Learning Path

1

Introduction to AI Project Management

Understand the fundamentals of AI, machine learning concepts, and the PMI-CPMAI methodology framework.

Foundational 45 min

2

Matching AI to Business Needs

Learn to identify AI opportunities that align with organizational goals and business value.

Strategy 60 min

3

Identifying Data Requirements

Determine the data needs for AI solutions including data sources, quality, and availability.

Data 50 min

4

Data Preparation

Master data collection, cleaning, transformation, and feature engineering techniques.

Technical 75 min

5

Model Development

Learn model selection, training, hyperparameter tuning, and development best practices.

Technical 90 min

6

Testing & Evaluation

Understand model validation, performance metrics, bias detection, and quality assurance.

Quality 60 min

7

Operationalizing AI

Deploy models to production, set up monitoring, and manage inference pipelines.

Operations 65 min

8

Continuous Improvement

Implement feedback loops, monitor model drift, and optimize AI systems over time.

Maintenance 55 min