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:
Create an Enterprise Knowledge Assistant
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
The Sales department lacks quick access to historical and current sales data, leading to varying interpretations and answers to similar sales queries. This results in longer resolution times for sales reps to report to upper management the products that they should focus on selling and which one's are becoming popular.
Learning objectives
- Describe the key features and capabilities of Amazon Bedrock.
- Determine how to create and configure an Amazon Bedrock knowledge base.
- Compare a text-to-text model and a text-to-vector model.
- Explain the concept of Retrieval Augmented Generation (RAG).
AWS SimuLearn: Create an Enterprise Knowledge Assistant
Services used
Amazon Bedrock, Amazon OpenSearch Service, Amazon S3