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.
Someone in a meeting asks a simple question: how much are we spending on AI? Somebody answers with a number, usually taken from the one invoice with the word AI printed on it. Everyone writes the figure down and the meeting moves on.
That number is usually three or four times too low. Everyone in the room is reporting the only line item that exists. The rest of the spending is real, it is paid every month, and it is scattered across places nobody thinks to look.
That gap is what this course is about. It brings FinOps discipline to AI spend, and it is written for the people who have to answer that question: finance and FinOps teams, IT and procurement leaders, and anyone who owns an AI budget without being an engineer.
Qué aprenderás en este cursoWhat you'll learn in this course
A quién va dirigidoWho this course is for
- Finance professionals and controllers who need to answer what AI actually costs and defend that number in budget meetings.
- IT and technology leaders responsible for AI infrastructure spend who need visibility beyond the model provider invoice.
- Procurement professionals negotiating AI contracts, commitments, and tiers who need to understand the cost mechanics.
- Product managers and owners who need to estimate the cost of an AI workload before it gets built and deployed.
- CFOs and finance directors who need AI cost reporting that is complete, credible, and actually decision-useful.
- FinOps practitioners extending their discipline from cloud into AI, where the cost behaviour is fundamentally different.
- Business unit leaders who have AI budget responsibility and need to justify or defend their AI spending internally.
- Operations and transformation leads running AI portfolios who must decide what keeps running and what gets switched off.
- Consultants and advisors helping organizations get control of AI spending and build sustainable cost practices.
- Anyone who has been asked how much we are spending on AI and realized the honest answer is that nobody really knows.
Requisitos previosPrerequisites
- No coding or engineering required, this work happens in a spreadsheet and in conversations with people in your organization.
- No prior FinOps or AI cost experience is needed, every concept is built from the ground up with a running case study.
- All you need is budget responsibility over AI, or the need to answer what AI is actually costing your organization.
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.
01THE AI BILL NOBODY BUDGETED FOR5 claseslectures · 17m
- Welcome: what this course is, and what it is not3m
- The token illusion: why the model invoice is a fraction of the real bill5m
- Why AI cost does not behave like cloud cost5m
- Meridian Logistics, the toolkit, and how to use this course4m
- D1. AI Cost Reality Check0m
02TOTAL COST OF AI: BUILDING THE FULL PICTURE6 claseslectures · 23m
- The seven layers of AI cost5m
- Drawing the boundary: what you count, what you can influence4m
- The costs that never make it into a business case5m
- Build, buy or subscribe: how each option reshapes the bill5m
- From invoice to cost model: reading what your providers send you4m
- D2. TCA Cost Model Workbook0m
03TOKENS, INFERENCE AND THE COST CURVE5 claseslectures · 20m
- How token pricing really works5m
- The cost curve: why the bill grows faster than usage5m
- Agents and cost: when the meter stops being predictable5m
- Estimating a workload before anyone builds it5m
- D3. Token and Workload Cost Estimator0m
04ALLOCATION, VISIBILITY AND ACCOUNTABILITY5 claseslectures · 19m
- Giving AI spend an owner: scopes, tags and showback5m
- AI cost reporting a CFO will actually read5m
- Anomaly management: catching the runaway before the invoice5m
- Shadow AI and the SaaS with AI inside problem5m
- D4. AI Cost Allocation and Reporting Pack0m
05OPTIMIZATION WITHOUT BREAKING QUALITY6 claseslectures · 26m
- The quality floor: the rule that makes every optimization safe5m
- Routing and gateways, as a cost decision6m
- Context and caching: paying twice for the same words5m
- Right sizing: when a smaller model is the better economic call5m
- Rate optimization: commitments, tiers, batch and negotiation5m
- D5. AI Cost Optimization Playbook0m
06UNIT ECONOMICS4 claseslectures · 14m
- Choosing the unit: per ticket, per document, per call, per user5m
- Naming your claim: capacity gain, augmentation or automation5m
- Where the number lands, and why an unnamed saving never gets booked4m
- D6. AI Unit Economics Canvas0m
07THE AI PORTFOLIO REVIEW5 claseslectures · 20m
- The portfolio you did not know you had5m
- The renewal decision: keep, renegotiate, optimize or switch off5m
- Switching off well, and redeploying what you free5m
- Three worked calls on the Meridian portfolio5m
- D7. AI Portfolio Review Pack0m
08RUNNING THE PRACTICE4 claseslectures · 14m
- Who does what: personas and a working RACI5m
- Where this meets AI governance, the EU AI Act, ITAM and sustainability4m
- Your first ninety days, and course close5m
- D8. 90-Day Roadmap en doble vía, empresa y profesional, más RACI editable0m
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 32m de vídeo en 40 clases repartidas en 8 secciones, más el certificado de finalización de Udemy.2h 32m of video across 40 lectures in 8 sections, 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 →