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The only course you need to build a ChatGPT-like App in Python. Learn LLMs, Hugging Face + Prompt Engineering Hands On!

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

Description

Unlock the Power of AI Chatbots on Your Own Computer!

Are you intrigued by the potential of AI but concerned about privacy and data security? Dive into the world of local large language models (LLMs) with our hands-on crash course, designed to empower you with the skills to build your very own ChatGPT-like chatbot using Python. This course cuts through the complexity, offering a direct path to deploying your LLM securely on your own devices.  We set up the environment for you so you can head start in a minute or choose to use your own computer. No Installation Needed!

Why Learn From Me?

Hello, my name is Zoltan, your guide on this exciting journey. With years of experience in data engineering, machine learning, and software development, I’ve designed this course to bridge the gap between theoretical knowledge and practical skills. My expertise in leveraging these technologies ensures you learn from a seasoned professional. Join me to gain control over your AI applications, ensuring they’re both powerful and private.

Course Highlights

  • Rapid Learning Path: Zero to a working local LLM in just two hours.
  • Modern Technologies: You will use Hugging Face, Chainlit and top-of-the-line LLM models
  • Hands-On Learning: Engage in a bootcamp-style, practical coding environment from the start.
  • Clear Instructions: I’ll ensure you understand every step on your way to building a fully functional AI chatbot.

Why This Course Matters

In today’s digital age, AI and chatbots are revolutionizing how we interact with technology. However, the true potential is unlocked when these tools are customized and controlled locally. Whether you’re looking to enhance your personal projects, secure proprietary data, or simply curious about the inner workings of AI chatbots, this course provides valuable insights and skills. Big-name tech employers and innovative startups alike are searching for professionals who can navigate the complexities of AI while prioritizing privacy and security.

Who Should Enroll?


Get Instant Notification of New Courses on our Telegram channel.


This course is perfect for:

  • Developers seeking to integrate AI into their projects without compromising on privacy.
  • Hobbyists interested in AI and looking for a secure, hands-on approach to learning.
  • Professionals aiming to enhance their resume with cutting-edge skills.

Pre-requisites: A basic understanding of programming concepts is recommended to get the most out of this course.

Not For:

  • Those seeking a deep theoretical overview without hands-on practice.
  • Individuals not comfortable with basic coding.

Your Takeaway

By the end of this course, you’ll have a fully functional, locally-run AI chatbot, similar to ChatGPT, built by you. More importantly, you’ll have the knowledge and confidence to apply these skills in a variety of scenarios, ensuring your digital creations remain secure and private.

Why Wait? Enroll Now!

Embrace the future of AI with confidence. This course isn’t just about building a chatbot; it’s about unlocking a new realm of possibilities, secure in the knowledge that you’re in complete control. The course comes with a 30-day money-back guarantee, so Enroll today and take the first step toward becoming a local LLM expert!

English
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Content

Introduction and Environment Setup

Introduction
What will you learn?
Prerequisites and Requirements
Course Blueprint
DO NOT SKIP – How to take the most out of this course
BOOKMARK THESE – Course Resources
Setting up the Coding Environment
A Quiz on Codespaces

Getting a Local LLM to Work

Introduction to Huggingface
Finding the best the LLM for our use case
Further Resources on LLMs
Our Huggingface Model
Getting the LLM to Work – Completing Sentences
A Prompt Engineering Trick you could use in the Exercise
Speeding up our LLM – Streaming the LLM Response
The Local LLM Quiz

Adding Chat Capabilities to the LLM

Understanding Prompts for Chat and Instruction
Python Type Hints
Implementing the LLM Chat Prompt Logic
The LLM Chat Logic Quiz

Implementing Conversational Memory

Prompt Engineering for Achieving Conversational Memory

Building the Chat UI

Introduction to Chainlit and Chainlit Setup
Message Processing in Chainlit
Customizing Chainlit
Integrating our Model to the Chat UI
Real-time response streaming to the UI
Conversational Memory in Chainlit
The Chat UI Quiz

Capstone Exercise and Wrapping it Up

Test what you learned!
Congrats and Wrapping Up