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.