CPMAI Phase 4 | Model Development for AI Projects | From AutoML to GenAI (Explained)

Описание: Model Development is where your AI project moves from data work to real performance.
In this episode, we break down CPMAI Phase 4: Model Development in a clear, practical way—especially useful for project managers and teams delivering AI/ML + GenAI solutions.

What you’ll learn in CPMAI Phase 4 (Model Development)

✅ AutoML — when automation helps (and when it hides risk)
✅ MLaaS — using managed ML platforms to speed delivery
✅ Model Training — how training actually works in real projects
✅ Foundation Models — where they fit (use vs fine-tune vs build)
✅ GenAI — practical pathways for GenAI solutions in projects
✅ Modeling Technique — choosing the right approach for the problem
✅ Model Build — turning experimentation into a usable model
✅ Model Assessment — evaluating performance, errors, and readiness

Who this is for

AI Project Managers / Program Managers

Product owners, analysts, engineers working on AI/ML delivery

Anyone learning CPMAI phases to understand the end-to-end AI project lifecycle

Mini-challenge (comment your answer)

If you had to pick one for faster delivery: AutoML, MLaaS, or a Foundation Model—what would you choose and why?

You will be able to answer CPMAI exam questions by understanding these concepts !

Series continuity (watch in order)

Phase 1: Business Understanding → Phase 2: Data Understanding → Phase 3: Data Preparation → Phase 4: Model Development

This content is an educational breakdown aligned with commonly referenced CPMAI Phase 4 concepts to help professionals manage AI projects effectively.

👍 If you’re managing an AI initiative, save this episode—Phase 4 is where scope, cost, and timeline can change fast if decisions aren’t controlled.

#CPMAI #AIProjectManagement #MachineLearning