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. Recognising that Traditional management models are not suited to the dynamic nature of AI projects, the programme immerses participants in Design Thinking, Agile, Lean Start-up and DevOps. From an introduction to practical application, the course provides a a sound understanding of material and human resource management, essential for railway signalling and telecommunications systems, and equips participants with the skills to manage AI projects using agility and a mindset of continuous innovation.
Sector-specific
AI Development
40 hours
Ideation methodologies and techniques, and AI project management
AI Development
40 hours
Introduction
Objectives
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Understand why AI projects do not fit within traditional project management methodologies
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Familiarise yourself with adaptive methodologies such as Design Thinking, Agile, Lean Start-up and DevOps, best suited for AI projects
Table of Contents
UNIT 1. INTRODUCTION
Introduction
Key elements in AI project management
Characteristics of AI projects
Introduction to the main agile and ideation methodologies
Integration of methodologies
UNIT 2. DESIGN THINKING
Introduction
Phase I: Empathise
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 artefacts
UNIT 4. APPLICATION TO AI PROJECTS
Introduction
Project ideation
Project implementation
Provide advice on implementing methodologies
Summary and conclusions
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