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Master LangChain with No-Code tools - Flowise and LangFlow · LearnSpace
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Master LangChain with No-Code tools - Flowise and LangFlow

Курс от Packt
Начальный≈ 10.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to provide you with a comprehensive understanding of LangChain and its no-code tools, Flowise and LangFlow. You'll begin by learning the core functionalities of LangChain and its potential to transform AI applications. By the end of this course, you'll be able to harness the power of LangChain's innovative capabilities, combining it with user-friendly no-code tools to create sophisticated AI workflows. The course starts with an introduction to LangChain basics, laying the foundation for understanding its revolutionary features. From there, you will dive into Flowise and LangFlow, learning to install, configure, and use these tools for building intuitive AI applications. You'll explore a variety of use cases including prompt templates, multi-input handling, and building complex chains that allow for seamless AI workflows. Through hands-on demonstrations, you'll also master the process of creating advanced AI solutions using these tools. As you progress, you'll build practical skills in developing AI systems through different types of chains, such as simple LLM chains, conversation chains, and even API chains. You'll also delve into memory types and summarization use cases, helping you to create more dynamic and powerful AI applications. The course will also cover LangChain agents and their integration with platforms like Zapier, Flowise, and LangFlow, empowering you to automate tasks and expand your AI capabilities. This course is ideal for individuals interested in leveraging no-code tools to enhance AI-driven applications. No prior coding experience is required, making it perfect for beginners. Whether you're a business professional, entrepreneur, or AI enthusiast, you'll gain valuable insights and hands-on experience in building robust AI systems with LangChain and no-code platforms.

Навыки, которые вы освоите

Memory ManagementPrompt EngineeringSoftware InstallationNo-Code DevelopmentLLM ApplicationAgentic systemsAI OrchestrationPrompt Engineering ToolsAI WorkflowsRetrieval-Augmented GenerationApplication Programming Interface (API)

Программа курса

9 модулей · 49 учебных материалов

01LangChain Basics, and Why LangChain is Awesome!3 материалов

LangChain Basics, and Why LangChain is Awesome!

Welcome to the LangChain Masterclass!ВидеоFull Course ResourcesЧтениеIntroduction to LangChainВидео
02LangChain UI Tools: Flowise and LangFlow5 материалов

LangChain UI Tools: Flowise and LangFlow

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Master LangChain with No-Code tools - Flowise and LangFlow
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 10.7 ч

9 модулей

Язык: Английский

Субтитры: Казахский, Испанский

Часть программы вашего университета
Flowise Installation and BasicsВидео
Flowise Installation UpdatesВидео
LangFlow Installation and BasicsВидео
Implementing Flowise for LANGCHAIN: Installation and DeploymentDIALOGUE
LangChain UI Tools: Flowise and LangFlow - AssessmentЗадание
03Prompts and Prompt Templates7 материалов

Prompts and Prompt Templates

A Simple Chat GPT CloneВидеоPrompt TemplatesВидеоMulti-Input Prompt TemplatesВидеоChat Prompt TemplateВидеоFew Shot Prompt TemplatesВидеоUnderstanding Conversational AI Chains with LLMsDIALOGUEPrompts and Prompt Templates - AssessmentЗадание
04Chains8 материалов

Chains

Simple LLM ChainВидеоConversation ChainВидеоAPI ChainВидеоSequential ChainВидеоRouter ChainВидеоRetrieval ChainВидеоUnderstanding Chains in LangchainDIALOGUEChains - AssessmentЗадание
05Memory and Summarization Use Case4 материалов

Memory and Summarization Use Case

LangChain Memory TypesВидеоSummarization Use CaseВидеоExploring Memory Types in Conversational AIDIALOGUEMemory and Summarization Use Case - AssessmentЗадание
06The Fascinating World of LangChain Agents6 материалов

The Fascinating World of LangChain Agents

Agents IntroВидеоAgent Types and Usage in FlowiseВидеоAgent Tools and Toolkits in LangFlowВидеоZapier ToolВидеоExploring Lang Flow AgentsDIALOGUEThe Fascinating World of LangChain Agents - AssessmentЗадание
07Retrieval In-Depth7 материалов

Retrieval In-Depth

Exploring Retrieval Nodes in FlowiseВидеоText Files for RetrievalВидеоWeb Data, Github Repo Loader, and Qdrant Vector DBВидеоEmbeddingsВидеоRetrieval Nodes LangFlowВидеоDocument Loader Selection in LangChainDIALOGUERetrieval In-Depth - AssessmentЗадание
08Extras: Connecting Flowise and LangFlow to External App Builders and UIs6 материалов

Extras: Connecting Flowise and LangFlow to External App Builders and UIs

Intro To The SectionВидеоChat with your Documents with SiriВидеоConnecting Flowise to Bubble No-Code App BuilderВидеоConnecting LangFlow to Bubble No-Code App BuilderВидеоConnecting External Tools in a No-Code EnvironmentDIALOGUEExtras: Connecting Flowise and LangFlow to External App Builders and UIs - AssessmentЗадание
09Congrats!3 материалов

Congrats!

The Journey AheadВидеоFull Course AssessmentЗаданиеFull Course Practice AssessmentЗадание