课程介绍：

随着大模型技术的快速发展，企业对智能体（Agent）的需求日益增长。Agent不仅能够执行任务，还能自主学习、优化决策，提升业务效率。本课程旨在帮助学员从零开始构建企业级智能体，掌握智能体的开发方法，并深入理解其在实际业务场景中的应用。

课程基于国内主流的AI Agent 开发平台「扣子」，通过企业高频场景案例（比如：投标分析、专业数据分析、模拟面试、知识管理、跨平台内容运营），学习零代码/低代码开发智能体全流程，掌握核心功能模块实操技能，输出可部署的企业级智能体解决方案。

Course Introduction：

With the rapid advancement of large language model (LLM) technologies, enterprises are witnessing a surging demand for intelligent agents (AI Agents). These systems not only execute tasks but also learn autonomously, optimize decision-making, and enhance operational efficiency. This course is designed to enable participants to build enterprise-grade Agents from scratch, master development methodologies, and gain in-depth insights into their practical applications across business scenarios.

Leveraging Coze, China's leading Agent development platform, the course employs real-world enterprise case studies (e.g., bid analysis, professional data analytics, knowledge management, cross-platform content operations, mock interviews) to teach the complete zero-code/low-code Agent development lifecycle. Participants will acquire hands-on skills in core functional modules and deliver deployable enterprise-grade Agent solutions.

课程概要：

入门篇：人人都需要 AI Agent

为什么要学习 AI Agent

· 初步认识Agent

· Agent让大模型更具实用价值

· Agent的核心价值体现

开发 Agent 需要哪些知识储备

· 深入理解Agent工作原理

· 构建业务场景的流程知识体系

· 编程技术与Agent开发的关系

工具篇：Agent 开发很简单

认识 Agent 开发平台

· Agent开发平台的演进之路

· 国内Agent开发平台全景扫描

· 扣子国内版详解

开发 Agent 的流程与策略

· Agent开发的标准化流程

· Agent开发的核心策略

Agent 开发的功能模块详解 —— 插件、工作流、图像流

· 插件功能解析

· 工作流构建与管理

· 图像流技术应用

Agent 开发的功能模块详解 —— 知识库、变量、数据库、卡片与其他技能项

· 知识库系统搭建

· 变量的应用与管理

· 数据库集成与应用

· 卡片功能介绍

· 其他技能项解析

实战篇：五大场景应用

专业分析类 Agent

· 业务场景深度解读

· 案例1：AI投标助手Agent

· 案例2：调研诊断Agent

角色扮演类 Agent

· 业务场景深度解读

· 案例1：英语口语陪练Agent

· 案例2：模拟面试官Agent

· 案例3：多领域应用专家Agent

知识问答类 Agent

· 业务场景深度解读

· 案例1：公司首席知识官Agent

· 案例2：全能助理问答Agent

内容营销和自媒体运营类 Agent

· 业务场景深度解读

· 案例1：每日AI简报Agent

· 案例2：抖音热点视频转小红书图文笔记Agent

效率办公类 Agent

· 业务场景深度解读

· 案例：文本纠错助手Agent

· 经验总结与拓展

Training Outline:

Introduction: Why Everyone Needs AI Agents

Lecture 1: The Imperative of Learning AI Agents

· Introduction to Agents

· Agents Enhancing Large Models' Practical Value

· Core Value of Agents

Lecture 2: Knowledge Foundations for Agent Development

· Deep Dive into Agent Working Principles

· Building Business Process Knowledge Systems

· Relationship Between Programming and Agent Development

Lecture 3: Understanding Agent Development Platforms

· Evolution of Agent Development Platforms

· Panoramic View of Domestic Agent Development Platforms

· Detailed Guide to Coze

Lecture 4: Processes and Strategies for Agent Development

· Standardized Agent Development Process

· Core Strategies for Agent Development

Lecture 5: Functional Modules of Agent Development I: Plugins, Workflows, Image Streams

· Analysis of Plugin Functions

· Workflow Construction and Management

· Application of Image Stream Technology

Lecture 6: Functional Modules of Agent Development II: Knowledge Bases, Variables, Databases, Cards & Other Skills

· Building Knowledge Base Systems

· Application and Management of Variables

· Database Integration and Application

· Introduction to Card Functions

· Analysis of Other Skills

Lecture 7: Developing Professional Analysis Agents

· In-Depth Interpretation of Business Scenarios

· Case 1: AI Bidding Assistant

· Case 2: Research & Diagnosis Agent

Lecture 8: Developing Role-Playing Agents

· In-Depth Interpretation of Business Scenarios

· Case 1: Spoken English Practice Agent

· Case 2: Mock Interviewer Agent

· Case 3: Multi-Domain Expert Agent

Lecture 9: Developing Knowledge Q&A Agents

· In-Depth Interpretation of Business Scenarios

· Case 1: Corporate Chief Knowledge Officer Agent

· Case 2: All-Around Assistant Q&A Agent

Lecture 10: Developing Content Marketing & Social Media Operation Agents

· In-Depth Interpretation of Business Scenarios

· Case 1: Daily AI Briefing Agent

· Case 2: TikTok (Douyin) Hot Video to rednote (Xiaohongshu) Graphic Note Agent

Lecture 11: Developing Productivity Office Agents

· In-Depth Interpretation of Business Scenarios

· Case: Text Error Correction Assistant Agent

· Experience Summary and Expansion