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.
Artificial intelligence projects don't fail only because of technical issues, they fail because of poor communication. Even the most innovative AI initiatives can be rejected if stakeholders don't understand their value, employees fear their impact, or leadership questions their return on investment.
This course equips you with the strategic communication skills needed to drive successful AI adoption across your organization. You'll learn how to craft clear, persuasive messages tailored to diverse audiences, from executives focused on ROI to employees concerned about job security.
We'll explore how to simplify complex technical concepts without losing accuracy, using storytelling techniques and proven frameworks like problem-solution-impact to make AI accessible and memorable. You'll discover how to address the most common objections around employment, bias, privacy, and cost with empathy and transparency.
Qué aprenderás en este cursoWhat you'll learn in this course
A quién va dirigidoWho this course is for
- Project managers and product owners leading AI initiatives who need to communicate effectively with stakeholders
- Data professionals and AI specialists who want to explain technical concepts to non-technical audiences clearly
- Change management and internal communication professionals driving AI adoption within organizations
- Business leaders and executives responsible for securing buy-in and support for AI transformation projects
- HR professionals managing employee concerns and resistance related to AI implementation in the workplace
- Consultants and advisors helping organizations navigate AI adoption and stakeholder alignment challenges
Requisitos previosPrerequisites
- No technical AI knowledge required - this course focuses on communication strategy, not technology implementation
- Basic understanding of organizational dynamics and stakeholder management is helpful but not mandatory
- Experience in project communication, change management, or business roles is beneficial but not essential
- Willingness to practice empathetic communication and address resistance with transparency and clarity
- Open mindset toward learning how to translate complex concepts into accessible language for diverse audiences
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.
01Quick Introduction to AI4 claseslectures · 10m
- What is artificial intelligence2m
- What AI is not2m
- Difference between traditional AI and generative AI3m
- Simple examples of use in daily life and in companies3m
02Fundamentals of communication in AI projects4 claseslectures · 10m
- The role of trust and transparency in the adoption of new technologies3m
- Differences between communicating traditional projects and AI projects2m
- Identification of key actors in an AI project3m
- The three pillars of communication in AI: clarity, transparency, and consistency3m
03Designing clear and persuasive messages4 claseslectures · 12m
- How to simplify technical concepts without losing rigor3m
- Storytelling applied to AI: converting data into understandable stories3m
- Structure of a convincing message: problem, solution, expected impact3m
- "What, why, for whom" framework: designing messages adapted to each audience3m
04Segmented communication by audiences5 claseslectures · 15m
- Audience matrix: executive committee, business, technical, legal and privacy...4m
- Key objectives and benefits by audience2m
- Probable objections and brief responses adapted to each case3m
- Recommended communication channels and formats3m
- Use of templates and guides for repeatable messages2m
05Management of concerns and resistance5 claseslectures · 14m
- Main fears: job loss, human replacement, biases2m
- Empathetic communication techniques: listen, acknowledge, and respond2m
- How to convey AI's limits and risks without generating rejection3m
- How to demonstrate value early with quick wins3m
- Ready-to-use micro-scripts: 30-second and 2-minute versions by audience3m
06Communication between teams and stakeholders5 claseslectures · 15m
- Translation between technical and business languages3m
- Alignment strategies: workshops, hybrid meetings, interactive demos3m
- How to maintain message consistency at different organizational levels3m
- Bank of frequent objections and responses: employment, biases, privacy, cost...3m
- Communication RACI and launch and follow-up checklist3m
07AI tools to enhance communication4 claseslectures · 12m
- Generative AI applied to presentations, summaries, and visualization3m
- Internal chatbots as support in change communication3m
- Critical validation: how to review what AI produces before disseminating it3m
- Risks of depending on AI in communication (hallucinations, biases)3m
08Practical cases and applied workshop4 claseslectures · 13m
- Success case: communication of an AI system for customer service3m
- Failure case: internal resistance due to poor explanation of benefits3m
- Lessons learned and checklist for future initiatives3m
- Practical workshop: design a communication plan for a fictitious AI project4m
09Final Course Assessment0 + 1 claseslectures
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?
1h 39m de vídeo en 35 clases repartidas en 9 secciones (1 test), más el certificado de finalización de Udemy.1h 39m of video across 35 lectures in 9 sections (1 test), 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 →