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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-automation-build-llm-apps-ai-agents-with-n8n-apis/
课程评论：没有评论
课程名称：《AI自动化：使用n8n和API构建LLM应用和AI代理》 课程概述：AI自动化是未来发展的趋势！但它到底是如何运作的？AI如何在全新层面上优化商业流程，远超ChatGPT？答案就是：AI代理。本课程将带领您深入了解AI自动化的基本与高级概念，内容涵盖AI自动化、AI代理、LLM（大语言模型）、向量数据库、检索增强生成（RAG）及n8n等。您将学习如何创建强大的自动化解决方案，构建智能AI代理，并将其无缝集成到工作流程中，以提升商业和个人项目的效率。此外，您还将获得29个可下载的JSON工作流程，帮助您加速学习和实施。 课程内容包括： 1. 自动化、AI代理和LLM的基本概念 - 探索AI自动化的世界，学习n8n、Make、Zapier等工具。 - 了解API及其在自动化中的作用。 - 详细讲解各种LLM，如ChatGPT、Claude等。 - 学习OpenAI API的定价、GDPR合规性及项目设置。 2. n8n基础知识：安装与初步工作流程 - 学习n8n的基本操作，进行本地安装与网络版使用。 - 设定与Airtable、Google Sheets及Google Cloud的自动化。 3. 扩展AI自动化与LLM - 构建基于OpenAI API的电子邮件自动化。 - 实时情感分析与数据库存储，并集成开源LLM。 4. 将AI代理与RAG聊天机器人集成到工作流程 - 自动化客户沟通与数据处理，创建AI驱动的电子邮件代理。 5. 提升AI代理的提示工程 - 优化提示以获得更好的AI响应，避免错误，精准控制输出。 6. 扩展自动化的高级主题 - 自托管、实时集成与社交媒体自动化。 7. 调试与优化API集成 - 通过调试策略增强n8n工作流程的性能与错误处理。 8. 建立基于AI自动化的商业模型 - 将所学应用于售卖自动化服务、开发市场就绪的RAG机器人。 9. 政策、隐私与道德考量 - 保障AI代理的安全与GDPR合规。 课程结束后，您将深入理解AI自动化、n8n、LLM及RAG，能够开发、优化并部署强大的AI代理于商业应用中。立即注册，迈入AI自动化的未来！
AI Automation is the Future!But how does it really work? And how can AI optimize business processes-on a whole new level, far beyond ChatGPT? The answer: AI Agents.This course guides you through both essential and advanced concepts in automation using AI automation, AI agents, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n. You'll learn how to create powerful automations, build intelligent AI agents, and seamlessly integrate them into your workflows to enhance both business and personal projects.Additionally, you'll receive 29 downloadable JSON workflows to accelerate your learning and implementation.What You'll Learn in This Course:Fundamentals of Automation, AI Agents & LLMsDive into the world of AI automation:Introduction to automation, AI agents & essential tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise).Understanding APIs and their role in automation.LLMs explained: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more.OpenAI API: Pricing structure, GDPR-compliant usage & project setup.Function calling with LLMs: How AI agents use tools like calendars, emails, web search, webhooks, Airtable, Google Sheets, and more.RAG (Retrieval-Augmented Generation): Vector databases & embeddings explained.n8n Basics: Installation & First WorkflowsMaster the fundamentals of n8n, the key to intelligent automation:Local installation with Node.js & using the web version without installation.Importing, exporting, and selling workflows.Setting up automations with Airtable, Google Sheets & Google Cloud.Using simple JavaScript variables in automation.Expanding AI Automation with LLMsBuild advanced AI-powered automations:Email automation with OpenAI API, Gmail, and Airtable.Real-time sentiment analysis & database storage.Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation.Using any LLM API in n8n (Deepseek API, Groq API & more).Integrating AI Agents & RAG Chatbots into WorkflowsAutomate customer communication & data processing:RAG Agent: Automatically updating vector databases with Google Drive.RAG Chatbot using AI agent nodes, embeddings & retrieval techniques.AI-powered email agents for automated summaries & responses.Prompt Engineering for AI AgentsOptimize your prompts for better AI responses:Principles & best practices for effective prompt engineering.Avoiding errors & precisely controlling AI outputs.Hosting, Social Media & Advanced AutomationsExpand your automations with self-hosting & real-time integrations:n8n self-hosting with Render & other options.Using AI agents in WhatsApp & Telegram.Social media automation with sub-workflows, webhooks & web scraping.Debugging & Optimizing API IntegrationsEnhance performance & error handling in n8n workflows:Debugging strategies for error-free n8n automations.Connecting Flowise AI agents with webhooks & Google Sheets.Extending n8n with Flowise & JavaScript custom tools.Building a Business with AI Automation & AI AgentsLeverage your skills to create a profitable AI automation business:Selling automations & AI agents as services.Developing market-ready RAG bots for lead generation & website integration.Marketing strategies for successfully selling AI solutions.Optimizing RAG Chatbots: Data Quality & ChunkingImprove AI responses with optimized data strategies:Chunk size, overlap & data quality for better chatbot performance.Using Firecrawl for web data extraction in Markdown format.LlamaIndex & LlamaParse for data preprocessing in Google Colab.Security, Privacy & Ethical ConsiderationsProtect your AI agents & ensure GDPR compliance:Understanding & preventing jailbreaks, prompt injections & data poisoning.Ensuring copyright & data protection for AI-generated content.Key legal frameworks: EU AI Act & moreAdditionally, you'll gain access to 29 ready-to-use JSON workflows, available for download to streamline your learning experience and accelerate implementation.Become an Expert in AI Agents & Automation!After this course, you will have a deep understanding of AI automation, n8n, LLMs & RAG and be able to develop, optimize, and deploy powerful AI agents for business applications.Sign up now and step into the future of AI automation.
