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

Introduction to Large Language Models (LLMs)

If you are a student, fresher, or career switcher entering the AI field, this chapter will give you strong foundational clarity about how modern AI systems actually work.

Large Language Models (LLMs) power tools like ChatGPT, Google Gemini, and many Generative AI applications. In this lesson, you will understand what LLMs are, how they are trained, and how they generate responses.

🎯 What You Will Learn

  • What a Large Language Model (LLM) is

  • How LLMs learn from massive text datasets

  • How AI predicts the next word in a sentence

  • How responses are generated step-by-step

  • A real-life example for clear understanding

  • Why prompts control and shape AI output

🧠 Key Concepts Covered

  • LLMs learn from huge volumes of text data

  • They do not “think” like humans — they predict patterns

  • AI responses are probability-based

  • Better prompts lead to better results

This chapter is part of the Prompt Engineering Mastery training series designed especially for beginners in Artificial Intelligence and Generative AI.

🎓 Who This Chapter Is For

  • College students

  • Beginners in AI

  • Freshers preparing for AI roles

  • Career switchers entering tech

  • Anyone curious about how ChatGPT works

⏱ Duration: 7 Minutes

📚 Module: Introduction to Prompt Engineering

Start building strong AI fundamentals step by step and prepare yourself for real-world AI applications.

Exercise Files
LMS-PE-M1-L2.pdf
Size: 4.12 MB
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