AWS GenAI Developer Pro case studies
AWS GenAI Developer Pro · Put your knowledge to work in context.
The AWS Certified Generative AI Developer – Professional (AIP-C01) is a professional-tier credential for engineers who build generative AI applications on AWS rather than simply calling a foundation model. It suits developers, ML engineers, and solution architects who already know core AWS compute, storage, identity, and networking and now design systems around foundation models. The AWS GenAI Developer Pro case studies are 5 cases and about 3,608 words.
1Streaming Assistant With Long-Context Summarization Budget
A team ships a customer-support assistant on Amazon Bedrock using a foundation model with a 200K-token context window. Each conversation turn currently sends the full transcript plus 12 retrieved policy documents (about 3,000 tokens each).
690 words, about 3 min2RAG Pipeline Returning Confident Wrong Answers Across Tenant Boundaries
A company built a RAG assistant over an internal knowledge base of 400,000 documents stored in Amazon S3, chunked at 1,000 tokens with 200-token overlap, embedded with a general-purpose text embedding model, and stored in an OpenSearch vector index. Documents belong to 30 business units, and access is controlled by department.
782 words, about 4 min3Fine-Tuning a Classifier When the Label Set Keeps Moving
A support organization wants to auto-route incoming tickets into 14 categories using a fine-tuned model. They have 22,000 historical tickets labeled by agents, but labels are noisy (agents disagree), the category taxonomy changed twice in the past year, and 3 categories were added last quarter with only 40 examples each.
731 words, about 4 min4Multi-Agent Assistant Exposing Internal Tools and Sensitive Data
A financial services firm deployed a Bedrock-based assistant that can call internal tools: a customer lookup, a transaction search, and an email-drafting tool. The assistant runs in a single AWS account, uses one IAM role for all tool calls, and stores conversation history in DynamoDB unencrypted at the application layer.
721 words, about 4 min5Cost and Quality Trade-offs in a High-Volume Summarization Service
A media company summarizes 500,000 articles per month. Each article averages 4,000 tokens; summaries average 300 tokens.
684 words, about 3 min