LangChain with Python Bootcamp

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About Course

Dive into the world of LangChain with this comprehensive free Udemy course! Learn how to leverage the power of language models with Python to build cutting-edge applications. LangChain simplifies working with language models, providing modular components, pre-built chains for specific tasks, and seamless integrations with data sources.

This course explores key LangChain modules including:

  • Model I/O: Seamless interaction with language models
  • Data connection: Connect with your application’s specific data sources
  • Chains: Create sequences of calls for specific tasks
  • Agents: Enable chains to choose tools based on instructions
  • Memory: Persist application state between runs

With LangChain, you’ll be able to build real-world applications using powerful Large Language Models like OpenAI’s GPT-4 API. Start building intelligent applications today! This course is completely free and available on Theetay, your source for top-rated courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more.

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What Will You Learn?

  • Learn to use LangChain for Model Inputs and Outputs to easily switch out LLMs.
  • Discover how to perform data connections with Vector Databases such as ChromaDB with your LLMs and Langchain.
  • Understand how to utilize LangChain memory to keep track of User and AI conversations.
  • Use LangChain to build out custom agents to accomplish tasks with LLMs.

Course Content

Models – Input and Outputs

  • A Message from the Professor
  • Introduction to Models – Inputs and Outputs
    04:27
  • Using LLMs with LangChain
    16:29
  • Chat Models with LangChain
    16:26
  • Prompt Templates
    17:50
  • Prompt and Models – Exercise
    02:20
  • Prompt and Models – Exercise Solution
    06:37
  • Few Shot Prompt Template
    10:28
  • Parsing Output – Part One
    14:30
  • Parsing Output – Part Two
    12:05
  • Parsing Output – Part Three
    08:10
  • Serialization -Saving and Loading Prompts
    02:30
  • Models – Inputs and Outputs – Project Exercise
    05:12
  • Models – Inputs and Outputs – Project Exercise Solution
    19:46

Data Connections

Chains

Memory

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