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UdemyPrompt Engineering for Everyone Bootcamp
4.5(24,983)55k studentsALL LEVELSEnglish
UdemyPrompt engineering has become essential in the AI era—and this bootcamp teaches you how to stop treating language models as black boxes and start collaborating with them strategically. You''ll learn why prompt structure matters, explore different strategies (zero-shot, few-shot, chain-of-thought, role-based), and understand the mechanics of how LLMs generate language and why they sometimes hallucinate.
The course spans real-world domains—education, healthcare, legal, marketing, software development, and data science—with practical exercises and meta-prompting techniques to refine your approach. You''ll also tackle the critical topic of hallucination reduction and ethical AI use, including bias minimization and privacy protection. No programming background required, though optional advanced modules dive into Transformers and optimization techniques for those ready to go deeper.
Prompt engineering is one of the most in-demand and future-proof skills of the AI era — and this course will teach you how to master it.
This hands-on, tool-agnostic course is designed for professionals, educators, developers, analysts, and creatives who want to harness the full potential of large language models (LLMs) like ChatGPT, Claude, Gemini, and others. Instead of treating AI like a black box, you’ll learn how to collaborate with it by crafting structured, context-aware prompts that generate accurate, useful, and safe outputs.
The course starts with foundational concepts — what prompt engineering is, why it matters, and how different types of prompts (zero-shot, few-shot, chain-of-thought, role-based, etc.) impact outcomes. You’ll gain a working understanding of how LLMs generate language, what “tokens” are, and why they sometimes hallucinate or fail to follow instructions.
From there, we dive into real-world strategies for designing effective prompts. You’ll learn how to give the model the right amount of context, test and tune your prompts, and even use meta prompting — prompting the model to help you design better prompts. Each concept is reinforced with practical examples and guided exercises across domains like education, healthcare, legal, marketing, software development, and data science.
You’ll also explore advanced concepts like prompt tuning, hybrid prompting, and ethical AI use — including how to minimize bias, avoid harmful content, and ensure privacy. The course finishes with a capstone module on hallucination reduction, where you’ll learn how to prompt the model in ways that reduce false or fabricated outputs.
No programming background is required, though technically-inclined learners will find optional advanced modules on model architecture (e.g., Transformers) and prompt optimization techniques.
What You’ll Learn:
Core principles of prompt engineering
How LLMs work and why prompt structure matters
Types of prompting strategies and when to use them
How to iterate, test, and refine your prompts for better performance
Using meta prompting to build better prompt templates
Reducing hallucination and guiding the model toward factual accuracy
Ethical use of AI in real-world applications
Prompting for different modalities (text, code, image)
Who This Course Is For:
Professionals who want to automate tasks, improve workflows, or build AI-integrated tools
Educators designing personalized learning materials or AI-assisted content
Writers, marketers, and designers looking to collaborate with AI creatively
Developers and data analysts seeking reliable, repeatable prompts for technical work
Anyone who wants to use AI more safely, effectively, and intentionally
Price
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Not the best price we've seen. The lowest we've recorded is $11.99 on 3 Aug.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.