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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-agents-workflows-the-practical-guide/
课程评论：没有评论
课程名称：人工智能代理与工作流程 - 实用指南 课程概述：“人工智能代理”已成为流行词汇，然而它带来的AI驱动工作流程和代理系统却能解锁全新机会。从数据转换到内容生成、客户服务或自动化研究，只有你的想象力可以限制！本课程将指导你构建自己的AI驱动应用和代理系统。你将学习“人工智能代理”究竟是什么，它与“人工智能工作流程”的区别和关系，以及如何构建和使用两者。我们将回归理论，而不是单纯的流行词汇，提供充足的实例和具体的代码片段，确保你完全理解大型语言模型（LLMs）、常规代码和数据如何协同工作，使AI驱动的应用得以实现。 通过本课程，你将获得： - 对“人工智能工作流程”和“人工智能代理”的全面解释 - 大量实例（包括内容生成、客户支持、自动化研究） - 详细的解释，确保你无论使用何种编程语言都能应用所学知识 你将学习： - 从零开始构建AI工作流程和代理 - 通过API和SDK以编程方式使用OpenAI的模型 - 使用AI转换输入数据 - 构建AI驱动的自动化 - 与第三方服务（如Slack）进行互动 - 使用AI进行自我评估 - 管理AI代理的短期和长期记忆 - 构建多代理系统并在代理之间共享数据 - 在通用和专门代理之间分配工作 - 为你的工作流程添加人机协作（Human-in-the-Loop）步骤 - 以及更多内容！ 所有代码示例采用Python和OpenAI API/SDK编写，但你能够将所学知识应用于日常工作中使用的任何编程语言或模型。
"AI Agents" is a buzzword.That's a pity, because AI powered workflows and agentic systems can unlock an entire new world of opportunities.From data transformation to content generation, customer service or automated research. Your imagination is the limit!And this course will get you there: You'll be able to build your own AI-powered applications and agentic systems!This course will teach you what exactly "AI Agents" are, how they differ from (and still relate to) "AI Workflows" and how you can build and use both.With this course, I decided to take a step back from the buzzwords and instead give you all the crucial theory, plenty of examples and concrete code snippets to ensure that you fully understand how LLMs, "normal code" and data work together to bring AI-powered applications to life.With this course, you'll get:A thorough explanation of "AI Workflows" & "AI Agents"Lots of examples (incl. content generation, customer support, automated research)Detailed explanations that allow you to apply the knowledge no matter which programming language you're usingYou'll learn:How to build AI Workflows & Agents from scratchHow to use OpenAI's models (via API & SDK) programmaticallyHow to transform input data with AIHow to build AI-powered automationsHow to interact with third-party services like SlackHow use AI for self-evaluationHow to manage short- and long-term memory for your AI AgentsHow to build Multi-Agent systems and share data between agentsHow to split work between universal and specialized AgentsHow to add a Human-in-the-Loop step to your workflowsAnd so much more!All code examples in this course use Python and the OpenAI API / SDK but you'll be able to apply the knowledge to any programming language or model you're using in your day-to-day work.
