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Generative AI Bootcamp: LLM Engineering, RAG & AI Agents

Generative AI Bootcamp: LLM Engineering, RAG & AI Agents

Inteligencia Artificial · Impartido en Udemy

Por qué lo recomendamos

Es el curso más completo de la categoría para quien ya programa en Python y quiere pasar de usar modelos a construir con ellos. Recorre el mismo camino que seguimos en TintoDev cuando integramos IA en un producto: llamadas a la API, diseño de prompts y de contexto, RAG con datos propios y agentes que usan herramientas. Son más de 30 horas, así que conviene tomarlo por bloques y aplicar cada uno a un caso real antes de pasar al siguiente.

Sobre el curso

Stop being an AI User. Start being an AI Engineer.In 2026, the gap between those who "prompt" and those who "build" is widening. Companies aren’t looking for people who can talk to AI; they are hiring LLM Engineers who can architect, fine-tune, and deploy autonomous systems that solve multi-million dollar problems.Welcome to the AI Engineer Bootcamp—the most comprehensive, project-driven track on Udemy. This isn’t a collection of theory slides. It is a 33.5-hour technical deep dive designed to take you from a Python developer to a specialized AI Architect in 8 weeks.Why This Course is DifferentWhile other courses stay at the surface level using basic APIs, we go under the hood. You will master QLoRA for efficient fine-tuning, build Agentic RAG pipelines that actually scale, and orchestrate Multi-Agent Systems that work autonomously.The 8-Week / 8-Project PortfolioYou won't just learn; you will build. By the end of this course, you will have a professional GitHub portfolio featuring:Smart Scraper: An AI brochure generator that navigates websites intelligently.Multi-Modal Support Agent: A functional airline assistant with UI and tool-calling.Meeting Intelligence: Convert audio to action items using Whisper & Llama 3.2.The Performance Booster: An AI that optimizes Python code into C++ (60,000x speedup).Enterprise Knowledge Worker: A production-grade RAG system for company data.Capstone (Part A-C): Build a "Price Prediction" engine, fine-tune an Open Source model to beat GPT-4o, and deploy an autonomous Deal-Scanner Agent System.What You Will

Descripción proporcionada por el proveedor del curso.