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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-agentic-design-patterns/
课程评论:没有评论
课程名称:AI代理设计模式与Ollama & OpenAI指南 [新] 课程概述:通过构建三个生产就绪的代理系统,提升您的AI开发技能。本课程将介绍反思、工具使用、规划和多代理模式如何结合在一起,创造复杂的AI工作流程,利用Ollama和OpenAI技术。 您将构建的真实项目: 1. **研究论文分析工作流程** - 构建一个智能系统,分析学术论文 - 实现自动提取关键发现和洞察的代理 - 创建自动化文献综述系统 - 生成研究总结和注释 - 非常适合研究人员、学生和学术专业人士 2. **AI旅行代理系统** - 开发一个全面的旅行计划助手 - 创建处理航班和酒店推荐的代理 - 构建行程优化系统 - 实现预算管理和日程安排 - 理想用于旅行应用和预订系统 3. **自动化文章写作管道** - 构建一个复杂的内容创作系统 - 实现研究和事实核查的代理 - 创建风格感知的写作助手 - 开发内容优化工具 - 对于内容平台和营销团队至关重要 四种模式的实际应用: - **反思模式** - 研究:自我评审论文分析质量 - 旅行:基于反馈改善推荐 - 写作:内容质量评估与改进 - **工具使用模式** - 研究:与学术数据库和引用工具的集成 - 旅行:连接到预订API和价格比较工具 - 写作:SEO工具和内容优化平台 - **规划模式** - 研究:结构化的论文分析工作流程 - 旅行:智能行程创建 - 写作:内容结构和文章大纲生成 - **多代理模式** - 研究:针对不同论文部分的专业代理 - 旅行:协作预订和计划的代理 - 写作:研究、写作和编辑的代理团队 立即加入我们,学习如何通过实践和真实项目构建复杂的AI代理系统。将理论模式转化为实用的、生产就绪的应用程序。
Transform your AI development skills by building three production-ready agent systems. Learn how Reflection, Tool Use, Planning, and Multi-Agent patterns come together to create sophisticated AI workflows using Ollama and OpenAI technologies.Real-World Projects You'll Build1. Research Paper Analysis WorkflowBuild an intelligent system that analyzes academic papersImplement agents that extract key findings and insightsCreate automated literature review systemsGenerate research summaries and annotationsPerfect for researchers, students, and academic professionals2. AI Travel Agent SystemDevelop a comprehensive travel planning assistantCreate agents that handle flight and hotel recommendationsBuild itinerary optimization systemsImplement budget management and schedulingIdeal for travel applications and booking systems3. Automated Article Writing PipelineBuild a sophisticated content creation systemImplement research and fact-checking agentsCreate style-aware writing assistantsDevelop content optimization toolsEssential for content platforms and marketing teamsThe Four Patterns in ActionPattern Implementation Across ProjectsLearn how each pattern drives our real-world applications:Reflection PatternResearch: Self-reviewing paper analysis qualityTravel: Improving recommendations based on feedbackWriting: Content quality assessment and improvementTool Use PatternResearch: Integration with academic databases and citation toolsTravel: Connection to booking APIs and price comparison toolsWriting: SEO tools and content optimization platformsPlanning PatternResearch: Structured paper analysis workflowTravel: Intelligent itinerary creationWriting: Content structure and article outline generationMulti-Agent PatternResearch: Specialized agents for different paper sectionsTravel: Collaborative booking and planning agentsWriting: Research, writing, and editing agent teamsJoin now to learn how to build sophisticated AI agent systems through hands-on, real-world projects. Transform theoretical patterns into practical, production-ready applications.