FinOps Engineer Track (AWS)

FinOps Engineer Track (AWS)

Master AWS Cloud cost optimization with practical labs and real-world projects. Learn billing, budgeting, cost analysis, cost-effective architecture patterns, savings plans, Spot instances, Trusted Advisor, Compute Optimizer, Auto Scaling, and real-time monitoring to reduce cloud expenses efficiently.

  • 8 Phases
  • 24 Lessons
  • 6 Hrs
  • Beginner Advanced
Category Cloud computing
FinOps Engineer Track (AWS)
Learning Path 24 Lessons 6 Hrs

Start Phase
  • AWS Cloud Cost Fundamentals & Pricing Models 4
  • Why Cost Optimization is Critical for AWS Projects 9

Start Phase
  • AWS Billing Dashboard & Setup Alerts 6
  • Creating AWS Budgets and Notifications 4
  • How can I use Cost Explorer to analyze my spending and usage? 10

Start Phase
  • AWS EC2 Spot Instances & Savings Plans 39
  • Right Sizing Instances with Compute Optimizer 5
  • Auto Scaling for Cost Efficiency 32

Start Phase
  • S3 Storage Classes & Lifecycle Policies for Cost Saving 18
  • EBS Right Sizing & Backup Optimization (Hands-On Demo) 12
  • RDS Automated Backups & Restore (Hands-On Demo) 11
  • Table Capacity Modes - Amazon DynamoDB Core Concepts 6

Start Phase
  • VPC Peering — Hands-on Setup 25
  • AWS Cost Optimisation Series: CloudFront (Practical Cost-Saving Tips) 8

Start Phase
  • AWS Trusted Advisor for Cost Optimization 3
  • AWS Cost Anomaly Detection & Alerts Setup 4
  • FinOps & Apptio Cloudability - Overview & Demo 18

Start Phase
  • Serverless Architecture for Cost Reduction 19:00
  • Microservices & Containerization for Cost Optimization 53:00
  • Multi-Region & Multi-AZ Cost Trade-offs 14:30

Start Phase
  • Project 1: Optimize EC2 & Lambda Costs in a Sample Application 12
  • Project 2: How to set up S3 Lifecycle Rules to save on S3 costs 9
  • Project 3: Cost Optimization of RDS instances - Schedule start and stop 7
  • Project 4: End-to-End Cost Efficient IoT Application Architecture – Part 1 31

Start your FinOps Engineer Track (AWS) journey

Learn at your own pace. Total estimated time 6 hours

Start learning today — completely free

Our mission is to help you learn faster with the best free resources online.