FinOps Certified Professional - 8 Week Practice Plan¶

This plan assumes 10-12 hours per week. Compress to 6 weeks if you have 3+ years FinOps leadership experience.

Week 1: Framework Mastery¶

Goals: move from knowing the framework to being able to teach it.

Re-read the FinOps Framework with attention to the Capabilities refresh
Map every capability to a maturity level in an org you know well
Read three case studies from the FinOps Foundation library
Build a one-page "here is our FinOps program" deck for your real or imagined org

Goals: build commitment strategy confidence across clouds.

AWS: understand SP vs RI decision tree, Convertible RIs, Compute SP flexibility
Azure: Reservations, Savings Plan for Compute, MACC
GCP: resource-based CUDs, spend-based CUDs, custom CUDs, flexible CUDs
Build a commitment portfolio exercise: given one month of usage, propose a portfolio and justify trade-offs
Calculate ESR before and after your proposed portfolio
Read on autonomous commit platforms and when they win

Deliverable: a multi-cloud commitment strategy doc with coverage targets and rationale.

Goals: know the moves that change the shape of the cost curve.

Rightsizing: read provider docs (Compute Optimizer, Azure Advisor, Recommender)
Storage: tiering policies for S3, Blob, GCS; intelligent tiering vs manual
Compute: spot economics, ARM migration (Graviton), container density
Data transfer: NAT vs endpoints, cross-AZ traps
Case study: pick a workload and write a before/after architecture with cost math

Deliverable: a workload optimization playbook covering compute, storage, data transfer.

Goals: be able to design a multi-cloud FinOps data pipeline.

Master FOCUS 1.1 columns end to end
Build (or describe) a pipeline: AWS CUR 2.0 + Azure export + GCP BigQuery export into FOCUS
Design allocation that works across clouds with a common taxonomy
Explore FOCUS use in Snowflake, BigQuery, and Databricks
Read FOCUS working group meeting notes to understand open issues

Deliverable: pipeline architecture diagram + a working SQL example across two clouds.

Goals: be able to pick and defend an operating model.

Deliverable: an operating model proposal for a hypothetical 500M cloud org.

Goals: add carbon to your cost vocabulary.

Scope ½/3 fundamentals
Cloud provider carbon reports: AWS CCFT, Azure Emissions Impact, GCP Carbon Footprint
Software Carbon Intensity (SCI) spec
Region selection trade-offs
Efficiency as a cost-carbon co-benefit
The FinOps Sustainability Capability

Deliverable: a GreenOps integration plan for your FinOps scorecard.

Goals: apply FinOps to the cost frontier.

GPU economics: training vs inference, batch vs real-time
LLM API pricing: per-token, context window, caching strategies
Vector DBs and retrieval cost
Snowflake and Databricks cost levers (warehouse sizing, auto-suspend, storage lifecycle)
Model lifecycle governance and cost gating

Deliverable: an AI cost governance playbook including guardrails and reporting.

Full re-read of notes
Two timed mock exams at 120 minutes
Deep review of incorrect answers
Practice verbalizing trade-offs: pick five scenarios and talk through them out loud
Light review day before exam

Deliverable: consistent mock scores above 80 percent.