DeepSeek AI R1 & Ollama Guide: Build Local AI Applications
Master Local AI Development: Deploy LLMs, Build Applications & Create AI Tools Using DeepSeek R1, Ollama & Python
Lo que serás capaz de hacer
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 applications Course Highlights: Complete setup guide for DeepSeek R1 with Ollama Working with different model variants (1.5B, 7B models) Performance optimization techniques Building practical AI applications What 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 applications AI enthusiasts interested in local LLM deployment Tech professionals looking to build custom AI solutions locally Anyone interested in open-source AI development Prerequisites: Basic Python programming knowledge Familiarity with command-line operations Computer with minimum 16GB RAM (see course for full requirements) No prior AI experience required What You'll Build: Throughout this course, you'll create several practical applications, including: Local AI development environment Custom chat applications Code assistance tools AI-powered productivity applications Don'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.
- 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.
Temario
UNIDAD 1 - Introduction · 4 leccionesUNIDAD 1 - Introduction
UNIDAD 1 - Introduction
- Introduction & What the Course is About
- WATCH THIS: What You'll Build in this Course
- Course Prerequisites
- Course Structure and Development Environment Setup
UNIDAD 2 - Download Code and Resources · 1 leccionesUNIDAD 2 - Download Code and Resources
UNIDAD 2 - Download Code and Resources
- Source code
UNIDAD 3 - DeepSeek R1 Fundamentals · 5 leccionesUNIDAD 3 - DeepSeek R1 Fundamentals
UNIDAD 3 - DeepSeek R1 Fundamentals
- DeepSeek R1 Deep Dive - Capabilities and What it Is
- DeepSeek Foundation Core Architecture
- DeepSeek Model Variations
- Open vs. Closed Source LLMs - Overview
- DeepSeek Foundations - Summary
UNIDAD 4 - DeepSeek R1 and Ollama - Deep Dive · 4 leccionesUNIDAD 4 - DeepSeek R1 and Ollama - Deep Dive
UNIDAD 4 - DeepSeek R1 and Ollama - Deep Dive
- Introduction to DeepSeek R1 and Hardware Requirements
- DeepSeek Chatbox - Hands-on
- Installing LM Studio and Installing DeepSeek R1 Distilled Model
- Installing Ollama and Downloading R1 Distilled Model & Chatting with It
UNIDAD 5 - DeepSeek R1 Local Development · 2 leccionesUNIDAD 5 - DeepSeek R1 Local Development
UNIDAD 5 - DeepSeek R1 Local Development
- Development and Integration Locally - Overview
- Using Ollama Local API Endpoint to Run DeepSeek R1 Model in Code - Hands-on
UNIDAD 6 - Hands-on - Building AI Applications with R1 - Building Use-cases · 6 leccionesUNIDAD 6 - Hands-on - Building AI Applications with R1 - Building Use-cases
UNIDAD 6 - Hands-on - Building AI Applications with R1 - Building Use-cases
- Document Analyzer - Introduction Demo
- Hands-on Document Analyzer Code Walkthrough
- Code Assistant - Demo Overview
- Code Assistant Code Walkthrough
- AI Multi-Assistant Demo
- AI Multi-Assistant Code Walkthrough
UNIDAD 7 - Final Thoughts and Wrap up · 1 leccionesUNIDAD 7 - Final Thoughts and Wrap up
UNIDAD 7 - Final Thoughts and Wrap up
- Final Thoughts and Next Steps
Tu certificado lo emite la SEP, no solo una plataforma
Al demostrar la competencia recibes un certificado emitido por la Secretaría de Educación Pública a través del Gobierno del Estado de México: un documento oficial que puedes presentar con confianza ante cualquier empleador o institución.
Tu certificado con INEC
- Lo emite la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México
- Documento oficial con folio verificable en línea
- Lo otorga la Universidad Tecnológica Fidel Velázquez
Otras plataformas en línea
- Constancia privada emitida por la misma plataforma
- Solo acredita horas cursadas o asistencia
- Sin respaldo de una autoridad educativa
Tu itinerario, de la inscripción al certificado
- 1
Inscripción con pago único
Pagas $2,800 MXN una sola vez y entras de inmediato al curso.
- 2
Estudias a tu ritmo
7 unidades con videos, lecturas y actividades, disponibles 24/7 durante 12 meses.
- 3
Cuestionarios por unidad
Cuestionarios para comprobar lo aprendido.
- 4
Certificado
Emitido por la SEP a través del Gobierno del Estado de México, con folio verificable.
Un certificado oficial de la SEP
Muestra · verificable por folio y QR
- Emitido por la Secretaría de Educación Pública (SEP), a través del Gobierno del Estado de México. No es una constancia privada: es un documento oficial, y ese respaldo marca la diferencia frente a otras plataformas en línea.
- Contenido impartido por Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor.
- Folio y QR verificables para compartirlo con quien te contrate.
Empieza hoy, a tu ritmo
Un solo pago y acceso inmediato al curso completo durante 12 meses.
- 7 unidades · 23 lecciones · 35 h
- 12 meses de acceso
- Certificado emitido por la SEP (Gob. del Estado de México) con folio verificable
Sobre tu inscripción
¿Cómo es el pago?
Un solo pago de $2,800 MXN. No hay mensualidades ni cargos recurrentes.
¿Cuánto tiempo tengo acceso?
12 meses desde tu inscripción, 24/7, para avanzar a tu ritmo.
¿Quién imparte el contenido?
El curso es impartido por Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor; INEC gestiona tu inscripción, evaluación y certificado.
¿Qué pasa cuando vence mi acceso?
Puedes renovar tu cuenta tú mismo desde la plataforma, sin trámites ni esperas.
