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Bedrock Academy

Master AWS Bedrock from foundations to production. Learn inference APIs, agents, guardrails, RAG, evaluation, security, observability, and enterprise deployment patterns with hands-on labs.

Bedrock RuntimeConverse APIGuardrailsKnowledge BasesAgentsRAGEvaluationCost Engineering
25
MODULES
51
LESSONS
16
HANDS-ON LABS
109
QUESTIONS
HOSTCLIENTTOOLSAUTHSSESERVEROUTPUT

AWS Bedrock Training Modules

Bedrock Foundations

Access, Regions, and IAM

Inference APIs

Prompt Engineering on Bedrock

Safety and Guardrails

Knowledge Bases and RAG

Embeddings and Vector Search

Agents for Bedrock & AgentCore

Tool Use and Orchestration

Bedrock Flows

Model Selection Strategy

Fine-Tuning and Customization

Evaluation Frameworks

Observability and Tracing

Cost Engineering

Performance and Throughput

Security and Data Protection

Compliance and Governance

Bedrock with Lambda and APIs

Bedrock with Containers

MLOps and PromptOps

Multi-Region Resilience

Enterprise Architecture

Incident Response for AI

Capstone: Production Bedrock Stack

Frequently Asked Questions

Is the AWS Bedrock Academy free?

Yes, 100% free. No sign-up, no credit card. You get all 20 modules, 40 lessons, 12 hands-on labs, and quiz-based XP progression with local progress save.

What is Amazon Bedrock?

Amazon Bedrock is AWS's managed foundation model platform. It provides API access to multiple model providers plus AWS-native security, governance, and production controls.

What topics does the AWS Bedrock Academy cover?

This academy covers Bedrock runtime and Converse APIs, prompt engineering, guardrails, knowledge bases, embeddings, agents, flows, eval frameworks, observability, cost engineering, security, compliance, resilience, and production launch operations.

Is this course beginner friendly?

Yes. It starts with fundamentals and progressively moves to advanced and expert production architecture. The path is designed for both builders shipping first MVPs and teams hardening enterprise AI systems.

Does it include practical labs?

Yes. Labs focus on real implementation decisions: access checks, inference calls, agent/tool design, eval scorecards, SLOs, incident response, and launch readiness.

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