The video lectures were crisp and the downloadable templates for sprint retrospectives were super handy. It definitely helped me reach my learning goal of managing AI projects more efficiently, and I left feeling pretty satisfied with the practical tools I got.

HT
Haruki Tanaka
JP · Course completed

The course provided a very detailed roadmap for integrating agile methods with AI development cycles. I especially appreciated the segment on backlog grooming for data‑labeling tasks, which I have already implemented in my department, resulting in a 25 % reduction in data preparation time. The lecture slides were thorough, and the supplementary research papers were current, ensuring relevance to today’s industry standards. Overall, the learning experience was comprehensive and met my goal of mastering agile project management for AI projects.





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Recently updated!

May 2026