AI Accuracy & Guardrails Stop Hallucinations & Spot Errors

What you'll learn

Personas que nunca han usado IA generativa y quieren aprender a pedirle cosas sin meter la pata ni depender de "la suerte" de la respuesta.
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.
Spot warning signs in text, data, and numbers (overconfident tone, vague sources, impossible calculations, strange dates) so they can review in time.
Create reusable prompt templates with built‑in verification that their team can apply consistently across different projects.
Evaluate when to use AI only as an assistant (research, drafts, brainstorming) and when expert review is mandatory.
Document AI use in key projects to keep a clear record of what was delegated, how it was verified, and which decisions the team made.

Requirements

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.

Description

This course contains the use of artificial intelligence. It was used to generate the Course Image. 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.
Finally, you'll integrate everything into a safe workflow: what to delegate to AI, what to always verify, when never to trust AI alone, and how to combine AI with human judgment and external sources. A hands‑on workshop lets you analyze and fix real AI responses so you leave with practical, reusable habits for safe, professional‑grade AI use.

Who 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.
Team leads, managers, and middle managers who need to ensure their teams don't make serious mistakes by trusting AI blindly in projects and deliverables.

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