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

Real-World Prompting: Education, Content & Coding

Artificial Intelligence becomes powerful when you know how to guide it correctly. In this lesson, you will learn how prompt engineering applies to real-world tasks so you can use AI confidently and professionally.

This session focuses on three key areas: education, content creation, and coding, and shows how structured prompts improve clarity and accuracy.

📘 What You Will Learn

  • How to structure prompts for education and tutoring

  • How to make AI respond like a helpful teacher

  • How to write focused content prompts (topic, audience, tone, length)

  • How to avoid vague blog and script instructions

  • How to debug code using explanation-based prompting

  • How giving AI a clear role, method, and goal improves results

👥 Who This Lesson Is For

Students, content creators, developers, educators, beginners, and professionals who want better AI outputs.

🌍 Practical Applications

  • Beginner-friendly explanations

  • Blog posts and social captions

  • Step-by-step code debugging

  • Structured learning content

  • Productivity improvement using AI tools

🚀 Career Relevance

Prompt engineering is becoming a core workplace skill across tech, marketing, education, and business. Professionals who guide AI clearly produce more reliable and structured results.

This lesson is part of the Prompt Engineering Complete Course, designed to build practical AI skills step by step.

Next Lesson: Advanced prompt structures and when to use (or avoid) step-by-step reasoning.

Exercise Files
LMS-PE-M6-P1.pdf
Size: 4.18 MB
Previous
Next