Intermediate · Enterprise & Business AI
NEWI5AI Product & Project Management
Lead AI initiatives from idea to impact: scope smart, manage uncertainty, and prove value.
Who it's for
Project managers, product owners, business analysts, and digital transformation leads working on AI initiatives.
You'll walk away with
An AI project charter and product requirements document (PRD)
Lead AI initiatives from idea to deployment: scoping problems, managing the AI lifecycle and its uncertainty, working with technical teams, and measuring value.
Format
- Lectures + case studies + workshops
Assessment
Pre- and post-tests; project charter presentation
Tools & platforms
- AI canvasPRD & evaluation templates
Programme Curriculum
What you'll be able to do
- Scope AI problems and define measurable success criteria
- Manage the AI project lifecycle across data, model, and evaluation phases
- Collaborate effectively with data scientists, engineers, and vendors
- Plan deployment, adoption, and continuous improvement
Your learning journey
Module 1
AI Product Thinking
- Problem–Solution FitFraming AI opportunities; when not to use AI; user-centered AI design
Module 2
Lifecycle & Delivery
- Managing AI ProjectsCRISP-DM and agile for AI; data requirements; experimentation and iteration
- Evaluation & AcceptanceDefining acceptance criteria; evaluating ML models and LLM applications
Module 3
Stakeholders, Vendors & Risk
- Build, Buy, or PartnerVendor evaluation; cost estimation; contracts; risk and compliance checkpoints
Module 4
Launch & Scale
- From Pilot to ProductionMLOps concepts for managers; adoption metrics; continuous improvement
- Charter PresentationPresent your AI project charter and PRD; peer and faculty feedback
