FinOps Certified Engineer - Study Plan¶

7-Week Comprehensive Study Schedule¶

Week 1: FinOps Engineering Foundations¶

Day 1-2: FinOps Framework Engineering Review¶

• Review FinOps lifecycle phases from engineering perspective
• Map engineering tasks to each FinOps capability
• Study the engineer persona responsibilities
• Review FinOps maturity model and engineering maturity indicators
• Review Notes: notes/01-cost-data-engineering.md

Day 3-4: Cloud Billing Data Structures¶

• Study AWS Cost and Usage Report (CUR) schema in detail
• Learn Azure Cost Management API data model
• Understand GCP BigQuery billing export tables and columns
• Compare billing data structures across providers
• Practice writing queries against billing data

Day 5-6: Infrastructure as Code for FinOps¶

• Review Terraform resource tagging patterns
• Study CloudFormation tag propagation
• Learn Infracost integration with Terraform
• Understand cost estimation in deployment pipelines
• Review Notes: notes/04-finops-tooling.md

Day 7: Week 1 Review¶

• Review all notes from the week
• Create flashcards for API endpoints and data schemas
• Take a mini quiz on billing data structures
• Identify weak areas for deeper study

Week 2: Cloud Cost Data and Analytics¶

Day 8-9: Cost Data Pipeline Architecture¶

• Study data pipeline patterns for billing data
• Learn ETL processes for CUR data (S3 to Athena)
• Understand Azure Cost export to Storage and Synapse
• Study GCP BigQuery billing export and analysis
• Review Notes: notes/01-cost-data-engineering.md

Day 10-11: Cost Analysis and Querying¶

• Practice Athena queries against CUR data
• Study BigQuery billing query examples
• Learn Azure Cost Management query API
• Understand cost aggregation and normalization
• Practice filtering by tags, services, and time periods

Day 12-13: Anomaly Detection and Alerting¶

• Study AWS Cost Anomaly Detection service
• Learn threshold-based vs ML-based anomaly detection
• Understand alerting architectures (SNS, EventBridge, webhooks)
• Review custom anomaly detection approaches
• Practice setting up budget alerts programmatically

Day 14: Week 2 Review¶

• Review cost data and analytics concepts
• Practice with data pipeline architecture questions
• Take a mini quiz on billing APIs
• Update study notes

Week 3: Tagging and Cost Allocation Engineering¶

Day 15-16: Tagging Automation¶

• Study AWS Tag Policies and enforcement mechanisms
• Learn Azure Policy for tag enforcement
• Understand GCP label management APIs
• Implement tag remediation automation patterns
• Review Notes: notes/02-tagging-automation.md

Day 17-18: Cost Allocation Engineering¶

• Study shared cost allocation algorithms
• Learn Kubernetes cost allocation (namespace, label-based)
• Understand multi-cloud cost normalization
• Practice building allocation rules programmatically

Day 19-20: Reporting and Dashboards¶

• Study AWS QuickSight for cost dashboards
• Learn Azure Power BI cost reporting
• Understand GCP Looker Studio billing reports
• Review custom dashboard approaches (Grafana, Superset)

Day 21: Week 3 Review¶

• Review tagging and allocation concepts
• Practice with tagging automation scenarios
• Take a mini quiz on cost allocation
• Update flashcards

Week 4: Rate and Usage Optimization Engineering¶

Day 22-23: Automated Right-sizing¶

• Study AWS Compute Optimizer API in detail
• Learn Azure Advisor recommendation API
• Understand GCP Recommender API
• Build automated right-sizing workflow conceptually
• Review Notes: notes/03-optimization-automation.md

Day 24-25: Spot Instance Engineering¶

• Study Spot Fleet configuration and allocation strategies
• Learn interruption handling patterns (metadata, EventBridge)
• Understand Azure Spot VM scale set configuration
• Study GCP Preemptible/Spot VM management
• Practice designing fault-tolerant spot architectures

Day 26-27: Resource Scheduling and Waste Detection¶

• Study AWS Instance Scheduler solution architecture
• Learn custom scheduling with Lambda and EventBridge
• Implement waste detection scripts conceptually
• Understand automated remediation patterns

Day 28: Week 4 Review¶

• Review optimization engineering concepts
• Practice with optimization automation scenarios
• Take a mini quiz on spot engineering
• Review fact sheet for gaps

Week 5: Automation, Tooling, and Governance¶

Day 29-30: Policy as Code¶

• Study Open Policy Agent (OPA) and Rego language
• Learn HashiCorp Sentinel policy framework
• Understand AWS Service Control Policies in depth
• Practice writing cost policies in code
• Review Notes: notes/04-finops-tooling.md

Day 31-32: CI/CD Cost Integration¶

• Study Infracost integration with GitHub Actions
• Learn cost estimation in Terraform plan
• Understand cost validation gates in pipelines
• Review deployment cost tracking patterns

Day 33-34: FinOps Tools and Governance¶

• Study native cloud cost tools across all providers
• Review third-party FinOps platforms (Apptio, CloudHealth)
• Learn budget API automation across providers
• Understand compliance monitoring automation
• Review Notes: notes/05-unit-economics-kpis.md

Day 35: Week 5 Review¶

• Review automation and governance concepts
• Practice with policy as code scenarios
• Take a comprehensive practice exam
• Identify remaining weak areas

Week 6: Practice and Integration¶

Day 36-37: Full Practice Exams¶

• Take full-length practice exam 1
• Review all incorrect answers thoroughly
• Map missed questions to study domains
• Study explanations for each wrong answer

Day 38-39: Integration Patterns¶

• Review end-to-end FinOps engineering workflows
• Study multi-cloud cost management patterns
• Practice with complex scenario questions
• Review event-driven cost management architectures

Day 40-41: Weak Area Deep Dive¶

• Focus study on domains with lowest practice exam scores
• Re-read relevant documentation
• Practice additional questions in weak areas
• Review real-world case studies

Day 42: Week 6 Review¶

• Take full-length practice exam 2
• Target score: 80%+
• Review remaining gaps
• Plan final week study priorities

Week 7: Final Preparation¶

Day 43-44: Final Review - High Weight Domains¶

• Deep review of Rate and Usage Optimization (30%)
• Deep review of Cloud Cost Data and Analytics (25%)
• Practice with domain-specific questions
• Review all API endpoints and data schemas

Day 45-46: Final Review - Remaining Domains¶

• Review Automation and Tooling (20%)
• Review Engineering Fundamentals (15%)
• Review Governance and Compliance (10%)
• Take final practice exam (target: 85%+)

Day 47-48: Exam Preparation¶

• Quick review of all fact sheets and notes
• Go through all flashcards
• Light review only - avoid cramming
• Ensure exam logistics are ready

Day 49: Exam Day¶

• Quick review of key APIs and data structures
• Review FinOps engineering principles
• Stay calm and confident
• Remember: 50 questions, 60 minutes, 70% to pass

Progress Tracking¶

Domain Confidence Levels¶

Practice Exam Scores¶