DeepSeek AI R1 & Ollama Guide: Build Local AI Applications by Paulo Dichone

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What You’ll Learn

• Run DeepSeek R1 locally with Ollama to create AI-powered apps while keeping privacy, control, and budget efficiency.
• Gain expertise in different model sizes (1.5B, 7B, full) and learn how to choose the right setup for your hardware and project needs.
• Develop applications from the ground up: chat tools, coding assistants, and productivity apps with Python.
• Enhance performance of AI apps through smart resource allocation and scaling for production environments.

Course content

7 sections • 23 lectures • 1h 43m total length

Introduction 4 lectures 8min

• Introduction & What the Course is About
  01:36
• WATCH THIS: What You’ll Build in this Course
  03:57
• Course Prerequisites
  00:41
• Course Structure and Development Environment Setup
  02:03

Download Code and Resources 1 lecture 1min

• Source code
  00:02

DeepSeek R1 Fundamentals 5 lectures 22min

• DeepSeek R1 Deep Dive – Capabilities and What it Is
  04:34
• DeepSeek Foundation Core Architecture
  05:57
• DeepSeek Model Variations
  04:25
• Open vs. Closed Source LLMs – Overview
  06:13
• DeepSeek Foundations – Summary
  01:12

DeepSeek R1 and Ollama – Deep Dive 4 lectures 21min

• Introduction to DeepSeek R1 and Hardware Requirements
  02:24
• DeepSeek Chatbox – Hands-on
  05:22
• Installing LM Studio and Installing DeepSeek R1 Distilled Model
  04:50
• Installing Ollama and Downloading R1 Distilled Model & Chatting with It
  08:00

DeepSeek R1 Local Development 2 lectures 9min

• Development and Integration Locally – Overview
  01:42
• Using Ollama Local API Endpoint to Run DeepSeek R1 Model in Code – Hands-on
  07:32

Hands-on – Building Al Applications with R1 – Building Use-cases 6 lectures 37min

• Document Analyzer – Introduction Demo
  03:50
• Hands-on Document Analyzer Code Walkthrough
  09:56
• Code Assistant – Demo Overview
  03:20
• Code Assistant Code Walkthrough
  08:06
• AI Multi-Assistant Demo
  05:08
• AI Multi-Assistant Code Walkthrough
  06:40

Final Thoughts and Wrap up 1 lecture 6min

• Final Thoughts and Next Steps
  06:17

Requirements

• Basics of AI, LLM, ML and Python

Description

Want to unlock the potential of local AI development using DeepSeek R1 and Ollama?

This hands-on masterclass shows you how to build advanced AI applications without relying on external servers, ensuring full control and data privacy.

Perfect for developers and AI enthusiasts, the course gives you practical knowledge and projects to build customized, production-ready AI solutions.

Why Enroll?

✓ Run LLMs locally for privacy and independence

✓ Avoid costly APIs and cloud fees

✓ Build real-world, deployable AI apps with open-source tech

✓ Learn cutting-edge AI tools

✓ Gain hands-on experience with real projects

Course Highlights

• Complete setup tutorials for DeepSeek R1 with Ollama
• Working with different R1 model versions (1.5B, 7B, etc.)
• Methods for boosting performance
• Step-by-step guidance on building practical AI applications

What Sets This Course Apart?

This isn’t just theory—it’s a real-world playbook for building AI apps with open-source solutions. You’ll see implementation details that truly matter when deploying locally.

Who Should Join?

• Developers integrating AI into applications

• AI enthusiasts exploring local LLM deployment

• Professionals creating custom AI solutions

• Anyone passionate about open-source AI development

Prerequisites

• Basic Python knowledge

• Familiarity with the command line

• Computer with minimum 16GB RAM (see course for exact specs)

• No prior AI background required

What You’ll Build

• Local AI workspace

• Custom chat applications

• AI-based code assistance tools

• Productivity-focused AI solutions

About the Instructor

Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Paulo has taught over 280,000 students across 175+ countries. With deep expertise in Android, Flutter, AWS, and AI engineering, he’s dedicated to helping developers succeed.

Expertise

• Mobile Development (Android & iOS)
• Cross-Platform Apps (Flutter, Dart, JavaFX)
• AWS Cloud Solutions
• AI Engineering & Automation

Teaching Mission

Whether you’re a beginner or advanced developer, Paulo’s courses help you gain real-world, job-ready skills. Outside teaching, he enjoys family life, music, and travel.

Other Courses Include:

• Android Development Masterclass (Beginner to Pro)
• Intermediate Android Topics (WorkManager, ROOM, APIs)
• Flutter & Dart for App Development
• AngularDart for Dynamic Web Apps
• TornadoFX with Kotlin
• AWS Cloud Courses: EC2, ECS, EKS, Lambda, AppSync
• Java Masterclass & Design Patterns

Looking Ahead: AI Engineering

Future courses will focus on integrating AI into apps and cloud systems, preparing developers for the next era of software engineering.