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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-agents-automation-business-with-langchain-llm-apps/
课程评论：没有评论
课程名称：AI-代理：通过LangChain与LLM应用实现自动化与业务 课程概述：AI代理是当今热门话题，但对其了解和使用的人却不多。本课程《AI-代理：通过LangChain应用实现自动化与业务》将帮助您掌握AI代理的基本和高级概念、架构及其实际应用，充分发挥其在流程自动化和个性化解决方案销售中的潜力。该课程非常适合开发者、数据科学家、AI爱好者及所有希望在AI代理和大语言模型（LLM）技术前沿的人士。 学习内容包括： 1. AI代理与LLM的全面知识：介绍Autogen、LangChain、LangGraph、LangFlow、CrewAI、BabyAGI等工具及其相关的LLM（如GPT-4、Claude、Gemini、Llama等）。 2. 工具与技术：使用LangChain、LangGraph等工具创建AI代理，理解功能调用和向量数据库。 3. AI代理的创建与部署：详细步骤指导安装和使用Flowise，开发各种任务的AI代理，如创意写作和社交媒体策略。 4. 高级技术：训练LLM以处理自有数据，使用数据准备和集成工具（如LlamaIndex和LlamaParse）。 5. 业务环境中的AI代理：案例研究、集成方法、引领潜在客户和市场营销策略。 6. 创建个人AI助手：使用Python开发具有类Microsoft Copilot功能的本地AI代理，同时学习VS Code和Git的使用。 7. 开源LLM与AI代理：优缺点分析，以及如何使用和安装开源LLM（如Llama 3）。 8. AI代理的安全、隐私和版权问题：处理数据生成中的安全和隐私问题以及版权事项。 9. 实际应用及API集成：使用OpenAI API、Google API等开发AI应用，与Whisper、GPT-4等进行集成。 结束时，您将对AI代理与LLM有全面的理解，并具备多种应用所需的技能。如果您准备在这一技术革命的前沿，欢迎报名参加，共同探讨AI代理与大语言模型的无限潜力。
AI agents are on everyone's lips, but few know what they are and even fewer know how to use them.Tools like CrewAI, Autogen, BabyAGI, LangChain, LangGraph, LangFlow etc., sound more complex than they are.Are you ready to master the intricacies of AI agents and leverage their full potential for process automation and selling tailored solutions?Then this course is for you!Dive into "AI Agents: Automation & Business through LangChain Apps"-where you will explore the basic and advanced concepts of AI agents and LLMs, their architectures, and practical applications. Transform your understanding and skills to lead in the AI revolution.This course is perfect for developers, data scientists, AI enthusiasts, and anyone wanting to be at the forefront of AI agent and LLM technology. Whether you want to create AI agents, perfect their automation, or sell tailored solutions, this course provides you with the comprehensive knowledge and practical skills you need.What to expect from this course:Comprehensive knowledge of AI agents and LLMs:Basics of AI Agents and LLMs: Introduction to AI agents like Autogen, LangChain, LangGraph, LangFlow, CrewAI, BabyAGI & their LLMs (GPT-4, Claude, Gemini, Llama & more).Tools and Techniques: Using LangChain, LangGraph, and other tools to create AI agents.Function Calling and Vector Databases: Understanding function calling and using vector databases and embedding models.Creating and deploying AI agents:Installation and Use of Flowise with Node: Step-by-step guides for installing and using Flowise.Creating and Deploying AI Agents for Various Tasks: Developing creative writers, social media strategists, and function-calling agents.Advanced techniques for AI agents:RAG AI Agents: Training LLMs on your own data and automatic local text storage.Data Preparation and Integration: Using LlamaIndex, LlamaParse, and other tools for data preparation and integration in Flowise.API Connection and Automation: Connecting APIs and automating with JavaScript, Python, and Make.AI agents in a business environment:Use Cases and Integration: Hosting and integrating AI agents into websites or as standalone apps.Lead Generation and Marketing: Strategies for generating leads and selling AI agents.Creating your own AI assistant:Python Code and Installation: Developing a local Microsoft Copilot-like AI agent with Vision and Python.Using VS Code and Git: Step-by-step guides for installing and using VS Code and Git.AI agents with open-source LLMs:Pros and Cons of Open-Source LLMs: Using and installing open-source LLMs like Llama 3.Installing and Using Ollama with Llama 3.1 and Other Open-Source LLMs.Creating Open-Source AI Agents: Developing simple and advanced open-source AI agents.Issues, security, and copyrights in AI agents:Security Measures and Privacy: Understanding jailbreaks, prompt injections, and data poisoning.Copyrights and Privacy: Handling copyrights and privacy for generated AI agent data.Practical applications and API integration:API Basics and Integration Skills: Using the OpenAI API, Google API, and more for various applications.Developing AI Apps: Creating apps with Whisper, GPT-4, and more.Innovative tools and agents:Overview of Microsoft Autogen and CrewAI.Implementing Flowise: Integrating Flowise with function calls and open-source LLMs as a chatbot.Harness the power of AI agents and LLM technology to develop solutions and expand your understanding of their applications.At the end of "AI Agents: Automation & Business through LangChain Apps," you will have a holistic understanding of AI agents and LLMs and the skills to use them for various purposes. If you are ready to be at the forefront of this technological revolution, this course is for you.Enroll today and become an expert in AI agents and large language models.
