Getting Started With Local AI
Build and configure local agentic environments. Learn the skills needed to analyze, set up, and run local AI models along with how to optimize these models for your hardware to create fast and inexpensive AI-powered tools.
Engineer, Educator, & Creator
Web Dev Simplified is all about teaching web development skills and techniques in an efficient and practical manner. If you are just getting started in web development Web Dev Simplified has all the tools you need to learn the newest and most popular technologies to convert you from a no stack to full stack developer. Web Dev Simplified also deep dives into advanced topics using the latest best practices for you seasoned web developers.
I started Web Dev Simplified in order to share my passion for web development, and do what I truly love. Teach and inspire new web developers. I have been in love with full stack web development since 2015 when I did my first internship as a web developer. Ever since then I have pursued my passion, learning everything there is to know about web development. Over the years I have taught many colleagues and friends the joys of web development, and cannot wait to teach you.
Build the Ultimate Local AI Workflow
This workshop teaches you how to build a practical local AI workflow with LM Studio. You will begin with a clear mental model for how models and LLMs work, then learn how to evaluate model families, formats, quantization levels, and hardware requirements. From there, you will download and run a local model, configure it for reliable output, and serve it through an OpenAI-compatible API. The workshop closes by connecting local models to applications and developer tools, safely accessing them remotely, and diagnosing the performance, memory, output-quality, and privacy that matter in production.
What You Will Master
- Understand how LLMs work, including tokens, context windows, inference, and the hardware that runs them
- Choose the right local model, format, and quantization for your task and available hardware
- Download, configure, and serve models with LM Studio through an OpenAI-compatible local API
- Integrate local models into applications and developer tools while handling performance, privacy, and security tradeoffs
Prerequisites
- Basic familiarity with agentic AI coding
- Preferably a computer with decent hardware for running AI models (M series Mac, or PC with dedicated GPU)
Who is this for?
This workshop is for developers who want to run and use AI models locally. It is designed for developers of any skill level who want a to start using local AI models in the quickest and easiest way possible.
Replay coming soon.
Build a Practical Local AI Workflow
Build and configure local agentic environments. Learn the skills needed to analyze, set up, and run local AI models along with how to optimize these models for your hardware to create fast and inexpensive AI-powered tools.
Warning: High intensity learning environment.
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A Full Day of Mastery.
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