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Gestión Ágil De Proyectos De Inteligencia Artificial

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Overview

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Learning outcomes

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Course content

1

Fundamentos De Ia Ágil

2

Planificación Y Priorización De Backlog

3

Desarrollo Iterativo Con Modelos De Ia

4

Gestión De Riesgos Y Ética En Ia

5

Entrega Y Monitoreo Continuo

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 States
MC
Michael Carter
US · Course completed

The *Gestión Ágil De Proyectos De Inteligencia Artificial* course delivered exactly what I needed to bridge my project‑management background with AI initiatives. The modular videos on sprint planning for machine‑learning pipelines helped me design a two‑week sprint that reduced model‑training time by 20% in my current role. I especially appreciated the hands‑on labs where we built a product backlog for data‑labeling tasks using JIRA’s AI template – a skill I’ve already applied to a client project. The course materials are up‑to‑date, with real‑world case studies from leading tech firms, which made the theory feel immediately relevant. Overall, the learning experience was seamless and highly professional; I feel confident leading agile AI projects now.

LS
Lucas Silva
BR · Course completed

Adorei o curso! Eu sempre quis entender como usar metodologias ágeis em projetos de IA, e o conteúdo explicou tudo de forma bem prática. Na última semana, fiz um workshop onde criamos um Kanban para acompanhar o treinamento de um modelo de visão computacional – algo que já estou usando no meu trabalho na startup. Os materiais são bem organizados, com slides claros e vídeos curtos que facilitam o estudo. Só senti falta de um pouco mais de conteúdo sobre integração contínua, mas no geral a experiência foi muito boa e me ajudou a alcançar meus objetivos de aprendizado.

FW
Felix Wagner
DE · Course completed

Wow, what an inspiring course! I was looking for a way to combine my love for AI with agile project management, and this program hit the mark perfectly. The real‑world example of launching a chatbot using Scrum sprints gave me a concrete roadmap that I could follow immediately. I especially loved the interactive simulations where we prioritized feature backlogs based on data‑quality metrics – I’m now using that exact technique in my day‑to‑day work. The course materials are top‑notch, with up‑to‑date reading lists and downloadable templates that saved me hours of work. My overall satisfaction is through the roof; I feel equipped to lead AI projects with confidence and excitement.

ZD
Zanele Dlamini
ZA · Course completed

The course offered a thorough and detailed exploration of agile practices tailored to artificial‑intelligence projects. It helped me achieve my learning goal of integrating sprint reviews into the model‑validation cycle, which I applied to a predictive‑analytics project at my company, cutting the feedback loop from two weeks to three days. Specific modules on backlog grooming for data‑engineering tasks and risk‑burndown charts were particularly useful; I now maintain a living backlog of data‑collection stories that keeps the team aligned. The provided PDFs and recorded webinars are of high quality and reference the latest industry standards. While the pacing was a bit fast in the middle sections, the overall learning experience was solid and has already improved my project delivery outcomes.





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May 2026