Description

DeepSeek R1 & Ollama Guide: Build Local AI Applications is a course on building local AI applications using the DeepSeek R1 and Ollama frameworks, published by Udemy Online Academy. The course covers everything from setting up the environment and necessary dependencies to building advanced applications that use machine learning and AI algorithms. The program focuses on implementing various AI tools, understanding integration with local systems, and optimizing models for real-time performance. Individuals will also learn how to deploy AI applications locally and manage workflows effectively for a seamless user experience.

In this comprehensive masterclass, you will learn how to build advanced AI applications locally using DeepSeek R1, one of the most powerful open source language models available today. Whether you’re a developer looking to integrate AI into your applications or an AI enthusiast looking to build custom solutions, this course provides everything you need to succeed.

What you will learn in DeepSeek R1 & Ollama Guide: Build Local AI Applications:

• Run DeepSeek R1 locally using Ollama to build AI applications with complete privacy, control, and cost efficiency
• Choose core model types (1.5B, 7B, full) and optimal settings based on hardware and usage needs
• Build applications from scratch: chat interfaces, code assistants, and productivity tools using Python
• Optimize AI application performance through resource management and scaling strategies for production use
• And…

Course specifications

Publisher: Udemy
Instructors: Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
Language: English
Level: Introductory to Advanced
Number of Lessons: 23
Duration: 1 hours and 43 minutes

Course topics

DeepSeek R1 & Ollama Guide: Build Local AI Applications Prerequisites

Basics of AI, LLM, ML and Python

Pictures

DeepSeek R1 & Ollama Guide: Build Local AI Applications introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download – 909 MB

File password (s): www.downloadly.ir

Size

909 MB