From the course: AWS Certified Generative AI Developer - Professional (AIP-C01) Cert Prep

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Extracting text from unstructured documents using Bedrock and Textract (hands-on lab)

Extracting text from unstructured documents using Bedrock and Textract (hands-on lab)

From the course: AWS Certified Generative AI Developer - Professional (AIP-C01) Cert Prep

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Extracting text from unstructured documents using Bedrock and Textract (hands-on lab)

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Extracting data with Bedrock and Textract, hands-on lab. We will use Amazon Bedrock to generate the Python code and Amazon Textract to process the documents. First, we need to ensure we have access to the foundation models. In the past, this was a manual process, but AWS has recently streamlined it. Navigate to the model access page on the bottom left. You will likely see a message stating the model access page has been retired. This is good news. It means serverless models are now automatically enabled the first time we invoke them. However, notice the note about entropic models. Since we are using Cloud, we need to verify we are good to go. Click on the model catalog in the sidebar to verify. Select Atrophic and then Claude 4.5 Sonnet. If you see an orange Open in Playground button, you're ready. If requested, submit the simple use case form. It usually approves instantly. Now, let's set up our environment. Navigate to Amazon SageMaker. We'll open SageMaker Studio or a notebook…

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