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

Build AI Agents & RAG Apps with DeepSeek R1 vs OpenAI - Run on Ollama & Android, Complete Local Setup Guide

What you'll learn

• Deploy DeepSeek R1 locally using Ollama and configure it for optimal performance
• Compare DeepSeek R1's capabilities with OpenAI models (O1 and O3) through hands-on experiments
• Implement production-ready RAG systems using DeepSeek R1 for custom knowledge bases
• Design and develop AI agents using CrewAI framework with DeepSeek R1 as the foundation model
• Run DeepSeek R1 efficiently on Android devices for mobile AI applications
• Build a complete RAG chatbot system with local PDF processing capabilities
• Create multi-agent systems that can handle complex tasks and reasoning
• Optimize DeepSeek R1 implementations for production environments

Requirements

• Basic understanding of Python
• Access to Internet and a Laptop with 16GB RAM

Description

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.

Requirements:

• Basic Python programming knowledge
• Understanding of basic ML concepts
• Computer capable of running Python applications
• Android device (for mobile section)

By the end of this course, you'll be able to:

• Build production-ready AI applications using DeepSeek R1
• Create sophisticated agent systems for task automation
• Implement RAG systems for custom knowledge bases
• Deploy AI applications on both desktop and mobile platforms
• Optimize performance for various use cases

Whether you're looking to reduce dependency on cloud AI services or build cutting-edge applications with open-source technology, this course provides everything you need to master DeepSeek R1 and create powerful AI solutions.

Join thousands of developers who are already leveraging DeepSeek R1 to build the next generation of AI applications. Start your journey into the future of AI development today!

Who this course is for:

• Software developers wanting to build AI applications without cloud dependencies
• Machine learning engineers looking to leverage open-source LLMs
• Technical professionals seeking alternatives to OpenAI's models
• System architects designing AI-powered applications
• Technical Founders evaluating DeekSeek-R1 to work with their workflows