How AI Systems Work
The Model Training Pipeline
From problem definition and data to training, deployment, and monitoring.
In this lesson
Lesson goals
- A measurable objective
- Experimentation and tuning
- Monitoring after deployment
Core idea
From problem definition and data to training, deployment, and monitoring.
1. A measurable objective: understand it in context, identify inputs and outputs, and define how the result will be verified.
2. Experimentation and tuning: understand it in context, identify inputs and outputs, and define how the result will be verified.
3. Monitoring after deployment: understand it in context, identify inputs and outputs, and define how the result will be verified.
Practical example
Consider a real application of “The Model Training Pipeline.” Start small, identify available data, and compare the system with a clear baseline before expanding it.
Check your understanding
- Explain “The Model Training Pipeline” in your own words.
- Give one appropriate and one misleading application.
- What risk or limitation should be monitored?

