Prompt Engineering in Generative AI: Types & Techniques

Описание: Master Prompt Engineering in 20 Minutes | Zero-Shot, Few-Shot, Chain of Thought & More

Want to truly understand how prompting works in Generative AI?

In this video, I break down the most important prompting techniques used in modern LLMs — with practical examples and real developer setup.

If you're learning AI, building with LLMs, or working on GenAI projects, this is a must-watch.

We cover:
Zero-Shot Prompting
One-Shot Prompting
Few-Shot Prompting
Instruction-Based Prompting
Persona / Role Prompting
Chain of Thought (CoT) Prompting
Tree of Thought Prompting
Practical Prompt Engineering Tips

Whether you're a beginner or an engineer building AI products, this tutorial gives you the foundation you actually need.

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Chapters

00:00 – Intro
00:15 – Types of Prompting Overview
00:45 – Zero-Shot Prompting
01:09 – VS Code Setup
06:20 – One-Shot Prompting
07:17 – Few-Shot Prompting
09:39 – Instruction-Based Prompting
11:50 – Persona-Based Prompting
15:13 – Chain of Thought (CoT) Prompting
16:35 – Tree of Thought Prompting
20:00 – 7 Tips for Prompt Engineering
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Who This Video Is For
Developers working with LLM APIs
AI/ML Engineers
GenAI beginners
Anyone building AI-powered products
Students preparing for AI interviews

What You’ll Learn
✔️ How prompting actually works
✔️ When to use zero-shot vs few-shot
✔️ Why Chain of Thought improves reasoning
✔️ How Tree of Thought differs from CoT
✔️ How to reduce hallucinations
✔️ Real-world prompt design techniques

If this video helps you understand Prompt Engineering better:
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