Catalog / FIN-100

FIN-100

Cost Optimization & FinOps

Cloud economics as an engineering discipline: visibility, allocation, optimization levers, and executive-grade cost reporting.

Tuition
$4,200 USD
Duration
4 weeks
Commitment
4-5 hrs/week
Format
Live online cohort
Admissions
Rolling
Overview

About this program

Cloud cost is an architecture outcome, and it lands on technical leaders whether they asked for it or not. This program covers the FinOps working set: building spend visibility with allocation that maps to teams, applying optimization levers from rightsizing to commitment discounts to architectural change, and installing an operating model with reporting that finance and engineering both trust.

Who this is for

  • Architects and engineers accountable for cloud spend
  • Platform teams asked to stand up FinOps practice
  • Technical leaders who must defend or reduce a cloud budget
Outcomes

What you will be able to do

  • Build cost visibility with tagging and allocation that maps spend to owners
  • Apply optimization levers in the right order: waste, rate, architecture
  • Model unit costs so growth and efficiency can be discussed separately
  • Run a FinOps cadence with reporting executives and finance trust
Curriculum

Program modules

Delivered over 4 weeks of live tutor-led sessions, applied work, and structured review.

M01

Cloud economics and unit costs

  • How cloud pricing actually works: meters, rates, and bills
  • Unit economics: cost per customer, transaction, or workload
  • Total cost thinking: services, egress, licensing, people
  • Forecasting: usage-driven models that survive scrutiny
M02

Visibility and allocation

  • Tagging strategy that survives real organizations
  • Showback and chargeback: politics and mechanics
  • Azure Cost Management: budgets, alerts, exports
  • Shared-cost allocation: platforms, networking, and support
M03

Optimization levers

  • Waste first: idle, orphaned, and oversized resources
  • Rate second: reservations, savings plans, and commitment strategy
  • Architecture third: redesigns that change the cost curve
  • Storage, data-transfer, and licensing optimization patterns
M04

The FinOps operating model

  • Cadence: reviews, ownership, and accountability loops
  • KPIs that measure efficiency, not just spend
  • Executive reporting: the cost narrative that lands
  • Capstone: cost-optimization plan presented for critique
Labs & applied work

Hands-on components

  • Cost-analysis exercises on a realistic multi-team Azure bill
  • Commitment-strategy modelling workshop with provided scenarios
  • Capstone optimization plan reviewed against savings and risk
Rolling admissions

Ready to apply?

Apply any time. Admissions reviews your fit, confirms the next available cohort, and issues an invoice. Your seat is confirmed on payment.