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面向人工智能的敏捷项目管理

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Overview

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Learning outcomes

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Course content

1

Ai需求规划

2

Ai迭代开发

3

Ai质量管理

4

Ai团队协作

5

Ai持续改进

Career Path

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Key facts

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Why this course

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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
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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
ST
Sarah Thompson
GB · Course completed

I loved the practical angle of this course. It helped me finally understand how to blend agile ceremonies with the iterative nature of machine‑learning experiments. For example, I used the "AI sprint review" checklist to showcase model accuracy improvements to stakeholders, which impressed my manager. The video lectures were clear and the reading pack included recent research papers, keeping everything relevant. A solid experience that boosted my confidence in managing AI‑focused projects.

MC
Michael Carter
US · Course completed

The "面向人工智能的敏捷项目管理" course precisely hit my learning objectives. By the end of week three I could draft a sprint backlog that incorporated AI model training milestones, something I had struggled with before. The case studies on real‑world AI product launches were especially valuable, and the downloadable templates made it easy to apply the concepts to my current project at a fintech startup. Overall, the materials were up‑to‑date and the instructor’s feedback was prompt, giving me confidence to lead my team’s next AI sprint.

AP
Ananya Patel
IN · Course completed

What a fantastic learning journey! The course broke down complex agile concepts into bite‑size modules that fit perfectly with my goal of leading AI product development at my startup. I especially appreciated the hands‑on lab where we built a Kanban board for a computer‑vision project and practiced backlog grooming with real data‑labeling tasks. The supplemental slides were rich with examples from Indian tech firms, making the content feel very relevant. I finished the course feeling fully equipped to drive agile AI initiatives.

ZD
Zanele Dlamini
ZA · Course completed

This course delivered exactly what I needed to bridge the gap between agile project management and AI development. The detailed walkthrough of sprint planning for neural‑network training cycles gave me a concrete framework I could implement at my consultancy. I also liked the interactive quizzes that tested my grasp of metrics like precision‑recall within an agile context. The course materials were well‑structured, with downloadable worksheets that helped me translate theory into practice. Overall, a very rewarding experience.





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Recently updated!

May 2026