AWS SimuLearn is an online learning experience that pairs generative AI-powered
simulations with hands-on practice to help individuals learn how to translate
business problems into technical solutions through the simulation of dialog between
a customer and a technology professional.
AWS SimuLearn:
Get Started with Generative AI
In this AWS SimuLearn assignment, you review a real-world scenario, helping a fictional customer design a solution on AWS. After the design is completed, you build the proposed solution in a guided lab within a live AWS Management Console environment. You gain hands-on experience working with AWS services, using the same tools technology professionals use to construct AWS solutions.
How it works
AWS SimuLearn is powered by generative AI to help develop your soft skills, such as communication and problem-solving, in life-like conversations with AI-generated customers. An AI quiz agent evaluates your conversation responses, and an AI helper agent, Dr. Newton, is available when you get stuck. After each solution-building conversation, you build and validate the solution in a live AWS Management Console environment.
Simulated business scenario
AnyCompany Software wants to empower their staff to learn prompt engineering techniques for generative AI. By improving the speed and quality of their software development, the company aims to stay ahead in the competitive tech market and deliver superior products to their clients.
Learning objectives
- Explain how to deploy an LLM model by using Amazon SageMaker JumpStart.
- Demonstrate how to use the Amazon SageMaker Python SDK to deploy a model in a Jupyter notebook.
- Explain how to use prompt engineering techniques to improve model response.
AWS SimuLearn: Get Started with Generative AI
Services used
Amazon SageMaker
