DeepSeek R1: Build AI Agents & RAG Apps on Your Own Machine

About this course

Curious about running powerful AI models on your own machine? DeepSeek R1, the revolutionary open-source model that's challenging OpenAI and Claude, has changed what's possible with local AI. In this hands-on course, you'll learn why this $6M model is making waves in the AI community and how to harness its power for your own projects.

Why This Course?

Understand why DeepSeek R1 is disrupting the AI industry

Get hands-on experience running a powerful LLM locally

Build practical applications without cloud dependencies

Learn through actual coding, not just theory

What Sets This Course Apart: Instead of overwhelming you with complex theory, we focus on practical implementation. You'll start with basic setup and progressively build more sophisticated applications, from simple chat interfaces to advanced RAG systems.

Why DeepSeek R1? In a landscape dominated by expensive cloud-based solutions like OpenAI's models, DeepSeek R1 emerges as a game-changing alternative. Learn how this model compares to OpenAI O1 and O3, and discover why it's becoming the go-to choice for developers worldwide.

What You'll Learn:

Section 1: Introduction

Course overview and learning path

Setting up your development environment

Understanding the AI landscape in 2025Section 2: What is DeepSeek R1?

Deep dive into DeepSeek R1's architecture

Comparison with OpenAI models

Hands-on exploration of the UI and APIReal-world applications and use cases

Section 3: Run DeepSeek R1 LocallyComplete Ollama setup guide

Quick-start implementation (under 2 minutes)Performance optimization techniques

Troubleshooting common issues

Section 4: Build Agents with DeepSeek R1Introduction to AI agents

CrewAI framework integration</

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