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Agile Project Management for Artificial Intelligence

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Overview

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Learning outcomes

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Course content

1

Ai Visioning Sprint

2

Data Pipeline Sprint

3

Model Iteration Sprint

4

Ethics & Governance Sprint

5

Deployment & Monitoring Sprint

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:

  • 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.

4.8
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

A thoroughly professional programme that delivered exactly what I needed to bridge the gap between agile methodology and AI development. The detailed walkthrough of using user stories to capture data‑quality requirements was particularly insightful. I implemented a sprint review format that now includes model performance dashboards, which has improved stakeholder transparency dramatically. The course pack, with its curated research papers and template repository, is of excellent quality. My overall satisfaction is very high; I feel confident leading agile AI projects across the enterprise.

MC
Michael Carter
US · Course completed

The Agile Project Management for Artificial Intelligence course hit every target I set for my professional development. The modules on sprint planning for AI model training gave me a clear framework to break down complex data‑science projects into manageable increments. I was able to apply the backlog‑grooming techniques immediately to our internal predictive‑analytics team, reducing our iteration cycle from six weeks to three. The course materials—especially the case studies on real‑world AI deployments—were up‑to‑date and highly relevant. Overall, the learning experience was seamless, and I feel fully equipped to lead agile AI initiatives at my organization.

LS
Lucas Silva
BR · Course completed

Adorei o curso! O jeito descontraído do professor fez tudo ficar bem claro, até quando falamos de integração entre Scrum e pipelines de machine learning. Aprendi a montar um Kanban board que acompanha a preparação dos dados, o treinamento e a validação dos modelos – algo que já usei no meu projeto de recomendação de produtos. O material de apoio tem muitos exemplos práticos e links para ferramentas gratuitas, o que ajudou muito. Saí do curso satisfeito e pronto para aplicar essas práticas no meu time aqui no Rio.

RK
Rahul Kapoor
IN · Course completed

What an enthusiastic and energising experience! The instructor’s passion for both agile and AI shone through every lecture. I especially loved the hands‑on lab where we built a mini‑AI chatbot using Scrum cycles, learning how to set Definition‑of‑Done criteria for model accuracy and latency. The supplemental videos on risk mitigation for AI ethics were eye‑opening and directly applicable to my work in fintech. The course materials were crisp, current, and packed with real‑world examples. I finished the program feeling truly empowered and eager to champion agile AI practices at my company.





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May 2026