DeepSeek R1 & Ollama Guide: Build Local AI Applications
Posted on 09 Feb 15:07 | by BaDshaH | 0 views
Published 2/2025
Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 43m ) | Size: 919 MB
Master Local AI Development: Deploy LLMs, Build Applications & Create AI Tools Using DeepSeek R1, Ollama & Python
What you'll 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.
Requirements
Basics of AI, LLM, ML and Python
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 applicationsCourse Highlights:Complete setup guide for DeepSeek R1 with OllamaWorking with different model variants (1.5B, 7B models)Performance optimization techniquesBuilding practical AI applicationsWhat 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 applicationsAI enthusiasts interested in local LLM deploymentTech professionals looking to build custom AI solutions locallyAnyone interested in open-source AI developmentPrerequisites:Basic Python programming knowledgeFamiliarity with command-line operationsComputer with minimum 16GB RAM (see course for full requirements)No prior AI experience requiredWhat You'll Build: Throughout this course, you'll create several practical applications, including:Local AI development environmentCustom chat applicationsCode assistance toolsAI-powered productivity applicationsDon'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.
Who this course is for
AI Engineers, ML Engineers, Developers, Programming Enthusiasts, Stakeholders
Homepage
https://www.udemy.com/course/deepseek-models/
https://ddownload.com/cnyg5rabxhrs
https://rapidgator.net/file/3fb0779fe7e2de6307f7bc5cb8a48c01
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