Course Content
Introduction to Prompt Engineering
• What is Prompt Engineering? • Why prompts matter in AI systems • How Large Language Models (LLMs) work (high-level) • Prompt vs traditional programming • Real-world applications (education, coding, marketing, design) Outcome: Understand the role of prompts in AI interaction
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Fundamentals of Prompts
• What is a prompt? • Types of prompts: o Question-based o Instruction-based o Command-based o Context-based • Prompt structure: o Instruction o Context o Input data o Output format Hands-on: Writing simple prompts and observing responses
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Prompt Components & Best Practices
• Clarity and specificity • Tone and role assignment • Constraints and boundaries • Formatting prompts (lists, tables, JSON, markdown) • Avoiding ambiguity Hands-on: Improve weak prompts into strong prompts
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Prompting Techniques
• Zero-shot prompting • One-shot prompting • Few-shot prompting • Role prompting (e.g., “Act as a teacher…”) • Step-by-step prompting Hands-on: Compare outputs using different techniques
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Chain-of-Thought & Reasoning
Chain-of-Thought Prompting is a technique where we ask AI to explain its reasoning step by step before giving the final answer. It improves clarity, reduces mistakes, and works best for complex problems that require logical thinking.
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Ethics, Safety & Limitations
• Bias in AI responses • Responsible prompting • Data privacy considerations • Limitations of LLMs • Human-in-the-loop concept
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Capstone Project
• Design an end-to-end prompt solution for: o Chatbot o Learning assistant o Content generator o Coding helper • Documentation of prompt logic • Presentation & evaluation
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Prompt Engineering

Prompting Techniques – Part 2

Role Prompting & Step-by-Step Prompting

In this lesson, you will learn how small changes in your prompt can completely change AI output.

This session focuses on two powerful techniques and how to compare results effectively.


📚 Course

Prompt Engineering Mastery

⏱ Duration

5.8 Minutes


🎯 What You Will Learn

1️⃣ Role Prompting

Learn how assigning roles like:

  • “Act as a teacher”

  • “Act as a career mentor”

  • “Act as a financial advisor”

changes tone, clarity, and depth of AI responses.

2️⃣ Step-by-Step Prompting

Use instructions like:

  • “Explain step by step”

  • “Break it into simple steps”

  • “First analyze, then conclude”

to improve reasoning and structured output.

3️⃣ Output Comparison

Compare:

  • A normal prompt

  • A role-based prompt

  • A step-by-step prompt

Understand how different techniques produce different results.


🎯 Skill Outcome

After this lesson, you will be able to:

  • Use role prompting confidently

  • Apply step-by-step prompting for clarity

  • Compare AI outputs critically

  • Choose the right prompting technique for your goal


🎓 Who This Lesson Is For

Students, AI beginners, freshers preparing for tech roles, career switchers, and anyone who wants better control over AI tools.

Exercise Files
LMS-PE-M4-P2.pdf
Size: 4.18 MB