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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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People also ask

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 signed up for this course hoping to get a better grip on managing AI projects, and it didn’t disappoint. The casual, hands‑on style made the concepts click – I especially loved the interactive labs where we built a simple chatbot using agile sprints. The video lessons were clear, and the reference guide on AI risk assessment was super useful for my role at a marketing agency. All in all, it was a great mix of theory and practical tools, and I’m now able to run AI initiatives more smoothly.

MC
Michael Carter
US · Course completed

The Agile Project Management for Artificial Intelligence course perfectly aligned with my goal of leading AI‑focused product teams. The modules on sprint planning for model training cycles gave me a concrete framework I could apply immediately, and the case study on deploying a recommendation engine helped me translate theory into practice. The course materials—especially the downloadable Kanban templates and AI‑ethics checklist—were high‑quality and directly relevant to my daily work at a fintech startup. Overall, the learning experience was professional and insightful, and I feel fully equipped to drive agile AI projects with confidence.

HT
Haruki Tanaka
JP · Course completed

Wow! This course was exactly what I needed to boost my career in AI product development. The enthusiastic instructors broke down complex topics like continuous integration of machine‑learning models into bite‑size, actionable steps. I especially appreciated the real‑world example where we used agile retrospectives to improve a computer‑vision project’s accuracy by 12%. The downloadable slide decks and code snippets were top‑notch, making it easy to revisit the material. I finished the program feeling energized and fully prepared to lead agile AI teams.

ZD
Zanele Dlamini
ZA · Course completed

The Agile Project Management for Artificial Intelligence course offered a detailed and thorough exploration of how agile methodologies intersect with AI development. I learned to construct sprint backlogs that include data‑preparation tasks, model validation, and stakeholder demos, which directly helped me meet my objective of improving project transparency at my consultancy. Specific takeaways include a step‑by‑step guide for setting up CI/CD pipelines for TensorFlow models and a comprehensive risk‑mitigation matrix tailored to AI ethics. The course resources—particularly the annotated case studies and the interactive quizzes—were of high quality and kept the content relevant throughout. My overall experience was highly satisfying; I now have a solid, actionable framework to manage AI projects effectively.





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Recently updated!

May 2026