Applied Local Large Language Models

Gain practical skills in Large Language Models (LLMs)

On this four-week course, you’ll use hands-on exercises to develop your practical skills in deploying and interacting with Large Language Models (LLMs).

You’ll create local environments for running LLMs, produce code for integrating LLMs via APIs, discover prompt engineering techniques, and more.

By the end, you’ll have the knowledge and skills that are highly sought after in the tech industry.

Learn how to use cutting-edge tools for local deployment of LLMs

The course focuses on the local deployment of LLMs, giving you the skills to use tools such as Hugging Face Candle and Mozilla LIamafile.

Using a combination of theoretical knowledge and practical implementation, you’ll gain the skills to use in real-world contexts.

Develop essential AI skills

Next, you’ll gain invaluable knowledge of the rapidly growing field of AI.

Using your skills in local LLM deployment, you’ll be able to develop privacy-preserving AI applications and customise language models for specific uses – essential for today’s AI-driven landscape.

Gain the skills to create powerful, customised AI applications

By the end of the course, you’ll be empowered with the knowledge and practical skills needed to effectively deploy, interact with, and leverage LLMs.

This will enable you to create powerful, customised AI applications. You’ll also finish the course with a portfolio of practical LLM projects.

This course is designed for software developers, data scientists, and AI enthusiasts with a basic understanding of machine learning concepts who want to gain practical skills in deploying and utilising Large Language Models (LLMs) locally.

It’s ideal for professionals in tech industries, researchers, and hobbyists who seek to leverage the power of LLMs without relying on cloud services.

The course caters to those interested in privacy-preserving AI applications, edge computing, and customising language models for specific use cases. While primarily aimed at those with some programming experience, it’s also suitable for tech-savvy individuals eager to explore cutting-edge AI technologies hands-on.

• Getting Started with Open Source Ecosystem
• About this Course
• Introduction to Open Source models and ecosystem
• Using Large Language Model for data augmentation
• Building real-world solutions
• Using Local LLMs from LLamafile to Whisper.cpp
• Key Components of Llamafile
• Running Llamafile
• Using Whisper.cpp
• Applied Projects
• Using Models in the browser
• Developing Portable CLI with Cosmopolitan
• Applied Projects - Test Your Knowledge
• Recap and Final Challenges
• Final Challenges
• Recap