DATA UNIVERSEDescripción detallada del cursoDetailed course description
Contenido en inglés, el idioma en que se imparte el curso.Content in English, the language the course is taught in.
Hi! Welcome to RAG (Retrieval-Augmented Generation) & Private AI Strategy , the definitive course designed to transform how your organization interacts with Artificial Intelligence. In the current landscape, tools like ChatGPT and Claude are impressive, but they suffer from a major flaw: they don’t know your business. They lack access to your internal policies, product manuals, and strategic plans, often leading to "hallucinations" or generic answers that don't solve real problems. This course is your strategic roadmap to fixing that using Retrieval-Augmented Generation (RAG) .
RAG is the most in-demand AI architecture in the corporate world today because it allows you to connect the reasoning power of large language models to your own private, secure data. Throughout this program, we will demystify the technical complexity of RAG, focusing on a functional and business perspective . You will learn exactly how to bridge the gap between generic AI and a specialized system that acts as a 24/7 expert on your company’s unique knowledge. We move beyond the hype to give you a clear, structured framework for implementation.
We will begin by exploring the "Why": understanding the limitations of current LLMs and why RAG is the most efficient, cost-effective, and secure solution compared to other methods like fine-tuning. You will discover the essential components of a RAG system, from document preparation and vector databases to semantic search, explained in plain English for non-technical professionals. We will also dive deep into strategic use cases , teaching you how to identify where RAG can deliver the highest ROI, whether in customer support, legal compliance, HR, or technical operations.
Qué aprenderás en este cursoWhat you'll learn in this course
A quién va dirigidoWho this course is for
- Any professional working in AI-related sectors who needs to understand the strategic and functional side of specialized enterprise knowledge systems
- Individuals and aspirants looking to start their career in Artificial Intelligence by learning the most practical and demanded architecture in the market
- Students and lifelong learners who want to broaden their knowledge of how to bridge the gap between generic AI and real-world business data
- Managers and decision-makers who need to improve their skills in defining, prioritizing, and managing intelligent initiatives within their organizations
- Business leaders and innovation managers who want to learn how to turn their company's private documentation into a reliable and intelligent knowledge asset
- Consultants and project leads who need to bridge the gap between business needs and the implementation of accurate AI systems without hallucinations
Requisitos previosPrerequisites
- This course is designed for everyone and requires no previous technical background or programming skills because we explain every concept from a functional and business perspective
- Having basic business notions and a general familiarity with office software is helpful but not mandatory for successfully completing all the lessons and exercises
- You only need a standard computer and a basic curiosity
Programa completo del cursoFull course curriculum
Contenido en inglés, el idioma en que se imparte el curso.Content in English, the language the course is taught in.
01Introduction to RAG: The Missing Piece in Enterprise AI3 claseslectures · 13m
- The Problem: Why ChatGPT Doesn't Know Your Company3m
- What Goes Wrong: Hallucinations, Outdated Info, Generic Answers4m
- The Solution: RAG Brings Your Documents to AI6m
02What is RAG? Core Concepts Without the Math3 claseslectures · 23m
- The Two-Step Process: Retrieve, Then Generate6m
- How RAG Finds Relevant Information (Embeddings Explained Simply)7m
- Why RAG Reduces Hallucinations and Improves Accuracy9m
03Business Benefits: Accuracy, Control, and Up-to-Date Knowledge4 claseslectures · 19m
- Accuracy: Answers Grounded in Your Documents6m
- Control: You Decide What Data AI Can Access7m
- Always Current: Update Documents, Not Models3m
- Traceability: Citations and Source References4m
04How Non-Technical People Can Use RAG TODAY4 claseslectures · 12m
- Category 1: "Personal RAG" (Ad-hoc Tools)3m
- Category 2: "Corporate Search Engines" (Enterprise Search)3m
- Category 3: "RAG Builders" (Low-Code / Custom)3m
- Decision Framework: Which Category Do You Need?2m
05Enterprise Use Cases for RAG5 claseslectures · 24m
- Internal Knowledge Bases: HR, IT, Operations Manuals5m
- Customer Support: Technical Documentation and Product Guides5m
- Research and Analysis: Legal, Compliance, Market Research6m
- Sales Enablement: RFP Responses, Competitive Intelligence5m
- Mini Exercise: Identify 3 Document-Heavy Processes in Your Company2m
06Limitations and When RAG Isn't Enough3 claseslectures · 9m
- Retrieval Quality: Garbage In, Garbage3m
- Context Window Limits: Too Much or Too Little Information2m
- When to Use RAG vs Fine-Tuning vs Hybrid Approaches3m
07Working with Teams: RAG Implementation Without Coding4 claseslectures · 32m
- How to Specify RAG Requirements to IT Teams8m
- Document Preparation: What Makes Good RAG Data10m
- Common Platforms: Pinecone, Weaviate, LangChain (High Level)9m
- Course Recap: What have we learnt6m
08BONUS: AI Governance Toolkit1 claseslectures · 2m
- BONUS: AI Governance Toolkit2m
Preguntas frecuentes sobre este cursoFrequently asked questions about this course
¿En qué idioma está el curso?What language is the course in?
Se imparte íntegramente en inglés. Todo el material del curso está en ese idioma. Puedes comprobar en Udemy si hay subtítulos disponibles para tu idioma.It is taught entirely in English. All course material is in that language. You can check on Udemy whether subtitles are available for your language.
¿Qué nivel se necesita?What level is required?
Está catalogado como todos los niveles. Los requisitos publicados por el instructor están en la pestaña de visión general, en el idioma del curso.It is listed as all levels. The requirements published by the instructor are in the overview tab, in the course language.
¿Cuánto dura y qué incluye?How long is it and what is included?
2h 11m de vídeo en 27 clases repartidas en 8 secciones (sin tests), más el certificado de finalización de Udemy.2h 11m of video across 27 lectures in 8 sections (no tests), plus the Udemy certificate of completion.
¿Cuánto tiempo tengo acceso?How long do I have access?
Acceso de por vida en Udemy, con las actualizaciones incluidas y garantía de devolución de 30 días según las políticas de Udemy.Lifetime access on Udemy, with updates included and a 30-day refund guarantee under Udemy policies.
¿Se puede contratar para un equipo o empresa?Can it be arranged for a team or company?
Sí. Impartimos formación in-company partiendo de este contenido, adaptada al sector y al nivel del equipo. Usa el botón de solicitar formación y te contamos opciones.Yes. We deliver in-company training based on this content, adapted to your sector and your team level. Use the request training button and we will walk you through the options.
Valoración de los alumnosStudent ratings
Las opiniones se gestionan y verifican en la plataforma Udemy. Puedes leerlas todas en la página del curso:Reviews are managed and verified on the Udemy platform. You can read them all on the course page: ver opiniones en Udemy →see reviews on Udemy →