Ch 2.1 | Prompt Structure: Role, Context, Instruction & Output Format | ISTQB CT-GenAI | بالعربي

Chapter 2.1 of the ISTQB Certified Tester – Generative AI (CT-GenAI) syllabus.

Most testers write prompts the way they write chat messages. The exam — and your results require a structured approach. This session teaches the
four-component prompt framework that the CT-GenAI syllabus defines as the
foundation of effective prompt engineering.

What this session covers:
- Why unstructured prompts produce inconsistent test outputs
- The R-C-I-O framework broken down component by component:
→ Role: how persona assignment changes model behavior
→ Context: what the model needs to know before it acts
→ Instruction: how to write unambiguous, actionable directives
→ Output Format: controlling structure, length, and format explicitly
- Token efficiency argument — why detailed prompts are an investment, not waste
- Live demo: unstructured vs structured prompt for the same test case task
- Hands-on: generating test cases with R-C-I-O vs without
- Code review for security vulnerabilities using structured prompting

🎯 Exam alignment: Covers CT-GenAI Syllabus Section 2.1.1 —
The Structure of Prompts.

📄 Presentation: https://shorturl.at/dqddR

⏱️ Timestamps:
00:00 Introduction
00:38 What is prompt Engineering?
01:30 Why prompt structure matters for test output quality
02:10 The R-C-I-O framework explained
04:43 Test Case Generation Prompt
04:53 Token efficiency — why detailed prompts save time
06:40 Live demo: unstructured prompt vs structured prompt
10:34 Defect Summary demo with Gemini
13:08 Code security review demo with Claude

📚 Full ISTQB CT-GenAI playlist: https://www.youtube.com/playlist?list=PLc5CJX1qar2swxWqpKvcp7S7hje4DTCQ_

#ISTQB #CTGenAI #PromptEngineering #RCIOFramework #SoftwareTesting
#AITesting #TestCaseGeneration #QAEngineer #ISTQBExam

Видео Ch 2.1 | Prompt Structure: Role, Context, Instruction & Output Format | ISTQB CT-GenAI | بالعربي канала Mai Alzaiat