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.
Are you tired of feeling lost when AI comes up in meetings? Do you wonder how AI could transform your work but don't know where to start? You're not alone, and you don't need to become a programmer to thrive in the AI era.
This course is designed specifically for non-technical business professionals who want to understand, evaluate, and leverage AI without writing a single line of code. Whether you're in marketing, sales, operations, HR, or management, AI is already changing your industry, and this course ensures you're ready. You'll start by understanding AI fundamentals in plain language: machine learning, deep learning, and generative AI.
Then, you'll explore real-world AI applications across business functions like recommendation systems, fraud detection, predictive maintenance, and customer service automation.
Qué aprenderás en este cursoWhat you'll learn in this course
A quién va dirigidoWho this course is for
- This course is for non-technical business professionals who want to understand and leverage AI without learning to code.
- Valuable for business analysts and consultants who want to identify AI opportunities for clients or their organizations.
- Perfect for entrepreneurs looking to integrate AI into their business strategy and gain competitive advantages.
- Perfect for anyone whose job is being transformed by AI and wants to stay ahead of the curve.
- Ideal for managers and team leaders supervising teams that use AI or making AI investment decisions.
- Great for HR specialists interested in using AI for recruitment, retention prediction, and workforce planning.
Requisitos previosPrerequisites
- No technical skills required,no coding, no math, no prior AI experience needed. This course is designed for complete beginners. All you need is professional work experience in any field (marketing, sales, operations, HR, management, etc.) and curiosity about how AI can improve your work. Internet access to experiment with AI tools like ChatGPT is helpful but not mandatory.
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 AI in Everyday Work2 claseslectures · 5m
- Why AI matters for non‑technical professionals2m
- Real stories: how AI is already in your daily apps3m
02Key Concepts Without Math4 claseslectures · 14m
- What is Artificial Intelligence? From rules to learning3m
- Machine Learning, Deep Learning and Generative AI in simple terms4m
- Data, models and predictions: how AI "learns" from examples3m
- Typical AI workflow at a high level4m
03Types of AI Systems You Will See at Work3 claseslectures · 12m
- Recommendation systems (products, contents, news)3m
- Classification and scoring (fraud detection, churn, credit scoring)4m
- Forecasting and conversational AI (demanda, chatbots, copilots)5m
04Data Foundations for AI (for Non‑Technical People)3 claseslectures · 14m
- Why data quality, consistency and governance matter4m
- Common data problems: bias, missing data, privacy issues5m
- Your role in improving data (as domain expert, manager, process owner)5m
05Everyday Applications of AI in the Workplace3 claseslectures · 16m
- AI in productivity tools (email, office suites, meeting assistants)5m
- AI in marketing and sales (segmentation, personalization, lead scoring)6m
- AI in operations, customer service and HR6m
06Identifying Good AI Use Cases3 claseslectures · 17m
- From pain points to AI opportunities: where AI really helps5m
- Simple framework to evaluate a use case (value, feasibility, risk)6m
- Examples of strong vs weak AI use cases in real companies6m
07Working With AI Teams (Without Being Technical)3 claseslectures · 13m
- Roles in an AI initiative: business, data, IT, legal, leadership5m
- How to write a clear problem statement for an AI project4m
- Questions to ask data scientists and how to interpret results4m
08Risks, Ethics and Responsible AI3 claseslectures · 14m
- Typical AI risks: bias, unfair decisions, privacy, security5m
- Transparency, explainability and human‑in‑the‑loop5m
- Principles of responsible AI in organizations4m
09GenAI and Large Language Models for Non‑Technical Users3 claseslectures · 14m
- What are large language models in simple terms4m
- Typical business uses: drafting content, answering questions, copilots4m
- Strengths and limitations: hallucinations, outdated info, best practices5m
10Measuring Value and Success of AI Initiatives3 claseslectures · 14m
- What success looks like for an AI use case (beyond "it works")4m
- Business KPIs vs technical metrics: speaking the same language5m
- Communicating impact to stakeholders and leadership5m
11Your Personal AI Roadmap as a Professional1 claseslectures · 4m
- How AI may change your role and skills in the next years4m
12BONUS: 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 15m de vídeo en 32 clases repartidas en 12 secciones (sin tests), más el certificado de finalización de Udemy.2h 15m of video across 32 lectures in 12 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 →