At the forefront of project management for Artificial Intelligence (AI), this course addresses the growing need for innovative and adaptive methodologies to lead AI initiatives. Recognizing that traditional management models do not align with the dynamic nature of AI projects, the program immerses participants in Design Thinking, Agile, Lean Start-up, and DevOps. From introduction to practical application, the course provides a solid understanding of material and human resource management, essential for railway signaling and telecommunications systems, and prepares participants to manage AI projects with agility and a mindset of continuous innovation.
Sectorial
Desarrollo de IA
40 h
Ideation methodologies and techniques and AI project management
Desarrollo de IA
40 h
Presentación
Objetivos
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Understand why AI projects do not fit traditional project management methodologies
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Become familiar with adaptive methodologies such as Design Thinking, Agile, Lean Start-up, and DevOps, best suited for AI projects
Índice de contenidos
UNIT 1. INTRODUCTION
Introduction
Key elements in AI project management
AI project characteristics
Introduction to the main agile and ideation methodologies
Methodology integration
UNIT 2. DESIGN THINKING
Introduction
Phase I: Empathize
Phase II: Define
Phase III: Devise
Phase IV: Prototype
UNIT 3. LEAN START-UP AND SCRUM
Lean start-up. Basic concepts
Lean start-up. Tools
Scrum. Introduction
Scrum. Roles
Scrum. Ceremonies and artifacts
UNIT 4. APPLICATION TO AI PROJECTS
Introduction
Project ideation
Project implementation
Advise on implementing methodologies
Summary and conclusions
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