AWS SimuLearn: Use AI Services with Amazon SageMaker

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:
Use AI Services with Amazon SageMaker

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

A global consulting firm processes over 10,000 multilingual client communications and documents daily with current manual processes costing $1.5M annually, showing a 15 percent error rate, and requiring 20+ full-time employees who take up to 48 hours per document. The company wants a comprehensive automated solution that reduces operational costs, improves accuracy, and decreases turnaround time while enhancing global client service delivery.

Learning objectives

Describe how to set up and use Amazon SageMaker AI notebook instances for document processing workflows.
Determine how to integrate multiple AWS AI services by using the Boto3 SDK.
Demonstrate how to use AWS AI services for text extraction, sentiment analysis, language translation, and speech services.
Demonstrate how to run sequential notebook cells for AWS service integration and data processing.