IA para Profesionales del Marketing

Resumen

In an era where "AI-powered" is the new standard, marketers must move beyond basic chatbots to strategic implementation. This course provides a comprehensive roadmap for integrating Generative AI into the modern marketing lifecycle, focusing on both creative output and operational efficiency.

We begin by building a technical foundation, ensuring you understand the strengths and limitations of AI while navigating the critical boundaries of privacy, compliance, and brand safety. You won't just learn to "prompt"; you'll learn to translate complex marketing briefs into structured AI task descriptions that respect audience insights and brand guidelines.

Throughout the modules, you will gain hands-on experience in:

Creative Execution:

Generating and refining high-converting copy for emails, social media, and ads. Strategic Workflows:

Designing end-to-end campaign plans that bridge the gap between a brief and a multi-channel launch.

Data Intelligence:

Leveraging AI to analyze performance data, build detailed personas, and identify high-value audience segments. Optimization:

Repurposing existing assets and using AI-generated variations to scale your A/B testing efforts.

The course concludes with a focus on quality control and professional growth. You will learn to rigorously evaluate AI outputs against brand voice and performance goals.

Finally, you will move from theory to practice by developing a series of assignments that provide hands-on practice at the skills and thought processes needed to make AI a permanent, productive part of your professional toolkit.

Programa

• Definir los conceptos, fortalezas y limitaciones de marketing de la IA generativa.
• Identificar aplicaciones de IA éticas, privadas y seguras para la marca.
• Convertir resúmenes de marketing en descripciones estructuradas de tareas para IA.
• Proponer y refinar contenido de marketing multicanal generado por IA.
• Diseñar flujos de trabajo automatizados por IA para campañas multicanal.
• Analizar datos para generar segmentos de audiencia impulsados por IA.
• Reutilizar activos existentes mediante la optimización asistida por IA.
• Generar variaciones de IA para respaldar decisiones de pruebas A/B.
• Auditar los resultados de IA para el cumplimiento de la marca y la calidad.
• Crear un plan personal para la integración diaria de IA.

---

Materias

Business