Udemy

AI Applications Made Easy: Dive into LangChain & GPT

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  • 191 名學生
  • 更新於 10/2023
  • 可獲發證書
4.3
(12 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 48 分鐘
教學語言
英語
授課導師
Jit Sinha
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.3
(12 個評分)
24次瀏覽

課程簡介

AI Applications Made Easy: Dive into LangChain & GPT

Unlocking the Power of LLMs with LangChain

AI Applications Made Easy: Dive into LangChain & GPT

Welcome to a transformative learning journey designed to demystify the art of building powerful AI applications using the LangChain framework and the groundbreaking GPT models by OpenAI.

Course Overview:
In this comprehensive course, participants will:

  1. Embark on an AI Odyssey: Begin with an insightful introduction to LangChain, uncovering its potential and importance in the realm of advanced AI solutions. Understand why LangChain stands out in the vast AI landscape and how it's shaping the future.

  2. Deconstruct the DNA of LangChain: Dive deep into the intricate components of LangChain. From the core models that drive its intelligence to the agents that act as its emissaries, understand the mechanisms of prompts, chains, indexes, and the dynamic memory system that allows for seamless learning and recall.

  3. Expand Horizons with External Tools: Integrate LangChain's prowess with the web framework Streamlit. This module offers a hands-on approach to building interactive web interfaces and showcases how LangChain can harmoniously blend with other software tools, multiplying its capabilities.

  4. Witness AI in Action: Transition from theory to practice by exploring live examples. Witness the end-to-end process of ideating, designing, and executing real-world applications. Additionally, students will be encouraged to lead projects, fostering a space for innovation and collaborative brainstorming.

By the end of this course, participants will not only possess a robust understanding of LangChain and GPT but also acquire the skills and confidence to design, develop, and deploy impressive AI applications tailored to diverse needs.

Whether you're an AI enthusiast, a budding developer, or a seasoned professional looking to enhance your toolkit, this course promises a blend of theory, practice, and innovation – making AI application development truly easy!

課程章節

  • 10 個章節
  • 46 堂課
  • 第 1 章 Introduction to LangChain
  • 第 2 章 Models
  • 第 3 章 Prompts
  • 第 4 章 Chains
  • 第 5 章 Memory
  • 第 6 章 Index
  • 第 7 章 Agents
  • 第 8 章 Streamlit
  • 第 9 章 Project 1: Question Answering Over Documents
  • 第 10 章 Project 2: Interactive chatbot with Streamlit and OpenAI

課程內容

  • Master Industry-Standard Tools and Frameworks: Learn the ins and outs of LangChain and get up to speed with Large Language Models (LLMs) from industry leaders
  • Unlock the Power of Prompts: Acquire the skills to create, call, and chain prompts effectively, enabling you to develop interactive and dynamic applications tha
  • Real-World Application: Apply what you've learned by using LLM techniques on personal documents and projects. This practical experience will arm you with the kn
  • Delve into Advanced Chatbot Development: Develop an in-depth understanding of how to build conversational chatbots using LangChain. Learn to utilize memory func
  • LangChain Components: Chains, Agents, DocumentLoader, TextSplitter, OutputParser, Memory
  • Vector Storage/Vector Databases (Pinecone, Chroma)
  • Basics of Streamlit which is an open-source Python library that makes it easy to create and share beautiful, custom web apps for AI


評價

  • J
    Jitesh Saha
    5.0

    this course is very useful for people looking to understand and apply LangChain in their AI projects. Although it assumes some prior knowledge in Python, the content and practical application in code makes it a worth watching

  • S
    Shyamalie Shubhra
    5.0

    The course gives a thorough introduction to LangChain, covers in depth knowledge on topics that were particularly interesting to me like prompt and memory management. A must watch for AI enthusiasts!

  • A
    Ahmed Atallah Alenazi
    3.0

    the course was good in information's and explaining but it didn't explain how the python code worked

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