| File Name: | Prompt Engineering for Everyone Bootcamp |
| Content Source: | https://www.udemy.com/course/prompt-engineering-for-everyone-bootcamp/ |
| Genre / Category: | Other Tutorials |
| File Size : | 1.2 GB |
| Publisher: | Navid Shirzadi, Ph.D. |
| Updated and Published: | June 29, 2025 |
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
Who this course is for:
- Educators designing personalized content, study guides, or AI-powered tutoring
- Professionals looking to automate tasks, boost productivity, or improve communication with AI tools
- Developers and data analysts aiming to integrate prompting into their workflows
- Business teams using LLMs for knowledge management, customer support, and operations
- Students who want to use AI for studying, research, writing assistance, or academic productivity
- Anyone curious about how to talk to AI more clearly, effectively, and safely
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