AI Project Management
AI Project Management
It is not about learning how to use AI but learning how to lead and manage AI Project.
Key Learning Objectives:
1. Understand the AI Spectrum from data to production and how to manage AI Projects.
2. Apply AI best practices and tools & techniques across all AI project management processes.
3. Develop AI project leadership acumen, project communications, stakeholder engagements and AI team management skills.
| Title | High Level Description |
| AI Introduction | What is AI, Machine Learning, and traditional Vs. AI software development. |
| Essential Math for Managing AI Projects | Linear Algebra, Regression, Statistics, and Neural Networks. |
| AI Project Data Management & Prompt Engineering | AI Project Data Management, Data Management Lifecycle and Prompt Engineering. |
| AI Project Quality and Performance Measurements | AI Model Development, AI Project Quality Management and Using Statistics to Measure Performance. |
| PM skills for Managing AI projects | Competencies, Roles of a Project Manager in AI Projects and PM’s Knowledge of AI Infrastructure. |
| AI Project Management | AI Project Complexity, AI Project Management – Phases and AI Project Teams (Resources). |
| AI-PCC™ Quizzes & Exam | Explanation of AI-PCC™ Practice Quizzes & Final Exam Quiz |