Mastering Prompt Engineering for GenAI - Practical Workshop

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课程主页: https://www.udemy.com/course/mastering-prompt-engineering-for-genai-practical-workshop/

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课程名称:掌握生成AI的提示工程 - 实用工作坊 课程概述: “掌握生成AI的提示工程 - 实用工作坊”旨在满足不同水平学习者的需求,从初学者到有经验的专业人士,帮助他们有效地进行提示工程,探索生成AI的世界。本课程作为生成AI有效提示工程的基础,帮助您从AI系统中提取准确且有意义的回应。课程内容包括提示工程基础、语言模型(LLM)的基本知识、提示构建的构成以及基本概念。课程还涵盖提示工程框架、优化提示及负责任的提示工程。我们将通过实际案例展示在HR、开发、学习与发展及艺术等多个领域的应用,使用的工具包括ChatGPT、Copilot、Visme、LimeWire及Gemini。课程最后将讨论最佳实践、安全考虑及伦理指南。无论您是刚接触生成AI/提示工程,还是希望深化理解,本课程都旨在满足您的需求。 提示工程概述: 提示工程是与生成AI系统有效互动的重要组成部分。它涉及构建清晰且具体的指令或查询,以有效地与生成AI模型交互。通过制定准确的提示,用户可以从AI系统中提取到准确与有意义的回应,从而增强其性能和可用性。提示工程在确保AI系统满足用户需求、并可在各种应用中高效使用中起着至关重要的作用。 学生评价: ★★★★★ "课程简单易懂,适合任何想学习生成AI的人。它简化了AI模型、文本生成和图像创建等复杂主题,使其更易于理解。" ★★★★★ "很好的课程!帮助我理清了提示工程的概念。" 课程结构: - 讲座 - 演示 - 测验 - 作业 课程内容: - AI生态系统简介 - 开始提示工程 - LLM概览 - 常用提示工程工具集 - 提示构成 - 提示工程框架 - 现实案例应用: - 邮件撰写与回复 - 博客撰写 - 图像生成 - 摘要 - 行程安排 - 候选人筛选 - 建设性沟通 - 个性化培训与发展 - 议程准备(TOC) - 评估准备 - 面试准备 - 歌词/诗歌创作 - 音乐创作 - PowerPoint演示文稿制作 - 使用ChatGPT、Copilot、Visme、LimeWire、Gemini进行提示工程 - 潜在风险 - 伦理考虑 - 最佳实践 课程更新: - 2025年5月9日 - 新增“Google Vertex AI Studio”讲座 - 2025年5月12日 - 新增“Google Firebase Studio构建项目”讲座 所有课程部分均进行现场演示,以指导您创建本地环境,完成所有练习,通过实际操作进行学习!

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What's Covered in this Course?The "Mastering Prompt Engineering for GenAI - Practical Workshop" course is designed to accommodate learners of all levels, from beginners to experienced professionals looking to explore the world of GenAI with effective Prompt Engineering. This course serves as a foundational pillar in Effective Prompt Engineering for GenAI, enabling you to extract accurate and meaningful responses from AI systems.You will start with the basics of Prompt Engineering, including fundamentals of LLMs, Prompt Anatomy, and essential concepts. The course also covers Prompt Engineering Frameworks, Refining Prompts, and Responsible Prompt Engineering. Practical, hands-on use cases across various domains like HR, Development, L & D, and Art are demonstrated with tools including ChatGPT, Copilot, Visme, LimeWire, and Gemini. It concludes with best practices, safety considerations, and ethical guidelines.Whether you're new to GenAI/Prompt Engineering or aiming to deepen your understanding, this course is tailored to meet your needs.What is Prompt Engineering?Prompt engineering is a crucial aspect of working with GenAI systems. It involves crafting clear and specific instructions or queries to interact with GenAI models effectively. By formulating precise prompts, users can extract accurate and meaningful responses from AI systems, enhancing their performance and usability. It plays a vital role in ensuring that AI systems align with user requirements and can be used efficiently in various applications.Legal Notice:ChatGPT is an open-source, community-driven software managed by the OpenAI. ChatGPT/OpenAI and the ChatGPT/OpenAI logo are trademarks or registered trademarks of The OpenAI in one or many countries. The OpenAI and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by The OpenAI.Student Testimonials:★★★★★ "course is easy to follow and perfect for anyone interested in learning about generative AI. It simplifies complex topics like AI models, text generation, and image creation, making it accessible."★★★★★ "Great course! Helped me clear my concepts of Prompt Engineering."Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Introduction to AI EcosystemGetting Started with Prompt EngineeringLLM's at a GlancePopular Prompt Engineering ToolsetPrompt AnatomyPrompt Engineering FrameworksReal World Use Cases:- Email Composition and Response- Crafting Blog Posts- Image Generation- Summarization- Itineraries- Candidate Screening- Constructive Communication- Personalized Training and Development- Agenda Preparation (TOC)- Preparing Assessments- Agenda Preparation (TOC)Preparing Assessments- Preparation for Interview- Song Lyrics/Poems- Music Composition- Power Point PresentationsPrompt Engineering using ChatGPT, Copilot, Visme, LimeWire, GeminiPotential RisksEthical ConsiderationsBest PracticesCourse Update:May 09, 2025 - Added a new lecture on "Google Vertex AI Studio"May 12, 2025 - Added a new lecture on "Google Firebase Studio for Building Projects"All sections in this course are demonstrated Live, to guide and direct you to create your own local environment, perform all exercises and learn by doing!!!

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