AWS Skill Builder solution help - AWS SimuLearn: Get Started with Generative AI

I understand you're having trouble with the AWS SimuLearn: Generative AI Practitioner module, specifically with model selection during validation.

The AWS SimuLearn Generative AI Practitioner learning plan is designed to provide hands-on experience with various generative AI models through immersive customer simulations. Each simulation presents different business scenarios where you apply generative AI fundamentals in real-world contexts.

Regarding your specific issue with the model selection (Deepseek vs. Llama), this could be related to the validation process in the hands-on lab environment. AWS SimuLearn supports multiple models through Amazon Bedrock, including models from Meta (Llama 3 and Llama 3.2) and Deepseek (Deepseek-R1).

The validation system might be expecting you to use a specific model for the exercise. In the AWS SimuLearn environment, you should receive feedback on your technical recommendations and implementation approach. If the validation is still showing Deepseek instead of Llama, you might need to check if there are specific requirements in the exercise instructions about which model to use, or if there might be a step you missed in switching between models.

I'd recommend carefully reviewing the module instructions again, particularly any sections about model selection or configuration. The SimuLearn platform is designed to provide immediate feedback on both technical recommendations and your communication approach, so look for any guidance it might be providing about the expected model configuration.
Sources
Introducing AWS SimuLearn: Generative AI Practitioner | AWS Training and Certification Blog
New courses and certification updates from AWS Training and Certification in July 2024 | AWS Training and Certification Blog
Supported LLM providers - Generative AI Application Builder on AWS