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所在平台: Udemy |
课程主页: https://www.udemy.com/course/build-autonomous-ai-agents-from-scratch-with-python/
课程评论：没有评论
**课程名称：** 用 Python 从零开始构建自主 AI 代理 **课程概述：** 本课程专为希望从零开始深入了解自主 AI 代理世界的学习者设计。您将学习 AI 代理的基础知识，并重点介绍创新的 ReAct Prompting 技术，该技术使大型语言模型 (LLM) 能够思考并执行操作。课程将指导您完全从零开始构建基础到实际应用的 AI 代理，无需任何第三方工具。您将通过集成自定义函数来构建代理，使模型能够智能地响应用户查询，并克服访问实时数据、API 和外部函数等限制。无论您的目标是构建一个简单的 AI 代理还是一个实际应用的 AI 代理，本课程都提供了所有必需的代码和模板。 **课程内容：** 1. **AI 代理结构：** 理解 AI 代理的定义及其工作原理。 2. **理解 ReAct Prompt：** ReAct Prompt 是 AI 代理的核心，将展示其在 AI 代理工作流程中的实际应用。 3. **分步构建基础 AI 代理：** 从开发一个能够利用外部函数回答用户查询的基础 AI 代理开始。 4. **使用 SimplerLLM 简化 AI 代理：** 通过 SimplerLLM 库构建相同的 AI 代理，展示如何简化代码。 5. **构建 SEO 审计 AI 代理（实际案例）：** 在掌握 AI 代理的工作原理和构建方法后，将通过一个高级的实际案例——SEO 审计 AI 代理来巩固学习。 6. **获取所有代码和模板：** 提供所有代码和模板，帮助您节省时间和精力。 **课程要求：** 此中级课程要求学习者具备 Python 编程基础和提示工程核心概念的理解。适合那些熟悉 Python 编码基础并希望扩展在实际 AI 应用方面技能的学习者。
Welcome to "Build AI Agents From Scratch with Python," a course designed for individuals eager to dive into the world of autonomous AI agents from scratch.This course will guide you through the fundamentals of AI agents and introduce the innovative ReAct Prompting, which enables large language models (LLMs) to think and take actionable steps.You'll learn how to build basic to real-world AI agents totally from scratch without using any third parties.We will be building Agents by integrating custom functions that allow these models to respond intelligently to user queries and bypass limitations like accessing live data, APIs, and external functions.Whether you're aiming to create a simple AI Agent or a real-world AI Agent, this course provides all the necessary codes and templates to get you started!What's Inside The Course?1- AI Agents StructureYou will understand what an AI Agent is and how it works.2- Understand The ReAct PromptThe ReAct Prompt is the heart of the AI Agent. We are going to see how it works within the AI Agent workflow in action.3- Build a Basic AI Agent (Step-by-Step)We will start by developing a fundamental AI agent that can use external functions to answer user queries.4- Simplify AI Agents With SimplerLLMWe will build the same AI Agent with the Help of SimplerLLM Library and see how it simplifies our code.5- Build an SEO Auditor AI Agent (Real Example)After you understand How AI Agents work and how to build one, we will go with an Advanced Real-World Example and Build an SEO Auditor AI Agent.6- Get all the Codes & TemplatesSave time and effort with access to all my codes and templatesRequirementsThis intermediate-level course requires attendees to have a foundational understanding of Python programming and core concepts of prompt engineering.It is ideal for those who are comfortable with Python coding basics and want to expand their skills in practical AI applications.
