DIY Gen AI: Running LLMs locally with Ollama, Hugging Face, and LM Studio

Course Format and Delivery

Delivery Method: LiveOnline
Schedule: Full day

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs) by hosting them on your own system.

Hugging Face is a community hub focused on creating and sharing AI models. It provides many free and pre-trained models as well as datasets and tools to use with them.

Ollama is a command line tool for downloading, exploring, and using LLMs on your local system.

In this hands-on workshop, we'll cover the basics of getting up and running with LM Studio, Ollama and give you hands-on labs where you can use them and Hugging Face to find and load and run LLMs, interact with it via Chat and Python code and more!

Brent Laster

Facilitator

Brent Laster is a global trainer, author, speaker, and founder/president of Tech Skills Transformations LLC. He helps enterprise teams adopt modern software practices in AI engineering, AI-assisted development, DevOps, automation, and secure software delivery. He is the author of Learning GitHub Copilot, Learning GitHub Actions, Professional Git, and Jenkins 2: Up and Running, as well as multiple online and live training programs for companies such as O'Reilly. In addition to AI expertise, Brent brings more than 25 years of experience in software development, management and technical leadership, DevOps, release engineering, and open-source technologies. He regularly presents and conducts workshops at industry conferences and for private clients.

Course Format and Delivery

About this course

Facilitated By

Brent Laster

Facilitator

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