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London, United Kingdom · Study online with LSBA

कृत्रिम बुद्धिमत्ता के लिए एजाइल प्रोजेक्ट मैनेजमेंट

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Overview

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Learning outcomes

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Course content

1

एजाइल परिचय

2

एआई रणनीति

3

स्प्रिंट योजना

4

डेटा प्रबंधन

5

परिणाम मूल्यांकन

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

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

I signed up for this course hoping to get a better grip on managing AI projects, and it delivered. The content was broken down nicely – the bit on backlog grooming for data‑science tasks was super useful. I walked away with a ready‑to‑use Kanban board template that I’ve already used to keep my team’s data‑labeling work on track. The slides were clear, and the real‑world examples from the fintech sector made the theory feel practical. It wasn’t perfect – I’d have liked a few more deep‑dives into AI ethics – but overall I’m happy with what I learned and would recommend it to anyone looking to blend agile methods with AI.

MC
Michael Carter
US · Course completed

The course "कृत्रिम बुद्धिमत्ता के लिए एजाइल प्रोजेक्ट मैनेजमेंट" exceeded my expectations. It directly aligned with my goal of leading AI‑driven product teams. The modules on sprint planning for machine‑learning pipelines gave me a clear framework to break down complex model development into manageable tasks. I especially appreciated the case study on deploying a recommendation engine using Scrum, which I could immediately apply at my workplace. The video lectures were concise, the reading materials were up‑to‑date with the latest AI governance standards, and the downloadable templates saved me hours of preparation. Overall, the learning experience was seamless and highly relevant – I feel fully equipped to drive agile AI projects now.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to boost my career in AI project management. The instructor’s enthusiastic style made complex concepts like iterative model validation feel easy. I loved the hands‑on labs where we set up a sprint for a computer‑vision project, and I can now confidently run daily stand‑ups with data scientists. The PDF handouts are packed with actionable checklists – I’ve already printed the “AI Risk Backlog” list and it’s become a daily reference. The overall experience was energising and left me feeling prepared to lead agile AI initiatives at my startup.

ZD
Zanele Dlamini
ZA · Course completed

The program offered a detailed, step‑by‑step guide to integrating agile practices with artificial‑intelligence development. My learning goal was to understand how to structure AI sprints, and the course delivered precise guidance on sprint review metrics for model accuracy and latency. I found the module on stakeholder communication especially valuable – the sample stakeholder map helped me align business expectations with technical deliverables. Course materials, including the recorded webinars and the interactive quizzes, were of high quality and kept the content relevant to current industry standards. While the pacing was a bit fast in the middle, the overall learning experience was thorough and beneficial for my role as a project lead.





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Recently updated!

May 2026