AWS Generative AI Services

Amazon Bedrock, Amazon Q, PartyRock, and SageMaker — the AWS GenAI lineup and when to use each.

9 min read

The lineup

Amazon Bedrock

The core service: serverless API access to foundation models from multiple providers (Anthropic Claude, Meta Llama, Mistral, Amazon Nova/Titan, and more). Includes Knowledge Bases (RAG), Agents, Guardrails, and model evaluation — with your data never used to train the base models.

Amazon Q Business

A ready-made GenAI assistant for employees: connects to company data sources (SharePoint, S3, Salesforce…) and answers questions with citations, respecting user permissions.

Amazon Q Developer

The developer assistant: code suggestions, explanations, debugging, and AWS help in the IDE and console (evolution of CodeWhisperer).

AWS PartyRock

A free, no-code playground built on Bedrock for experimenting with generative AI apps — great for learning, not production.

Amazon SageMaker AI (JumpStart)

For teams wanting more control: deploy and fine-tune open FMs on your own managed infrastructure.

Exam tip

Pick by persona: build a custom GenAI app via API → Bedrock. Give employees a company-knowledge chatbot with zero building → Amazon Q Business. Help developers code → Amazon Q Developer. Experiment for free without code → PartyRock. Full control/custom training infrastructure → SageMaker.

Why Bedrock matters (exam view)

Key points

  • Model choice — one API, many providers; swap models without rewriting your app.
  • Serverless — no infrastructure to manage; pay per token (on-demand) or reserve Provisioned Throughput for steady high volume.
  • Privacy — your prompts and data are not used to train the underlying models; data stays in your AWS environment with IAM, KMS encryption, and PrivateLink support.
  • Built-in tooling — Knowledge Bases (managed RAG), Agents (multi-step actions), Guardrails (content filtering), Model Evaluation.
  • Customization — fine-tuning and continued pre-training create your own private model copy.
Think of it like this

Bedrock is a food hall: many top kitchens (model providers) under one roof, one payment system (AWS billing/IAM), and you can switch cuisines without changing tables. Amazon Q is the finished meal delivered to your desk.

Knowledge check
Question 1 of 4

Which AWS service provides API access to foundation models from multiple providers for building generative AI applications?