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Columbus, United States · Study online with LSBA

人工智能的敏捷项目管理

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4.5
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2 months to complete
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Overview

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Learning outcomes

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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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
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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, I loved how practical this course was. The sections on using Jira for AI sprints were super helpful – I set up my own board for a prototype chatbot and it made tracking experiments a breeze. The instructor’s casual style made complex topics like continuous integration for machine‑learning pipelines easy to digest. I walked away with a solid set of agile tools that I’m already using in my day‑to‑day work at a London tech hub.

MC
Michael Carter
US · Course completed

The course exceeded my expectations. The modules on sprint planning for AI model development gave me a clear framework to integrate agile ceremonies with data science workflows. I was able to apply the backlog‑grooming techniques immediately on a project at my fintech startup, reducing iteration time by 20%. The downloadable templates and real‑world case studies were spot‑on, and the video lectures were concise yet thorough. Overall, the learning experience was professional and highly relevant to my role as a product manager.

AP
Ananya Patel
IN · Course completed

I’m thrilled with what I learned! The detailed walkthrough of agile risk management for AI projects helped me anticipate data‑drift issues before they became problems. The course also included hands‑on labs where we built a sprint backlog for an image‑recognition project, which I later presented to my senior management team. The quality of the reading materials and the relevance of the examples to the Indian startup ecosystem made the experience truly enriching.

ZD
Zanele Dlamini
ZA · Course completed

The course offered a comprehensive view of agile project management tailored for AI initiatives. I appreciated the in‑depth explanations of sprint reviews and retrospectives, especially how they can be adapted for data‑science teams. Using the provided case studies, I was able to redesign our AI development process at a Johannesburg health‑tech firm, cutting the time from model training to deployment by half. The materials were up‑to‑date and the instructor was very responsive to queries, making the whole learning journey smooth and valuable.

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Skills gained

Agile Planning
AI Integration
Risk Management
Team Collaboration
These skills will be developed throughout the course


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Taught in English

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Recently updated!

May 2026