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Prompt Engineering Fundamentals Craft Better AI Prompts
Published 8/2026
Created by Glory Tshokama
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 26 Lectures ( 5h 55m ) | Size: 3.4 GB
A fast, practical crash course in prompt engineering: techniques, templates, and a reusable prompt library
What you'll learn
Understand how large language models actually generate text
Apply the 4 building blocks of an effective prompt: role, context, task, format
Use zero-shot, few-shot, chain-of-thought, and role-based prompting techniques
Adapt your prompting approach to writing, analysis, code, and creative tasks
Diagnose and fix common prompt failures, including hallucinations
Build a personal, reusable library of prompt templatesRequirements
No technical or coding background required
Access to any AI chat tool (ᑕᕼᗩTGᑭT, Claude, Gemini, or similar)Description
This course contains the use of artificial intelligence.
Prompt Engineering Fundamentals: Craft Effective Prompts for Any AI Model
Most people use AI tools the same way they use a search engine: type a quick question, hope for the best, and give up if the answer isn't great. Prompt engineering is the difference between that experience and consistently getting exactly what you need.
This is a fast, practical crash course. In under two hours, you'll learn how large language models actually generate text, the anatomy of a prompt that works, the core techniques professional prompt engineers rely on, and how to adapt all of it to your own writing, analysis, coding, or creative tasks. You'll also learn why prompts fail, including hallucinations, and exactly how to debug and fix them.
There's no filler here. Every module is built for maximum practical value in minimum time, and you'll leave with a personal library of reusable prompt templates you can start using the same day.
What You Will Learn
In this course, you will learn how to
Understand how large language models actually generate text
Apply the 4 building blocks of an effective prompt: role, context, task, format
Use zero-shot, few-shot, chain-of-thought, and role-based prompting techniques
Adapt your prompting approach to writing, analysis, code, and creative tasks
Diagnose and fix common prompt failures, including hallucinations
Build a personal, reusable library of prompt templatesWhat You Will Build in the Class Project
Throughout this course, you will complete real, hands-on exercises, including
A before-and-after prompt rewrite, showing exactly what changed and why
One task solved three different ways, compared side by side
A working prompt for your own most common task
Three broken prompts, diagnosed and fixed
A personal prompt library with 5+ reusable templatesBy the end of the course, you will have a working prompting toolkit you can use immediately, not just theory.
Who this course is for
Anyone who uses AI tools regularly and wants **more reliable, higher-quality output
Professionals who want to use AI more effectively in their day-to-day work
Beginners who've never thought about how they ask AI for things
Content creators, marketers, analysts, and developers who want a practical, no-fluff crash course
Anyone who's tried prompting and thought "there has to be a better way to do this"Homepage
Code:
https://www.udemy.com/course/prompt-engineering-fundamentals-craft-better-ai-prompts
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