LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)

Learn all the basics of LangChain by building LLM-powered Python applications with OpenAI, HuggingFace and Chroma!
4.41 (1935 reviews)
Udemy
platform
English
language
Data Science
category
instructor
LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)
7 404
students
1 hour
content
Sep 2023
last update
$16.99
regular price

What you will learn

Master the basics of LangChain and the fundamentals of Large Language Models (LLMs) from industry leaders such as OpenAI and HuggingFace.

Gain proficiency in creating, calling, and chaining prompts for effective and interactive applications.

Develop an understanding of conversational chatbots within LangChain, along with exploring memory functionalities for sophisticated responses.

Learn to apply LLM techniques to personal documents and projects, paving the way for real-world application of course knowledge.

Course Gallery

LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) – Screenshot 1
Screenshot 1LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)
LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) – Screenshot 2
Screenshot 2LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)
LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) – Screenshot 3
Screenshot 3LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)
LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps) – Screenshot 4
Screenshot 4LangChain 101 for Beginners (OpenAI / ChatGPT / LLMOps)

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Our Verdict

Dive into LangChain 101 for Beginners to grasp LangChain basics and LLM techniques through practical Python examples. Despite minor inconsistencies, its efficiency and real-world focus provide a valuable starting point for understanding this cutting-edge technology. With continuous updates, it holds the potential to become an indispensable resource in your AI toolkit.

What We Liked

  • Covers a broad range of LangChain basics and LLM techniques in just 1 hour, making it efficient and time-saving
  • Excellent practical coding examples and demos that open the door to understanding LangChain's capabilities
  • Instructor's expertise and clear teaching style ensure well-explained concepts and real-world applications

Potential Drawbacks

  • Some code samples and installation instructions are outdated, causing compatibility issues with newer library versions
  • Limited hands-on examples may not cover all the latest features or best practices in LangChain programming
  • Lack of depth in certain areas leaves some learners desiring more comprehensive coverage
5407838
udemy ID
26/06/2023
course created date
28/06/2023
course indexed date
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