Is the AWS Bedrock Academy free?

Yes. The full course is free and includes 25 modules, 52 lessons, 52 labs, and quiz-based progression with no sign-up required.

How is Infinity AWS Bedrock Academy different from AWS Skill Builder?

Unlike AWS Skill Builder which often gates advanced hands-on labs behind paid subscriptions or AWS Builder ID logins, Infinity Tech Stack's AWS Bedrock Academy is 100% free, ungated, and browser-first with zero sign-up required. It includes 25 modules, 52 lessons, 52 hands-on labs, and 125+ quiz checks covering the Converse API, Bedrock Guardrails, AgentCore, and multi-model evaluations without requiring active AWS account credentials.

What is Amazon Bedrock and how does its architecture operate?

Amazon Bedrock is AWS's fully managed foundation model service providing serverless inference across frontier providers (Amazon Nova & Nova 2, Anthropic Claude 5.x, Meta Llama 4, DeepSeek-R1/V3, Mistral) via a unified Converse API, backed by AWS IAM, KMS encryption, and VPC PrivateLink isolation.

What is the Amazon Bedrock Converse API and why should you use it over InvokeModel?

The Converse API provides a unified request and response specification across foundation models on Bedrock. It standardizes system prompts, cachePoint prompt caching, guardrailConfig enforcement, structured tool use, and multi-turn message history without vendor-specific payload drift.

How does Amazon Bedrock AgentCore differ from Classic Bedrock Agents?

Classic Bedrock Agents entered maintenance mode (closed to new customers on July 30, 2026), succeeded by Amazon Bedrock AgentCore. AgentCore is AWS's modular, framework-agnostic platform (native to the open-source Strands Agents SDK, LangGraph, and CrewAI) featuring isolated microVM Runtime sessions, MCP Gateway tool endpoints with Cedar policy controls, episodic Memory, Identity & Consent Portal, Browser, Code Interpreter, and OpenTelemetry Observability.

How do Bedrock Guardrails enforce safety and PII redaction?

Bedrock Guardrails apply customizable safety policies across both user inputs and model outputs (or standalone via ApplyGuardrail). They filter multimodal text and image toxicity, enforce mathematical Automated Reasoning checks, score RAG Contextual Grounding, block prompt attacks, and mask or block sensitive PII.

What retrieval strategies are supported in Bedrock Knowledge Bases?

Bedrock Knowledge Bases support GraphRAG powered by Amazon Neptune Analytics for multi-hop reasoning, dense and HYBRID (vector + BM25) search across OpenSearch Serverless and Aurora pgvector, Amazon Kendra GenAI Index connectors, multimodal parsing via Bedrock Data Automation (BDA), and cross-encoder reranking with Cohere Rerank 3.5 and Amazon Rerank 1.0.

How does Bedrock Cross-Region Inference prevent 429 throttling exceptions?

Cross-region inference profiles (us., eu., apac., and global. prefixes) automatically route traffic across regional AWS capacity pools to eliminate localized throttling, with global. profiles offering ~10% cost savings. Newer frontier models (such as Claude 5.x, Nova Premier/Nova 2, Llama 4, and DeepSeek-R1) require inference profile IDs for on-demand invocation.

What are Amazon Nova models on Bedrock?

Amazon Nova is AWS's native foundation model family spanning Nova Micro, Nova Lite, Nova Pro, and Nova Premier, creative/voice models Nova Sonic (speech-to-speech), Nova Canvas (image), and Nova Reel (video), plus the 2026 Nova 2 reasoning and voice lineup (Nova 2 Lite, Nova 2 Pro, Nova 2.5 Sonic).

How does prompt caching operate on Amazon Bedrock?

Prompt caching uses cachePoint checkpoints in the Converse API (with a 5-minute default or optional 1-hour TTL) to keep static prefixes—system prompts, tool schemas, and reference documents—in memory, cutting cached input token costs by up to 90% and lowering latency by over 80%.

What is Provisioned Throughput (PT) and when should it be purchased?

Provisioned Throughput allocates dedicated model units to guarantee steady-state inference performance and strict SLA compliance for mission-critical production applications with predictable traffic volumes.

How does Bedrock model evaluation work for custom and foundation models?

Bedrock Model Evaluation supports automated algorithmic scoring across metrics like accuracy, robustness, and toxicity, as well as human-in-the-loop review teams via Amazon SageMaker Ground Truth integration.

How are Bedrock API calls secured with AWS KMS and PrivateLink?

Customer Managed Keys (CMKs) provide customer-controlled envelope encryption for model weights and Knowledge Base vector stores. AWS PrivateLink VPC endpoints keep inference traffic strictly within the customer's private virtual cloud.

How does Bedrock integrate with AWS Lambda and Amazon API Gateway?

Bedrock agents invoke AWS Lambda functions to execute enterprise actions, while Amazon API Gateway provides secure HTTP/REST endpoints with Cognito JWT authentication, usage tiers, and DDoS protection.

What telemetry and observability tools are available for Bedrock?

Amazon Bedrock streams runtime metrics (latency, token consumption, error codes) directly to Amazon CloudWatch, writes complete invocation audit records to CloudWatch Logs or S3, and integrates with AWS X-Ray for distributed agent tracing.

How can organizations implement chargeback and cost allocation for Bedrock?

Organizations apply AWS Cost Allocation Tags (e.g. CostCenter, Team, Environment) to inference profiles and application roles, analyzing usage via AWS Cost Explorer and establishing budget guardrails with AWS Budgets.

What chaos testing and disaster recovery patterns apply to Bedrock?

Resilience patterns include Route 53 Application Recovery Controller (ARC) regional failover, AWS Fault Injection Simulator (FIS) synthetic throttling injection, and circuit breakers with fallback response caches.

Can I earn an official certificate upon completing AWS Bedrock Academy?

Yes! Completing all 25 modules unlocks the official Infinity AWS Bedrock AI Architecture Mastery Certificate with your cryptographic verification ID and one-click LinkedIn badge sharing.

Which API gives the most model-agnostic portability across providers on Bedrock?

Converse API — Converse API uses one unified schema across every Bedrock-supported model family.

What is Amazon Bedrock Mantle?

Bedrock's latest inference engine that serves the Responses and Chat Completions APIs — Bedrock Mantle is the inference engine behind the OpenAI-compatible Responses and Chat Completions API surfaces, and is increasingly used to serve newer model families such as Grok and Gemma on Bedrock.

Five Ways to Call Bedrock: Converse, Invoke, Messages, Responses, Chat Completions — Inference APIs

← Back to Dashboard

1. InvokeModel and Streaming Basics2. Converse API Patterns3. Five Ways to Call Bedrock: Converse, Invoke, Messages, Responses, Chat Completions

Five Ways to Call Bedrock: Converse, Invoke, Messages, Responses, Chat Completions

📚 Inference APIs⏱ 11 min⭐ 75 XP⌨ Hands-on lab

Bedrock Now Speaks Every Provider's Native API

Beyond Converse and InvokeModel, Amazon Bedrock exposes provider-native API surfaces so you can point existing SDKs at Bedrock with minimal rewrites:

Converse API - AWS-native, model-agnostic, unified message schema across every supported provider.
InvokeModel / InvokeModelWithResponseStream - Lowest-level access with per-provider request/response bodies.
Messages API - Anthropic's native schema for Claude 5.x (us.anthropic.claude-sonnet-5-5, us.anthropic.claude-opus-5-5), callable via the standard anthropic SDK pointed at Bedrock.
Responses API - OpenAI's native schema for models such as openai.gpt-oss-120b / openai.gpt-oss-20b and OpenAI SDK workflows (mirroring GPT-6 Astra / Sol 6.1 client patterns), callable via the standard openai SDK.
Chat Completions API - OpenAI-compatible schema for teams migrating existing Chat Completions integrations.

Bedrock Mantle: The Engine Behind Responses and Chat Completions

Amazon Bedrock Mantle is Bedrock's high-efficiency inference engine, built for price-performance, and it serves the Responses and Chat Completions API surfaces. As new non-Anthropic, non-Amazon model families arrive on Bedrock they increasingly launch on Mantle - for example xAI Grok 4.7 and Google DeepMind's Gemma 4, alongside OpenAI's GPT-OSS family - with support for tool calling, structured output, and response streaming.

Key idea: Choose Converse for portability across model families, or a provider-native API when you want zero-friction reuse of an existing Anthropic/OpenAI SDK integration.

⌨ HANDS-ON LABStream Tokens with ConverseStream API

⭐ +150 XP

Consume chunked server-sent token events from the Amazon Bedrock ConverseStream API.

1Execute streaming invocation to receive real-time delta tokens.

lab-sandbox — simulated environment

INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$

OBJECTIVE 1 / 1 — type "hint" if stuck

🧪 Knowledge Check

Press 1-4 to select1 of 3

Why would a team use the Messages or Responses API on Bedrock instead of Converse?

They perform better on all models

To reuse an existing Anthropic/OpenAI SDK integration with minimal code changes

Converse is deprecated

They are the only APIs with streaming