Deepskilling — Learn. Build. Research.

Home / Learn / What is AWS Bedrock?

Deepskilling Learn

What is AWS Bedrock?

Bedrock is how many AWS-centric teams ship RAG, agents, and copilots without self-hosting model weights—while still controlling VPC, IAM, and logging.

DEFINITION

Amazon Bedrock is a fully managed service that exposes foundation models from Amazon and third parties through a unified API, with AWS-native security, networking, and tooling for building GenAI applications.

What you get

Model choice via one API, Knowledge Bases for RAG patterns, Agents for tool orchestration, Guardrails for policy filters, and integration with S3, Lambda, OpenSearch, and CloudWatch.

Design considerations

Map IAM least-privilege for invoke and data access; decide sync vs async inference; measure token cost per workflow; evaluate models per task rather than locking to one vendor brand forever.

FAQ

Is Bedrock only Amazon models?

No. Bedrock hosts multiple providers. Availability varies by region and account entitlements—always verify the model list for your region.

Expert

Deepskilling GenAI FacultyProgramme Lead, Generative AI & LLM tracks. Instructors and mentors for LLM Mastery, fine-tuning, Bedrock/Azure OpenAI delivery, and agentic workflow labs.

Compare

Azure OpenAI vs AWS Bedrock

Research citations

  1. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
    Lewis, P. et al. (2020). NeurIPS. Foundational RAG formulation pairing parametric models with non-parametric memory.

Related Deepskilling courses