Free Download Getting Started With Local AI
Released 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lessons ( 4h 55m ) | Size: 1.1 GB
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.
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
The Senior Engineer Toolkit
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
, 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.
Homepage
Code:
https://master.dev/workshops/local-ai/
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