
1. Master Prompt 3 — Augmentation
Lecture 7: Building the Business Case with Claude AI
Aquí lo usaría primero. Aunque el prompt maestro de augmentation en la slide habla de un Project Charter, el patrón aplica perfecto al Business Case: le damos a Claude un brief inicial y le pedimos construir un primer documento estructurado.
Aquí el mensaje pedagógico sería:
“This is augmentation. Claude is helping us create a first structured draft from an initial brief. This would take much longer to build manually.”
Me parece el mejor primer uso porque genera impacto temprano. El estudiante ve que Claude no solo contesta preguntas; ayuda a construir un entregable profesional.
Lecture 8: Reviewing the Business Case: Assumptions, Risks, and Executive Judgment
Este encaja perfecto. Tomamos el Business Case que Claude generó en la sesión anterior y lo auditamos.
Aquí revisaría:
supuestos tratados como hechos,
afirmaciones sin respaldo,
riesgos omitidos,
sesgos o puntos ciegos,
decisiones que no deberían enviarse al sponsor sin revisión humana.
Esta sesión quedaría muy fuerte porque muestra algo que muchos cursos de IA no hacen: no solo generar, sino supervisar.
El mensaje sería:
“A modern project manager does not send AI-generated work directly to stakeholders. First, the project manager reviews, challenges, and validates the output.”
Aquí usaría assistance de manera muy explícita. No le pediría simplemente a Claude “hazme una matriz de stakeholders”. Más bien haría esto:
Primero, Claude ayuda a generar una primera matriz o estrategia de stakeholders. Luego usamos el prompt de assistance para revisar críticamente esa matriz.
Por ejemplo:
“What stakeholders are missing?”
“Which influence levels seem questionable?”
“Which engagement strategies are too generic?”
“What stakeholder risks are we underestimating?”
Aquí el estudiante entiende la diferencia entre augmentation y assistance. En augmentation, Claude crea un primer entregable amplio. En assistance, Claude actúa como revisor, retador o copiloto crítico.
Lecture 15: Resource and Cost Baselines with Claude in Excel
Ahí me parece el lugar más natural.
¿Por qué? Porque en planificación usted ya tiene datos relativamente estructurados: recursos, costos, categorías, supuestos, cantidades, tarifas, contingencia, etc. Entonces Claude puede ayudar a convertir esa información en una tabla ordenada para Excel o en un presupuesto base con formato definido.
Ahí Automation no se sentiría forzado porque el mensaje sería:
“We are not asking Claude to make a strategic decision. We are asking Claude to transform structured planning data into a repeatable Excel-ready format.”
Eso es automation: formato definido, tarea estructurada, salida repetible.
Podría presentarlo así dentro de la sesión:
Momento de la clase: después de explicar los recursos y costos principales del proyecto.
Prompt: pedirle a Claude que convierta la información en una tabla base para Excel con columnas específicas: work package, resource type, quantity, unit cost, total cost, assumptions, and notes.
Resultado: una tabla limpia que luego se puede pegar en Excel para seguir trabajando.
La frase pedagógica sería:
“This is our first explicit use of the automation pattern. Claude is not deciding the budget for us. It is helping us structure recurring planning data into a clean, usable format.”
This course contains the use of artificial intelligence. AI tools were used to improve audio/video quality, and demonstrate AI-assisted project management workflows. The course design, case materials, instructional explanations, project management logic, examples, prompts, Skills, and final review were created and supervised by Carlos Martínez, PhD.
Artificial intelligence is no longer just a future promise for project management. Professional frameworks are already discussing it, companies want to adopt it, and many Project Managers know they need to learn how to use it. But there is a major difference between talking about AI in general and actually using it to build real deliverables, support better decisions, and manage projects with more structure and professional judgment.
My name is Carlos Martínez. I hold a PhD in Management from the University of St. Gallen in Switzerland, I have written more than 25 teaching cases, including cases available through the Harvard Business Publishing and University of Michigan case libraries, and I have spent more than five years building courses in business, finance, analytics, and project management on Udemy.
I designed this course so you do not simply learn how to chat with Claude. The goal is to help you use Claude as part of a professional project management workflow.
Throughout the course, we follow a complete project case from initiation to closure. You will work with project charters, stakeholder analysis, planning documents, resource and cost baselines, risk registers, vendor evaluations, change control assessments, and closure packages. The objective is not only to generate outputs, but to understand how AI can support structured thinking, better communication, and stronger project governance.
This course also goes beyond a simple chat experience. You will explore the broader Claude ecosystem, including Claude Cowork, Projects, Claude in Excel, Word and PowerPoint, connectors, and reusable Skills. At the end of the course, we take those Skills and package them into our own Project Management plugin, so you can see how an organization could create and share its own AI-powered project management toolkit.
The course includes more than video lessons. You will also receive downloadable files, presentation PDFs, reusable prompts, Skills, Excel workbooks, access to the Q&A forum, and AI-powered roleplays where you can practice professional conversations with sponsors, compliance, finance, operations, and the Project Management Office.
This is not a course where Claude manages the project for you. The real advantage is learning how to direct the tool with structure, context, and professional judgment. You will learn how to use AI to think more clearly, communicate with stakeholders, prepare better deliverables, and work with more confidence across the project lifecycle.
This course was designed for Project Managers, team leaders, consultants, analysts, and professionals who want to move beyond basic AI experimentation and learn how Claude can be integrated into real project management work.