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
4.49 (134 reviews)
997
students
2.5 hours
content
Mar 2025
last update
$79.99
regular price
What you will 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
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Our Verdict
The DeepSeek R1: Build AI Agents & RAG Apps on Your Own Machine course breaks down complex AI topics into simple, actionable steps for learners. With an emphasis on practical implementation rather than theory, it's a valuable resource in harnessing the power of local AI models without cloud dependencies. However, some foundational ML knowledge is assumed, and beginner-friendly explanations could be expanded upon to cater to absolute beginners. It adeptly covers DeepSeek R1's comparison with OpenAI, showcasing its disruptive impact in the industry.
What We Liked
- Provides hands-on experience in running a powerful Language Learning Model (LLM) locally, distinguishing it from theory-heavy courses
- Takes a practical implementation approach, enabling learners to progressively build sophisticated applications like chat interfaces and advanced RAG systems
- Compares DeepSeek R1 with OpenAI O1 and O3, providing insights into why this model is becoming the go-to choice for developers worldwide
- Includes a complete Ollama setup guide and optimization techniques for running DeepSeek R1 locally
Potential Drawbacks
- Lacks an in-depth exploration of certain ML concepts, assuming some foundational knowledge from learners
- May not be suitable for absolute beginners due to basic Python programming knowledge and understanding of basic ML concepts required
- Section on setting up the development environment could be more detailed for smoother learner experience
- Lacks a comprehensive comparison with other local AI development tools, focusing mainly on DeepSeek R1 features
6427871
udemy ID
28/01/2025
course created date
17/03/2025
course indexed date
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