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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-essentials-practical-use-cases/
课程评论：没有评论
课程名称：生成性人工智能基础 - 实用案例 课程概述： “生成性人工智能基础 - 实用案例”课程适合所有水平的学习者，从初学者到有经验的专业人士，旨在通过有效的提示工程探索生成性人工智能的世界。本课程是掌握生成性AI的入门之路，提供了基本概念和实践经验。 课程内容将从生成性AI的概述开始，追溯其在更广泛的AI生态系统中的演变，并涵盖必要的生成性AI术语。接下来，我们将研究提示工程的基本概念及其最佳实践。课程的核心是针对特定领域的实用案例，旨在简化和增强日常工作流程。此外，我们还将讨论使用生成性AI的潜在风险和挑战。最后，我们将通过一个利用AWS Bedrock的激动人心的顶点项目来结束课程。 无论您是AI新手还是有一定经验，本课程将指导您通过基础概念和每个学习阶段。 什么是生成性人工智能？ 生成性AI是人工智能的一个子集，能够创建新内容，包括图像、视频、音乐、文本、代码等。它通过学习大量现有信息的数据集，并利用这些知识生成新颖、清晰和精确的输出。 学生评价： ★★★★★ “课程清晰、简明且节奏适中，适合所有人。讲师讲解了许多有趣且相关的话题，并包含了实际例子和练习。我强烈推荐这门课程给任何人。” ★★★★★ “这门课程将清晰的讲解与实践练习结合起来，为探索生成性AI的世界提供了一次实用而深刻的旅程。对任何渴望探索这一激动人心的领域的人来说，极力推荐！” ★★★★★ “作为生成性AI概念的新手，我非常享受，生动的动画帮助我理解概念。这门课程最好的部分是实践使用案例。” 课程结构： - 讲座 - 演示 - 测验 - 作业 课程内容： - 生成性AI入门 - 生成性AI术语： - 生成对抗网络（GANs） - 变分自编码器（VAEs） - 基础模型（FMs） - 大语言模型（LLMs） - 检索增强生成（RAG） - 提示工程 - 使用生成性AI工具和平台的实践案例： - 邮件撰写 - 摘要生成 - PDF阅读器聊天 - 内容创作：博客、YouTube视频等 - 文本转图像 - 文本转视频 - 创建演示文稿 - 产品和时尚摄影 - 设计品牌标志 - 捕获和分享虚拟会议中的见解 - 编码和开发 - 数据分析 - 用生成性AI构建网站 - 使用生成性AI部署网站 - 负责任的生成性AI - 潜在风险 - 伦理考虑 - 最佳实践 - 使用AWS Bedrock的顶点项目 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 课程的所有部分均通过现场演示，提供逐步指导，帮助您设置本地环境，执行所有练习，并通过实际操作学习。
What's Covered in this Course?The "Generative AI Essentials - Practical Use Cases" course is tailored for learners of all levels, from beginners to seasoned professionals eager to explore the world of Generative AI through effective Prompt Engineering. This course serves as your gateway to mastering generative AI, offering essential concepts and practical, hands-on experience.We'll begin with an overview of Generative AI, tracing its evolution within the broader AI ecosystem, and then cover essential GenAI terminologies. Following this, we'll examine the fundamental concepts of prompt engineering and its best practices. The core of this course is practical use cases-domain-specific scenarios designed to streamline and enhance your daily workflows. We will also address the potential risks and challenges of using Generative AI. Finally, we'll conclude with an exciting capstone project utilizing AWS Bedrock.Whether you're new to AI or have some experience, this course will guide you through foundational concepts and each stage of learning.What is Generative AI?Generative AI is a subset of artificial intelligence capable of creating new content, including images, videos, music, text, code, and more. It achieves this by learning from extensive datasets of existing information and leveraging that knowledge to produce fresh, clean, and precise outputs.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:★★★★★ "A clear, concise and well-paced course which is suitable for all. The instructor goes through many interesting and relevant topics and even includes practical examples and exercises. I highly recommend this course to anyone."★★★★★ "This course combines clear instruction with hands-on exercises, offering a practical and insightful journey into the world of generative AI. Highly recommended for anyone eager to explore this exciting field!."★★★★★ "As a novice to GenAI concepts, I am throughly enjoying, great animations to explain concepts in understandable way so far. The best part of this course is the hands-on use cases."Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Getting Started with GenAIGenAI Terminologies:- Generative adversarial networks (GANs)- Variational Autoencoder (VAEs)- Foundational Models (FMs)- Large Language Models (LLMs)- Retrieval Augmented Generation (RAG)Prompt EngineeringHands-On Use Cases on GenAI Tools & Platforms:- Email Composition- Summarization- Pdf Reader Chat with PDF- Content Creation: blogs, YouTube video etc- Text to Image- Text to Video- Creating Presentations- Product & Fashion Photo Shoots- Design Your Brand logo- Capture and Share Insights from Virtual Meetings- Coding and Development- Data Analysis- Building Website with Generative AI- Deploying Website with Generative AIResponsible Generative AIPotential RisksEthical ConsiderationsBest PracticesCapstone Project using AWS BedrockCourse 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 of this course are demonstrated live, providing step-by-step guidance to help you set up your local environment, perform all exercises, and learn through hands-on practice.
