Cloud Quest Generative AI Practitioner: Issue with "Generate Code for a webpage" Lab

This appears to be a common issue with AWS Cloud Quest labs, where the lab environment doesn't always align perfectly with the current AWS console experience or validation requirements.

For the "Generate Code for a webpage" lab in the Cloud Quest Generative AI Practitioner path, here are some troubleshooting steps you can try:

1. Double-check that you're following all steps exactly as outlined in the instructions, as the validation system may be looking for specific actions or outputs.

2. Verify you're using the correct model as specified in the instructions. Some users have reported issues when the validation system expects one model (like Llama) but they're using another (like Deepseek).

3. Make sure you're in the correct AWS Region (typically US East - N. Virginia) as specified in the lab instructions.

4. Try restarting the lab completely (not just repeating the steps), as this might reset any underlying configuration issues.

5. If you're encountering permission errors, this could be due to the restricted permissions in the Cloud Quest lab environment.

If you continue to experience issues after trying these steps, you may need to contact AWS Cloud Quest support, as this could be a bug in the lab environment that requires their attention. Sometimes these issues get resolved after being reported, as other users have noted that labs suddenly started working after previous attempts failed.
Sources
Unable to complete AWS Cloud Quest Generative AI Architect task due to SageMaker Studio domain requirement | AWS re:Post
Cloud Quest Gen. AI Architect Task: Issue with "Create Trustworthy LLMs with a Vector Database" Lab | AWS re:Post
AWS Skill Builder solution help - AWS SimuLearn: Get Started with Generative AI | AWS re:Post