Data UniverseDATA UNIVERSE
AI Governance & ComplianceAI Governance & Compliance ★ 4.5 / 5.0 (más de 120 valoraciones en Udemy)(120+ ratings on Udemy)

AI Accuracy & Guardrails: Stop Hallucinations & Spot Errors

Safe, reliable AI: detect hallucinations, verify answers, design better prompts, and add simple guardrails.

2h 3m de vídeoof video +750750+ estudiantesstudents Todos los nivelesAll levels Certificado de finalización en UdemyCertificate of completion on Udemy

Curso íntegramente en inglés · Última actualización 4/2026 · 24 clases en 8 seccionesCourse entirely in English · Last updated 4/2026 · 24 lectures in 8 sections

Este curso está disponible solo en inglés. El programa, los objetivos y los requisitos se muestran en su idioma original, tal como están publicados en Udemy.This course is available in English only. The curriculum, objectives and requirements are shown in their original language, as published on Udemy.

Descripción 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.

AI tools like ChatGPT, Claude, and Copilot are now everyday work companions, but they’re also confidently wrong much more often than most people realize. They invent facts, misquote data, fabricate references, and sound completely certain while doing it. This course gives you a practical, non‑technical system to use AI safely and reliably in real professional contexts, whether you’re just starting with AI or already using it daily at work.

You’ll learn why generative models get things wrong (they match patterns, they don’t “think”), what hallucinations really are, and the other common problems you need to watch for, like bias, vague answers, and lost context. Then you’ll train your eye to spot red flags in seconds: overconfident tone, missing or fuzzy sources, impossible calculations, strange dates, and too‑perfect statistics.

From there, you’ll practice simple but powerful questioning techniques: asking for sources, step‑by‑step reasoning, alternatives, assumptions, and self‑critique. You’ll also learn how to build guardrails directly into your prompts, strict formats, verification steps, and consistency checks, so the AI does more of the quality control for you.

Qué aprenderás en este cursoWhat you'll learn in this course

People who have never used generative AI and want to learn how to ask it things without making mistakes or depending on "luck" to get a good response.
Ask better prompts and verification questions that force AI to show sources, steps, and assumptions before accepting an answer.
Apply practical guardrails (formats, structures, and self‑review) to drastically reduce hallucinations without needing any coding skills.
Integrate AI safely into their workflow by deciding what to delegate, what to always double‑check, and when not to rely on AI for critical decisions.
Understand how generative models work at a high level (statistical patterns, not logic) and why this creates typical errors like hallucinations.
Use advanced prompting patterns (Devil’s Advocate, Multi‑View, step‑by‑step reasoning) to get more complete and less biased AI analyses.
Design prompts with strict formats (lists, tables, JSON) that make responses clearer, auditable, and easier to review as a team.
Combine human judgment, external sources, and AI output in a layered verification system to work with AI confidently and with traceability.

A quién va dirigidoWho this course is for

  • Personas que nunca han usado IA People who have never used generative AI and want to learn how to ask for things without “getting lucky” or making obvious mistakes.generativa y quieren aprender a pedirle cosas sin meter la pata ni depender de “la suerte” de la respuesta.
  • Professionals in any area (marketing, sales, HR, finance, education, healthcare, legal, etc.) who already use tools like ChatGPT, Claude, or Copilot and want to do it more safely and reliably.
  • People at the start of their career in tech or data (interns, juniors, early‑career roles) who want to stand out by spotting AI errors and hallucinations.
  • Freelancers, consultants, and entrepreneurs who use AI to produce client work and need to guarantee quality, rigor, and traceability in what they deliver.
  • Experts and advanced AI users who already know basic prompting but want systematic methods for verification, guardrails, and professional‑grade best practices.
  • Students, exam candidates, and career‑changers who want to use AI for studying, research, or writing without falling into plagiarism, serious errors, or made‑up information.

Requisitos previosPrerequisites

  • Conocimientos báBasic computer and internet skills and curiosity about learning to work with AI; no technical background or prior experience with artificial intelligence is required.sicos de uso de ordenador e internet y curiosidad por aprender a trabajar con IA; no se requieren conocimientos técnicos ni experiencia previa con inteligencia artificial.

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.

8seccionessections
24claseslectures
2h 3mde vídeoof video
01Why AI Gets Things Wrong3 claseslectures · 16m
  • How generative models work at a high level (statistical patterns, not logic).7m
  • Hallucinations: what they are and why they occur (invented data, references, fac5m
  • Other common errors: biases, vague answers, misunderstanding context.4m
02Spotting AI Errors in Real Time3 claseslectures · 17m
  • Warning signs in text: overly confident tone, lack of sources, contradictions6m
  • Warning signs in data/numbers: impossible calculations, strange dates.5m
  • Practical examples: “good response” vs “hallucination” side by side6m
03Questioning & Probing Techniques3 claseslectures · 15m
  • Verification questions: How do you know that?, Show your steps6m
  • Asking for self‑review: Check your response for errors, Critique your argument6m
  • Effective patterns: Devil’s Advocate, Multi‑View, Step‑By‑Step4m
04Simple Guardrails You Can Ask the AI to Apply5 claseslectures · 25m
  • Structural guardrails5m
  • Verification guardrails5m
  • Consistency guardrails5m
  • Guardrails walkthrough5m
  • Guardrail prompt templates6m
05Understanding AI Limits3 claseslectures · 18m
  • Why AI sounds confident6m
  • Structural limitations5m
  • When not to trust AI6m
06Safe AI Use at Work3 claseslectures · 19m
  • Golden rules for safe use5m
  • AI + humans + sources6m
  • Final error‑fixing workshop7m
07Future AI Risks3 claseslectures · 14m
  • Goal‑driven AI risks4m
  • More autonomous AI5m
  • Why humans stay in the loop5m
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 3m de vídeo en 24 clases repartidas en 8 secciones (sin tests), más el certificado de finalización de Udemy.2h 3m of video across 24 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

4.5
★★★★★
Más de 120 valoraciones en Udemy · +750 estudiantes120+ ratings on Udemy · 750+ students

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 →

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