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

Chain of Thought Mini Project (Hands-On Practice)

In this lesson, we move from theory to action. You will apply chain of thought prompting in a practical mini project based on real-world tasks like study planning and budgeting.

Instead of only learning the concept, you will practice building step-by-step reasoning prompts that turn AI into a structured thinking partner.


📘 What You Will Learn

  • How to choose the right task for structured prompting

  • How to design prompts step by step

  • Why vague prompts produce generic answers

  • How constraints improve reasoning

  • How to guide AI like a structured planner

  • How to turn AI into a practical problem-solving partner


👥 Who This Lesson Is For

Students, prompt engineering beginners, productivity enthusiasts, educators, planners, and anyone who wants structured AI output.


🌍 Practical Applications

  • Creating daily study plans

  • Monthly budgeting and expense analysis

  • Time management planning

  • Productivity improvement

  • Structured decision-making


🚀 Career Relevance

Structured prompting for reasoning-based tasks is a valuable professional skill. Whether planning projects, analyzing budgets, or organizing schedules, clear prompt design improves output quality and efficiency.


This lesson is part of the Practical Prompt Engineering Series, designed to move from understanding concepts to applying them through guided mini projects.