AWS SimuLearn: Set Up an ML Environment

via AWS Skill Builder

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Overview

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: Set Up an ML Environment

In this AWS SimuLearn assignment, you will review a real-world scenario helping a fictional customer design a solution on AWS. After the design is complete, you will build the proposed solution in a guided lab within a live AWS Console environment. You will gain hands-on experience working with AWS services, using the same tools technology professionals use to construct AWS solutions.

How does it work?

AWS SimuLearn is powered by generative AI that enables you to have life-like conversations with AI customers. Your responses to the AI are evaluated to help develop your soft skills like communication and problem solving. As you provide the correct responses, a quiz agent will test you, and you can also get help from Dr. Newton, the helper agent, when you get stuck. Once you provide all of the correct responses for the solution, you will move to building it and validating it in a live AWS Console environment.

AWS SimuLearn: Set Up an ML Environment - Services Used

Set Up an ML Environment

AWS Lambda, Amazon S3, Amazon SageMaker

University: Provider: AWS Skill Builder

Categories: Artificial Intelligence Courses, Machine Learning Courses, Cloud Computing Courses, Generative AI Courses, Data Science Courses, Amazon SageMaker Courses, Amazon S3 Courses, AWS Lambda Courses

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