The Local LLM Crash Course - Build an AI Chatbot in 2 hours!

The only course you need to build a ChatGPT-like App in Python. Learn LLMs, Prompts, Hugging Face & LangChain Hands On!
4.65 (336 reviews)
Udemy
platform
English
language
Data Science
category
instructor
The Local LLM Crash Course - Build an AI Chatbot in 2 hours!
3 841
students
1.5 hours
content
Apr 2025
last update
$69.99
regular price

What you will learn

Learn to use Large Language Models like Llama2 and Orca in Python locally

Understand Prompt Engineering techniques for making LLMs ready to Chat

Use Hugging Face models in Python

Teach an LLM to keep Conversational Memory using Prompt Engineering

Learn to display model responses real-time, ChatGPT-style

Integrate your LLM into Modern Python Chat Interfaces like Chainlit

Course Gallery

The Local LLM Crash Course - Build an AI Chatbot in 2 hours! – Screenshot 1
Screenshot 1The Local LLM Crash Course - Build an AI Chatbot in 2 hours!
The Local LLM Crash Course - Build an AI Chatbot in 2 hours! – Screenshot 2
Screenshot 2The Local LLM Crash Course - Build an AI Chatbot in 2 hours!
The Local LLM Crash Course - Build an AI Chatbot in 2 hours! – Screenshot 3
Screenshot 3The Local LLM Crash Course - Build an AI Chatbot in 2 hours!
The Local LLM Crash Course - Build an AI Chatbot in 2 hours! – Screenshot 4
Screenshot 4The Local LLM Crash Course - Build an AI Chatbot in 2 hours!

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Our Verdict

The Local LLM Crash Course is an efficient and hands-on introduction to building AI chatbots using Python. While it may lack depth in certain areas, its rapid learning path and modern technology stack make it a worthy starting point for beginners interested in local language models. Recommended for those looking for a practical first step towards understanding and implementing LLMs.

What We Liked

  • Gets you up and running with a local LLM chatbot in just 2 hours, perfect for busy learners.
  • Hands-on approach using popular tools like Hugging Face, Chainlit, and top-notch LLMs.
  • Clear instructions ideal for those with basic programming knowledge, no complex theory involved.
  • Incorporates LangChain for a more comprehensive understanding of local AI applications.

Potential Drawbacks

  • May feel too fast-paced for some learners, particularly those new to both AI and Python.
  • Lacks in-depth explanations on some concepts which could lead to confusion.
  • The course could benefit from more real-world examples illustrating the practical use of LLMs.
  • Limited focus on chat history tracking methods may hinder advanced application development.
5795922
udemy ID
31/01/2024
course created date
16/02/2024
course indexed date
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course submited by
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