Overview
This course delves into cost optimization strategies for popular AWS services and workloads. Participants will learn how to identify cost-saving opportunities through rightsizing, reserved capacity utilization, and leveraging serverless technologies.
Discover techniques for managing data transfer costs across AWS services and regions, and get best practice guidance to optimize costs for core networking services. The course also provides insights on cost-efficient practices in container-based architectures with Amazon ECS and EKS, as well as strategies for analytics workloads using Amazon Athena, Amazon EMR, and Amazon Redshift. Additionally, learn to use AI, machine learning, and generative AI affordably with Amazon SageMaker, Amazon Bedrock, and Amazon Q.
- Course level: Intermediate
- Duration: 60 minutes
Activities
Enjoy on-demand, self-service training featuring videos and knowledge checks.
Course objectives
In this course, you'll learn:
- The fundamentals and significance of fostering a cost-aware culture.
- Insights into the importance of cost visibility and strategies to enhance it.
- Methods to systematically optimize AWS costs in your organization.
- How cost forecasting supports your journey in consumption-based pricing.
Target audience
This course targets Developers, Architects, FinOps Practitioners/Managers, DevOps Engineers, and IT Managers.
Requisites
Attendees should have fundamental knowledge of core AWS networking, analytics, containers, and AI/ML services. It's also advised to understand AWS Cloud Financial Management solutions and strategies or to have completed Parts 1 and 2 of the AWS Cloud Financial Management Foundations course.
Course outline
Introduction to course content followed by sections on:
- Data Transfer
- Networking
- Analytics
- Containers
- AI/ML and Generative AI
Includes additional resources and information on how to get help.
Provider: AWS Skill Builder
Categories: Generative AI Courses, Amazon Web Services (AWS) Courses