تسلط بر هوش مصنوعی لوکال : راه‌اندازی و اجرای مدل‌های شخصی

عنوان دوره : Master.dev – Getting Started With Local AI

سطح : پیشرفته

زمان کل دوره : 4 ساعت و 55 دقیقه

تعداد فايل ها : 5

سال آموزش : 2026

فایل تمرینی : ندارد

مربی دوره : Web Dev Simplified

نرم افزار : –

زیرنویس انگلیسی : ندارد

Master.dev – Getting Started With Local AI

Getting Started With Local AI
August 18 to 19, 2026 – 6:00 pm to 1:00 am Iran Standard Time

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.
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Getting Started With Local AI
Web Dev Simplified
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Meet Your Instructor
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.
[Youtube] 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.