Packt
Master LangChain with No-Code tools - Flowise and LangFlow

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Packt

Master LangChain with No-Code tools - Flowise and LangFlow

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
初级 等级

推荐体验

8 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级

推荐体验

8 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Understand LangChain fundamentals and why it's transforming AI workflows.

  • Learn how to install and use Flowise and LangFlow for no-code AI development.

  • Develop advanced chains, such as LLM, conversation, API, and retrieval chains.

  • Integrate LangChain with tools like Zapier to automate tasks and workflows.

要了解的详细信息

可分享的证书

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作业

9 项作业

授课语言:英语(English)

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有9个模块

In this module, we will introduce you to LangChain, providing a foundational understanding of its core functionalities. You will discover why LangChain is revolutionizing AI development and how it stands out in the AI ecosystem.

涵盖的内容

2个视频1篇阅读材料

In this module, we will guide you through the installation and setup of Flowise and LangFlow. These powerful UI tools will empower you to leverage LangChain without writing extensive code, simplifying your AI project development.

涵盖的内容

3个视频1个作业

In this module, we will focus on creating and optimizing prompts within LangChain. You will learn to design custom templates, from basic chatbots to complex multi-input scenarios, enhancing the functionality of your AI systems.

涵盖的内容

5个视频1个作业

In this module, we will introduce you to the concept of chains in LangChain. You will learn to build and implement various types of chains, each enhancing the flow and efficiency of your AI processes.

涵盖的内容

6个视频1个作业

In this module, we will explore LangChain’s memory management and summarization capabilities. You’ll learn how to retain key information within your workflows and efficiently summarize large datasets.

涵盖的内容

2个视频1个作业

In this module, we will dive into LangChain agents, showing you how to automate complex processes. You’ll learn how to use agents with Flowise, LangFlow, and Zapier to enhance your AI applications.

涵盖的内容

4个视频1个作业

In this module, we will explore advanced retrieval techniques in LangChain, including the use of retrieval nodes and integrations with external data sources. This will enable you to build dynamic systems that leverage vast amounts of external information.

涵盖的内容

5个视频1个作业

In this module, we will show you how to integrate LangChain with external app builders and UIs. You’ll learn to connect to tools like Bubble and Siri to create seamless, no-code applications powered by LangChain.

涵盖的内容

4个视频1个作业

In this module, we will congratulate you on completing the LangChain Masterclass. We’ll also provide insights into the next steps for continuing your LangChain journey, exploring more advanced techniques and opportunities.

涵盖的内容

1个视频2个作业

位教师

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