|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/genai-langchain-for-javascript-developers/
课程评论：没有评论
课程名称：JavaScript开发者的生成式AI - LangChain与RAG 课程概述： 欢迎参加专为JavaScript开发者设计的生成式AI和LangChain课程！本课程旨在帮助那些希望在快速发展的生成式AI领域中提升职业发展的JavaScript专业人士。尽管AI和机器学习 traditionally主要由Python主导，但生成式AI为JavaScript开发者开辟了新的可能性，能够构建高质量的基于大型语言模型（LLM）的应用程序。 适合人群： 本课程面向具有JavaScript和Node.js经验的开发者和架构师，希望构建基于大型语言模型的应用程序。您将学习如何使用JavaScript和LangChain创建生成式AI应用程序，掌握诸如RAG（检索增强生成）、嵌入、向量数据库等核心概念。课程结束时，您将具备开发强大生成式AI应用程序的能力。 课程历程： 课程从环境设置开始，创建基本应用程序以探索关键框架。随后，我们将深入高级主题，通过构建具有检索增强生成特性和聊天记录的真实世界应用程序来进行学习。 主要主题： - 使用JavaScript/TypeScript的LangChain - 与AWS Bedrock、GPT和Anthropic等顶级供应商合作的LLM - 提示和提示模板 - 链接：包括遗留链和LCEL - LLM参数：温度、Top-p、Top-k - LangSmith - 嵌入与向量存储（如Pinecone） - RAG（检索增强生成） - 工具：网络爬虫、文档加载器、文本分割器 - 内存与聊天记录 在整个课程中，您将参与动手练习并构建实际项目，以巩固每个概念，确保在JavaScript上打下扎实的生成式AI基础。完成课程后，您将熟练使用LangChain开发多功能、高性能的LLM应用程序。 课程内容包含： 作为一种社区体验，您将获得永久访问权限，包括： - 完整课程代码的GitHub存储库 - 独家Discord社区支持与生成式AI主题讨论 - 无额外费用的免费更新和持续改进 免责声明： - 本课程并非针对初学者的课程；假设您具备软件工程经验及一定的JavaScript经验。 - 我们将使用VSCode IDE（虽然任何编辑器都可）。 部分LLM服务可能需要支付费用，但我们会尽量利用免费的选项。这里表达的观点和看法仅代表个人，并不代表其雇主的立场。
Welcome to the Generative AI and LangChain Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You'll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you'll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we'll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, GPT, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you'll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you'll be proficient in using LangChain to develop versatile, high-performance LLM applications.What's Included? This course is also a community experience. With lifetime access, you'll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and some experience in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we'll utilize free options whenever possible.The views and opinions expressed here are my own and do not represent those of my employer.
