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Ollama & DeepSeek Reasoning Model Masterclass
Ollama & DeepSeek Reasoning Model Masterclass

Ollama & DeepSeek Reasoning Model Masterclass: Learn to Run DeepSeek R1 Locally and Build Smart AI Apps Without the Cloud

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Profile Icon Paulo Dichone
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$109.99
Video May 2025 1hr 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Paulo Dichone
Arrow right icon
$109.99
Video May 2025 1hr 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $12.99p/m
Video
$109.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Designed for developers seeking full control over AI model execution and data privacy
  • Focuses on real-world applications that showcase DeepSeek R1’s power in offline scenarios
  • Combines in-depth theory with live demonstrations to reinforce local AI development skills

Description

Begin your journey into private AI development by preparing your local environment and understanding the full scope of what you’ll build. The course starts with an introduction to DeepSeek R1 and Ollama, outlining prerequisites and setting up the development stack. You’ll gain a solid grasp of the course structure, learning objectives, and the tools you’ll need to run large language models on your own hardware. Next, you’ll dive into the core of DeepSeek R1, exploring its architecture, model variations, and the key distinctions between open and closed-source LLMs. Through guided installations, you'll set up LM Studio and Ollama, download the R1 distilled model, and interact with it via a local chat interface. Practical hands-on sessions walk you through using the Ollama API to embed DeepSeek directly into custom applications. In the final phase, you’ll build three end-to-end AI projects: a document analyzer, a code assistant, and a multi-agent system. Each use case is presented with a functional demo followed by a complete code walkthrough. By course completion, you’ll be able to design, deploy, and iterate intelligent, offline applications that prioritize privacy, performance, and full local control.

Who is this book for?

This course is ideal for AI engineers, software developers, and hobbyists who want to explore offline LLM deployment. A working knowledge of Python, REST APIs, and development environments is expected. Those seeking to build practical AI applications with complete control over data and performance will find immense value here.

What you will learn

  • Deploy DeepSeek R1 using Ollama and LM Studio locally
  • Integrate local LLM models via Ollama API in applications
  • Analyze DeepSeek architecture and model distinctions
  • Develop private AI chatbots and assistants from scratch
  • Build document processing tools using LLM capabilities
  • Create multi-agent AI systems for parallel task execution

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 19, 2025
Length: 1hr 43mins
Edition : 1st
Language : English
ISBN-13 : 9781806117758
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Product Details

Publication date : May 19, 2025
Length: 1hr 43mins
Edition : 1st
Language : English
ISBN-13 : 9781806117758
Category :
Languages :
Concepts :

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