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DeepSeek AI R1 & Ollama Guide: Build Local AI Applications (Udemy.com)

Master Local AI Development: Deploy LLMs, Build Applications & Create AI Tools Using DeepSeek R1, Ollama & Python

Created by: Paulo Dichone

Last updated February 2025

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What you will learn

  • Deploy DeepSeek R1 locally using Ollama to build AI applications with complete privacy, control, and cost efficiency.
  • Master model variants (1.5B, 7B, full) and select optimal configurations based on hardware and use case needs.
  • Build apps from scratch: chat interfaces, code assistants, and productivity tools using Python.
  • Optimize AI application performance through resource management and scaling strategies for production use.

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.5 out of 5higher than 45% of them
  • Reviews115#968 of 1,183 by number of reviews
  • Length1.7 hoursshorter than 88% of them
  • Last updatedFebruary 2025earlier than 55% of them

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Course Description

Ready to harness the power of local AI development with DeepSeek R1 and Ollama?

In this comprehensive masterclass, you'll learn how to build sophisticated 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 wanting to build custom solutions, this course provides everything you need to succeed.

Why This Course?

✓ Learn to run AI models locally for complete privacy and control

✓ Save costs by avoiding expensive API calls and cloud services

✓ Build production-ready applications with open-source technologies

✓ Master the latest tools in AI development

✓ Hands-on projects and real-world applications


Course Highlights:

  • Complete setup guide for DeepSeek R1 with Ollama

  • Working with different model variants (1.5B, 7B models)

  • Performance optimization techniques

  • Building practical AI applications


What Makes This Course Different?

This isn't just another AI course – it's a comprehensive guide to building real-world AI applications using open-source tools. You'll learn not just the theory, but the practical implementation details that make a difference.


Who is this course for?

  • Software developers wanting to integrate AI into their applications

  • AI enthusiasts interested in local LLM deployment

  • Tech professionals looking to build custom AI solutions locally

  • Anyone interested in open-source AI development

Prerequisites:

  • Basic Python programming knowledge

  • Familiarity with command-line operations

  • Computer with minimum 16GB RAM (see course for full requirements)

  • No prior AI experience required

What You'll Build: Throughout this course, you'll create several practical applications, including:

  • Local AI development environment

  • Custom chat applications

  • Code assistance tools

  • AI-powered productivity applications


Don't miss this opportunity to master local AI development with DeepSeek R1 and Ollama.

With lifetime access to course updates, you'll stay current with the latest developments in AI technology.

Enroll now and start building powerful AI applications today!


Money-Back Guarantee This course comes with Udemy's 30-day money-back guarantee.

If you're not completely satisfied, you can request a full refund within 30 days of purchase.


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Instructor Details

Paulo Dichone

Hi, I’m Paulo – Your Guide to Mastering Development, Cloud, and AI Engineering

With a passion for empowering learners, I’ve had the privilege of teaching over 350,000 students across 175 countries. Whether you’re diving into Android, Java, Flutter, AWS Cloud, or venturing into the world of AI engineering, I’m here to help you unlock your full potential.


My Expertise

I bring extensive hands-on experience in:

    AI Engineering 

    Mobile App Development (Android & iOS)

    Cross-Platform Development (Flutter, Dart, and JavaFX)

    AWS Cloud Solutions


And now, I’m also focused on the AI engineering landscape, helping developers leverage the power of machine learning and automation in their projects.


My Mission

No matter where you are in your journey—whether you're just starting or looking to sharpen advanced skills—my courses are designed to make you an exceptional developer and AWS Cloud Practitioner, equipped to tackle real-world challenges. Beyond coding, I enjoy spending time with my growing family, playing the guitar and mandolin, and traveling whenever I get the chance.


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Reviews

4.5

115 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Paweł Ból on 10/2/2026

Very shallow, aimed at casual viewers definitly not experienced software engineers

By Rich Parker on 8/15/2025

Not overhyped... this is a course with a calm presenter, where you can see how to load up and use a local R1 copy. Very worthwhile to do.

By Izuchukwu Onyia on 3/21/2025

Perfect match for me! Excellent training style and material! On to the next!

By Charles Oduya on 3/15/2025

Excellent resource to get you started in the rapid moving space of AI and of course the first class delivery by Paulo. Highly recommend for busy engineers wanting to quickly get up to speed with what's happening in the AI world.

By Anonymized User on 2/24/2025

Your attitude is really great! I can feel that you have deep understanding of things you are talking - that's super combination with attitude.

By Chiến Nguyễn on 2/19/2025

extremly helpful

By Klaus Himmler on 2/9/2025

Als Übersicht ganz gut. Das z.T. "wilde" Scrollen jedoch ist verwirrend und die gezeigten Texte - Code bzw. Ein- und Ausgaben - sind deswegen kaum nachzu vollziehen. Schade.

By Nestor Carrillo on 2/6/2025

¡Muy buen curso práctico!

By Jorge Cardenas Grados on 2/4/2025

Muy buen curso y muy oportuno, sugiero que se anexen como recursos los archivos de python utilizados y la configuracion de ollama para usarlo localmente. Gracias

By Shinejo Xingxing Zhou on 4/10/2025

Showing all 10 reviews on CourseDuck

Read all 115 reviews on Udemy

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Overall Score : 90 / 100