Descriptions
Running AI Locally: Tools, Assistants, and Coding on Your Own Hardware, Explore the process of running AI models locally to establish control over your solutions with regards to privacy, latency, and cost. Learn how to set up a local AI stack, including understanding models, runtimes, and integration with your hardware. Discover ways to deploy feature-rich AI assistants and tools that enhance your coding workflows, and evaluate practical scenarios for using offline language models on mobile devices. This course is designed with developers, software engineers, and IT professionals in mind, offering intermediate-level insights suitable for technical professionals eager to experiment with AI-powered tools. By applying the knowledge gained, you can effectively incorporate AI into personal or professional workflows without cloud dependencies, enhancing your understanding and skill in deploying systems tailored to specific needs.
What you’ll learn
- Set up a local AI stack, including understanding models, runtimes, and hardware integration.
- Deploy feature-rich AI assistants and tools to enhance coding workflows.
- Evaluate practical scenarios for using offline language models on mobile devices.
- Incorporate AI into personal or professional workflows without cloud dependencies.
Who this course is for
- Developers and software engineers looking to experiment with AI-powered tools.
- IT professionals seeking intermediate-level insights into local AI deployment.
- Technical professionals wanting to incorporate AI into workflows without cloud dependencies.
Specificatoin of Running AI Locally: Tools, Assistants, and Coding on Your Own Hardware
- Publisher : Linkedin
- Teacher : Ronnie Sheer
- Language : English
- Level : All Levels
- Duration : 31 minutes
Content of Running AI Locally: Tools, Assistants, and Coding on Your Own Hardware
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file(s): www.downloadly.ir
File size
61 MB