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AI Fundamentals
Level: Beginner58 lessons
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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

  1. Explain “The Model Training Pipeline” in your own words.
  2. Give one appropriate and one misleading application.
  3. What risk or limitation should be monitored?