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London, United Kingdom · Study online with LSBA

Programa De Desarrollo Ejecutivo En Gestión De Cartera De Proyectos De Inteligencia Artificial

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Overview

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Learning outcomes

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Course content

1

Introducción A La Ia En La Gestión De Cartera

2

Estrategias De Priorización De Proyectos Ia

3

Metodologías Ágiles Para Proyectos De Ia

4

Evaluación De Riesgos Y Ética En Ia

5

Finanzas Y Roi De Iniciativas De Ia

6

Herramientas De Monitoreo Y Control De Cartera Ia

7

Gobernanza Y Cumplimiento Regulatorio En Ia

8

Gestión Del Talento Y Equipos De Ia

9

Innovación Y Escalabilidad De Soluciones Ia

10

Transformación Digital Y Liderazgo Ejecutivo En Ia

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.

4.5
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 loved the practical vibe of this course. It helped me finally grasp how to manage a whole bunch of AI projects without getting lost in the tech jargon. The weekly workshops on agile portfolio management gave me the confidence to set up sprint boards for my team's AI prototypes. I walked away with a solid set of checklists for data governance and a neat cheat‑sheet on stakeholder communication that I’ve already used in a recent project at my fintech startup. The material was spot‑on – current, easy to follow, and full of real examples. All in all, a great mix of theory and hands‑on learning that fit my busy schedule.

MC
Michael Carter
US · Course completed

The Programa De Desarrollo Ejecutivo En Gestión De Cartera De Proyectos De Inteligencia Artificial exceeded my expectations. The curriculum aligned perfectly with my goal to lead AI initiatives across multiple business units. I especially appreciated the modules on AI risk assessment and portfolio prioritization, which gave me a clear framework to evaluate project ROI. The case studies using real‑world datasets and the hands‑on sessions with tools like Azure DevOps allowed me to build a prototype portfolio dashboard that I now present to senior leadership. The course materials were up‑to‑date, well‑structured, and included downloadable templates that I continue to use. Overall, the learning experience was professional, interactive, and highly relevant to my role.

AP
Ananya Patel
IN · Course completed

Wow! This program was exactly what I needed to boost my career in AI project management. The deep dive into portfolio balancing techniques taught me how to allocate resources between exploratory research and production‑ready models. I applied the scoring model from week three to evaluate three ongoing AI initiatives at my company, and it helped us prioritize a computer‑vision project that’s now in the pilot phase. The video lectures were crisp, the reading packs included the latest industry reports, and the live Q&A with the instructors clarified complex concepts instantly. I’m thrilled with the knowledge I gained and feel fully equipped to drive AI strategy at a senior level.

ZD
Zanele Dlamini
ZA · Course completed

The course offered a detailed and thorough exploration of AI project portfolio management. My objective was to develop a systematic approach for evaluating AI investments in our telecom division, and the program delivered exactly that. I learned to construct a multi‑criteria scoring matrix, integrate risk‑adjusted return calculations, and use the provided Excel templates to simulate different portfolio scenarios. The reading material included recent case studies from both academia and industry, which were highly relevant to the South African market. The instructor feedback on my final project was insightful, helping me refine my proposal for a predictive maintenance AI system. Overall, the experience was enriching and directly applicable to my daily work.





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May 2026