This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey.
In this course, you'll learn about some of the challenges experienced when migrating and modernizing VMware workloads, or when modernizing .NET or mainframe applications to AWS, and how Amazon Q Developer can help.
You will learn about the steps to take in each of these three work streams to accomplish your goals using Amazon Q Developer's transformation capabilities.
- Course level: Fundamental
- Duration: 30 minutes
Note: The transformation capabilities of Amazon Q Developer are in preview release, and are subject to change. Also, Amazon Q Developer transformation capabilities for Java is out of scope for this course.
Activities
- None
Course objectives
In this course you will learn the following:
- Common migration and modernization challenges and solutions.
- The benefits of using Amazon Q Developer to simplify and expedite migrations and modernization efforts.
- The supported workloads that can be transformed by Amazon Q Developer:
- .NET modernization
- Mainframe modernization
- VMware migration.
- How Generative AI can help, and the names and functions of AI Agents that do the heavy lifting
- High level stepwise processes for each of the three transformation paths
Intended audience
- Customers
- Partners
- Amazonians
Prerequisites
We recommend that attendees of this course have:
- Fundamental level understanding of the AWS Cloud
- Fundamental level understanding of VMware
- Fundamental level understanding of mainframes
- Fundamental level understanding of .NET development
Course outline
- Introduction
- Modernizing .NET applications from Windows to Linux
- Modernizing Mainframe applications
- Migrating VMware applications to EC2
- Resources
