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
0/5
What is Prompt?
12:49
How Large Language Models (LLMs) work (high-level)
07:15
Prompt vs traditional programming
07:44
Real-world applications (education, coding, marketing, design)
09:08
Introduction to Prompt Engineering
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
0/2
Types of prompts
09:52
Types of Prompts & Prompt Structure
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
0/3
Clarity, specificity, Tone&Role And Constrains
06:06
Formatting prompts And Avoiding ambiguity
05:44
Prompt Components & Best Practices
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
0/4
Zero-shot, One-shot, Few-shot Prompting Techniques
05:29
Role prompting And Step-by-step prompting
05:08
CaseStudy
07:44
Prompt Engineering – Prompting Techniques Quiz
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.
0/3
What is chain-of-thought prompting?
06:47
Breaking complex problems into steps
06:37
Chain-of-Thought Prompting & Structured Reasoning
Prompt Engineering for Specific Use Cases
0/4
Real-World Prompting: Education, Content & Coding
05:53
Chain of Thought Prompting for Real-World Tasks
05:10
Mini Project
04:52
Prompt Engineering for Specific Use Cases
Advanced Prompt Engineering
0/5
Prompt templates
Prompt Iteration and Refinement
System vs user prompts (conceptual)
Multi-Step Workflows
Prompt chaining
Evaluation & Optimization
0/4
Measuring prompt effectiveness
Reducing Hallucinations
Controlling Verbosity and Creativity
Handling Edge Cases and Failures
Ethics, Safety & Limitations
• Bias in AI responses • Responsible prompting • Data privacy considerations • Limitations of LLMs • Human-in-the-loop concept
0/5
Bias in AI responses
Responsible prompting
Data Privacy Considerations
Limitations of LLMs
Human-in-the-loop Concept
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
0/3
Design an end-to-end prompt solution for
Documentation of Prompt Logic
Presentation & Evaluation
Prompt Engineering

Fundamentals of Prompt Engineering

Artificial Intelligence is powerful — but only if you know how to guide it.

In this beginner-friendly lesson, you will learn the core fundamentals of Prompt Engineering and understand how small changes in wording can significantly impact AI responses.

Whether you are using tools like ChatGPT, Google Gemini, or Microsoft Copilot, writing better prompts is the key to getting accurate, structured, and useful outputs.

No coding knowledge is required.

📘 Module

AI Foundations for Beginners

📗 Lesson

Fundamentals of Prompt Engineering

🎯 What You Will Learn

  • What a Prompt is

  • Why Prompt Engineering is important

  • Different types of prompts (Question, Instruction, Command, Context-based)

  • The four essential parts of a good prompt

  • How prompt structure improves AI accuracy

  • Real examples you can apply immediately

  • Step-by-step methods to improve AI output

👨‍🎓 Who This Lesson Is For

  • College students

  • AI beginners

  • Content creators

  • Digital marketers

  • Non-technical learners

  • Anyone using AI tools

🌍 Practical Applications

You will learn how to use prompting effectively for:

  • Writing assignments

  • Creating social media content

  • Generating quiz questions

  • Summarizing long articles

  • Preparing presentations

  • Learning new technical topics

💼 Career Relevance

Prompt Engineering is emerging as a core AI skill in 2026 and beyond.

Understanding how to communicate clearly with AI improves productivity across:

  • AI & Data Science roles

  • Digital Marketing

  • Content Creation

  • Software Development

  • Business and startup environments

Better prompts lead to better results — and higher efficiency.

🤖 AI Tools Covered

  • ChatGPT

  • Google Gemini

  • Microsoft Copilot

Exercise Files
LMS-PE-M2.pdf
Size: 4.26 MB
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