AI Foundations · Page 18 of 57

Data and Training Basics

Learn to understand the difference between training data, prompts, outputs and saved conversation data.

Saved course progress0 of 57 pages

What you will learn

Use this outcome directly on the page activity and record the evidence in your learning journal.

Use this outcome directly on the page activity and record the evidence in your learning journal.

Use this outcome directly on the page activity and record the evidence in your learning journal.

Use this outcome directly on the page activity and record the evidence in your learning journal.

Step 1. Read the purpose of Data and Training Basics and identify the result you need.

Step 2. Prepare a harmless example, approved source or fictional data set.

Step 3. Apply the page method to understand the difference between training data, prompts, outputs and saved conversation data.

Step 4. Check the result for accuracy, privacy, clarity, fairness and usefulness.

Step 5. Complete this activity: Draw a four-box flow showing what you enter, what the service processes, what it returns and what may be stored.

Safe and responsible practice: AI output can sound confident and still be wrong. Treat it as a draft until you have checked important claims.

Draw a four-box flow showing what you enter, what the service processes, what it returns and what may be stored.

Name the task before choosing a tool

Use safe sample information

Notice uncertainty and limitations

Keep a human responsible

Complete the practical activity for data and training basics

Record what changed after review

Check the result on a mobile device

Ask a qualified person when consequences are significant

I understand the key ideas on this page. I completed or planned the practical activity.

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