Amazon Bedrock documentation hub — Foundation models, features, customization, security, and pricing.
Overview
Amazon Bedrock is AWS’s fully managed service for building generative AI applications with foundation models from leading AI companies.
Quick Links:
- Amazon-Bedrock - What is Bedrock, why use it, available models
- Bedrock-Features - Knowledge Bases, Agents, core capabilities
- Bedrock-Fine-Tuning - Model customization and fine-tuning
- Bedrock-Guardrails - Content filtering and safety policies
- Bedrock-Security - IAM, encryption, compliance
- Bedrock-Monitoring - CloudWatch metrics and logging
- Bedrock-Pricing - On-demand, provisioned throughput, costs
Core Topics
Foundation Models
- Access to Claude, Llama, Titan, Mistral, Cohere, and more
- On-demand and provisioned throughput options
- Model versioning and lifecycle management
Customization
- Fine-tuning with your data (Llama, Titan, Cohere)
- Continued pre-training for domain adaptation
- Prompt engineering and system prompts
Advanced Features
- Knowledge Bases: RAG for grounding responses in your data
- Agents: Multi-step task automation
- Guardrails: Content filtering, PII redaction, topic blocking
Operations
- CloudWatch monitoring and metrics
- Security best practices (IAM, encryption, VPC)
- Cost optimization strategies
Access Requirements
🔴 AWS account required for all Bedrock features 🟡 Free tier available for some foundation models (limited)
Study Path
- Start: Amazon-Bedrock - Understand what Bedrock is
- Features: Bedrock-Features - Learn core capabilities
- Customization: Bedrock-Fine-Tuning - Model adaptation
- Safety: Bedrock-Guardrails - Responsible AI
- Security: Bedrock-Security - IAM and compliance
- Operations: Bedrock-Monitoring - Observability
- Costs: Bedrock-Pricing - Pricing models