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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-ai-assistant-with-large-language-models/
课程评论：没有评论
课程名称：利用大型语言模型构建你的第一个AI助手 课程概述：欢迎来到“利用大型语言模型构建你的第一个AI助手”课程。这是一个引入引人入胜的生成AI世界的起点。该课程适合初学者，教授如何从零开始构建一个AI助手（也称为“AI聊天机器人”），类似于ChatGPT的提示工程。无论是任何年龄的学生、想提升技能的专业人士，或者对AI感兴趣但需要入门的人，都欢迎参与。 在整个课程中，我们将共同开发一个名为“Scopio”的AI助手，能够回答用户问题并指导用户了解Scopic的内容。这不仅是一个理论课程。我们将每一步、每个决定和每行代码都应用于构建这个助手。 课程内容包括： - 理解AI：学习AI和机器学习的基本概念 - 构建AI助手：开发一个能够理解和回应用户查询的AI助手（“AI聊天机器人”） - 自然语言处理：深入了解标记化、嵌入和变换器架构 - 开发工具：通过FastAPI等后端开发工具和OpenAI API获得实践经验 - 实际练习：构建、测试并将你的AI助手部署到现实世界中 课程特点： - 包括4个广泛的模块，涵盖AI、机器学习和大型语言模型的理论与实践课 - 实践项目：通过一系列实际练习构建AI聊天机器人 - 实际应用：开发一个名为“Scopio”的现实生活AI助手 - 专家指导：讲师将根据其丰富的AI经验分享见解和建议 课程优势： 该课程因其实践应用和行业相关性而脱颖而出。专注于创建现实世界的AI聊天机器人，你将获得今天技术驱动产业中极其抢手的技能。灵活的自学模式和支持性社区确保你能按照自己的节奏学习并在需要时获得帮助。 完成此课程将使你能够为技术进步做出贡献，在你的领域进行创新，并在AI和技术产业中开辟新的职业机会。 课程要求： - 编程的基本知识（最好是Python）是加分项 - 对计算机科学基础知识（代数、概率等）的熟悉将有所帮助 - 课程不要求具备AI或机器学习的先前知识 课程工具包要求： - Python的FastAPI用于后端 - HTML、CSS和JavaScript基础 - OpenAI API密钥 - 用于编码环境的文本编辑器或IDE - 使用终端或命令提示符的经验 课程适合： - 有志于AI的专业人士 - 开发者和软件工程师 - 学生和教育工作者 - 对AI及其应用有好奇心的任何人 你将学习到： - 理解AI和机器学习的基础 - 了解AI助手及其设计 - 使用自然语言处理技术开发AI助手 - 实现标记化、嵌入和变换器架构 - 利用FastAPI、OpenAI的API和网络技术进行AI集成 - 积累现实世界的AI应用经验 - 导航和利用AI开发工具和平台 - 学习如何收集用户反馈并改进助手 - 提升技能并开辟AI和技术领域的新职业机会
Welcome to "Building Your First AI Assistant with Large Language Models." It is a starting point to the fascinating world of Generative AI. This is a course for beginners, and it teaches you how to build an AI assistant (also called an "AI chatbot") from the very ground up, similar to ChatGPT prompt engineering. It welcomes students of all ages and professionals looking to upgrade their skill set, or anyone who is interested in AI but needs a starting point.Throughout the course, we will be working on an AI assistant called "Scopio," that can answer questions and guide users through Scopic's portfolio content.This is not just a theoretical course. Every step, every decision, and every line of code we work on will go into building this assistant.What You'll Learn:o Understanding AI: The basic concepts of AI and MLo Building AI Assistants: Learn how to develop an AI assistant ("AI chatbot") that understands and responds to user querieso Create AI Assistants: This course teaches you how to make an AI assistant who can understand user queries and reply properlyo Natural Language Processing: Dive deep into tokenization, embeddings, and the transformer architectureo Development Tools: Learn through experience with tools such as FastAPI for back-end development and OpenAI's API for AI capabilitieso Real-World Exercise: Build, test, and deploy your AI Assistant into the real worldCourse Features· 4 extensive modules: Get ready for theoretical and practical lessons on AI, ML, and LLMs· Hands-on project: Pass through a series of practical exercises to build an AI chatbot and refine as needed[EG1]· Real-world application: Work on developing a real-life AI assistant named "Scopio"· Expert guidance: Our instructor is ready to share insights and recommendations based on their comprehensive experience in AIWhy This CourseThis course stands out for its practical application and industry relevance. By focusing on the creation of a real-world AI chatbot, you'll gain skills that are highly sought after in today's tech-driven industries.The flexible, self-paced learning model and access to a supportive community ensure that you can learn at your own pace and seek help when needed.Completing this course will empower you to contribute to technological advancements, innovate in your field, and open new career opportunities in AI and tech industries.The course is:- Self-paced- FlexibleWith comprehensive modules, hands-on projects, expert guidance, and a rich resource library, you'll get the A to Z of building AI Assistants with LLMs.Knowledge Requirements:· Basic knowledge of programming is a plus (preferably in Python)· Familiarity with the fundamentals of computer science will be beneficial (algebra, probability, etc.)· No prior knowledge of AI or ML is required for the courseCourse Toolkit Requirements:· FastAPI for the backend of Python· HTML, CSS, and JS basics· An OpenAI API key· A text editor or IDE for a coding environment· Experience with using terminal or command promptThis course is for:· Aspiring AI professionals· Developers and software engineers· Students and educators· Anyone curious about AI and its applicationsWhat You'll Learn:· Understand the fundamentals of AI and machine learning· Get an introduction to AI assistants and designing them· Develop an AI assistant using natural language processing· Implement tokenization, embeddings, and transformer architectures· Use tools like FastAPI, OpenAI's API, and web technologies for AI integration· Gain hands-on experience with real-world AI applications· Navigate and utilize AI development tools and platforms.· Learn how to collect user feedback and improve the assistant.· Enhance your skills and open new career opportunities in AI and tech.
