Welcome to Maximizing AWS Savings with RIs, Savings Plans, and Serverless! In this course, you will learn how to significantly reduce your AWS cloud costs by leveraging Reserved Instances (RIs), Savings Plans, and serverless architectures. This course provides a deep dive into AWS cost commitment models and how to choose the right one based on your workload needs and flexibility requirements.

Intended audience

This course is designed for:

Technical AWS cloud engineers seeking to deepen their expertise in cost optimization.
FinOps professionals responsible for managing and reducing cloud spend across teams or departments.
Cloud architects and developers interested in building scalable, cost-efficient serverless applications.
IT managers and decision-makers looking to understand the financial impact of AWS architectural choices.

Learning objectives

By the end of this course, you'll be able to:

Compare and contrast AWS Reserved Instances and Savings Plans, including their types and use cases.
Select the most cost-effective model for your workloads based on flexibility, service usage, and long-term needs.
Optimize Lambda execution time and memory allocation to reduce per-invocation costs.
Design event-driven serverless architectures using Lambda, Fargate, S3, EventBridge, and other AWS services.
Use AWS tools and services to monitor, automate, and refine your cost optimization strategy.
Apply hybrid approaches to balance predictable and dynamic workloads for maximum savings.

Prerequisites

To get the most out of this course, you should:

Be familiar with AWS compute and serverless services, including EC2, Lambda, and Fargate.
Understand AWS pricing models and basic cost optimization techniques.
Have prior experience with AWS Cost Explorer and basic cloud architecture principles.

Maximizing AWS Savings with RIs, Savings Plans, and Serverless: Introduction