中This LangChain for Generative AI course equips you with the skills to build and deploy reasoning-driven applications using large language models. Begin with the foundations—understand the background, key concepts, and architecture of the LangChain framework, including components like memory, chains, prompts, and text embedding models. Progress to hands-on application—learn how to design and integrate generative workflows using LangChain, explore system requirements and privacy features, and build real-world pipelines with models like Hugging Face’s Flan T5 XXL. Discover industrial use cases from platforms like Beautiful.ai and Bardeen.ai.
LangChain and Workflow Design Course
您将学到什么
Understand LangChain architecture and its core components like chains, memory, and prompts
Build and deploy GenAI workflows using LangChain and advanced LLMs
Integrate LangChain with models like Hugging Face’s Flan T5 XXL
Apply LangChain to real-world use cases with a focus on scalability and security
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July 2025
作业
7 项作业
授课语言：英语（English）
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本课程是 LLM Application Engineering and Development Certification 专项课程 专项课程的一部分
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该课程共有2个模块
Explore the foundations of LangChain in this module designed for developers building with large language models. Learn the background, key concepts, and supported programming languages. Understand the architecture of the LangChain framework, including components like memory, chains, text embedding models, and prompts, all designed for reasoning-driven GenAI applications.
涵盖的内容
10个视频1篇阅读材料3个作业
Learn to apply LangChain for building powerful Generative AI workflows in this hands-on module. Explore system requirements, core features, and security practices of LangChain. Understand how to design and integrate generative workflows into existing systems. Gain practical experience with a demo using Hugging Face’s Flan T5 XXL model, and discover real-world applications like Beautiful.ai and Bardeen.ai.
涵盖的内容
10个视频4个作业
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常见问题
Top LangChain courses cover its architecture, components like chains and memory, and practical integration with LLMs like OpenAI and Hugging Face. Look for hands-on content that includes real-world demos and workflow design.
LangChain is used to build applications powered by large language models. It helps developers create reasoning-driven GenAI workflows by chaining together prompts, models, tools, and memory components.
Beginners should start by understanding LLM basics and Python. Then, follow a structured LangChain course that introduces its architecture, components, and step-by-step implementation with small GenAI projects.
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