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 top providers (Anthropic, Meta, Mistral, Amazon Nova/Titan) 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 all foundation models on Bedrock. It standardizes system prompts, structured tool use, and multi-turn message history, eliminating vendor-specific payload differences.

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 modern, modular agent platform featuring serverless runtimes with sub-second cold starts, zero-boilerplate MCP Gateway tool integration, cross-session episodic memory, and the AgentCore Consent Portal.

How do Bedrock Guardrails enforce safety and PII redaction?

Bedrock Guardrails apply customizable safety policies across both user inputs and model outputs. They block toxic content, enforce Automated Reasoning hallucination checks, and anonymize sensitive PII (emails, SSNs, credit cards) using AWS-managed entity detectors.

What retrieval strategies are supported in Bedrock Knowledge Bases?

Bedrock Knowledge Bases support dense vector retrieval using Titan or Cohere embeddings, BM25 keyword lexical search, native HYBRID search combining vector and sparse rankings, and cross-encoder neural reranking.

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

Cross-region inference profiles automatically distribute traffic across multiple regional AWS data centers (e.g., us-east-1, us-west-2, us-east-2), pooling quotas dynamically to absorb traffic spikes without requiring custom client retry code.

What are Amazon Nova models on Bedrock?

Amazon Nova is AWS's flagship model family, including Nova Micro (ultra-fast text), Nova Lite (cost-effective multimodal), Nova Pro (balanced intelligence), and Nova Premier (frontier reasoning), engineered for high-throughput enterprise workloads.

How does prompt caching operate on Amazon Bedrock?

Prompt caching stores frequent prefix tokens in memory for subsequent requests. Cache hits reduce input token billing by up to 90% and lower invocation latency by over 80% on large system prompts, codebases, and legal documents.

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 is Web Search compatible with at general availability?

The OpenAI Responses API — Web Search integrates through a standard tool-use interface and is compatible with the OpenAI Responses API on Bedrock.

When should you reach for Web Search instead of a Knowledge Base?

When you need current, public web information to ground a response — Web Search grounds responses in current public web knowledge; proprietary or contractual documents still belong in a Knowledge Base.

Web Search: Built-In Server-Side Grounding Tutorial | Tool Use and Orchestration

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1. Function and API Tool Patterns2. Retries, Idempotency, and Timeouts3. Web Search: Built-In Server-Side Grounding

Web Search: Built-In Server-Side Grounding

📚 Tool Use and Orchestration⏱ 9 min⭐ 85 XP⌨ Hands-on lab

Grounding Without a Third-Party Search Vendor

Amazon Bedrock now offers Web Search (general availability, August 2026) - a built-in, server-side tool that lets a model ground its answers in current web knowledge entirely inside AWS, with zero data egress to an external search provider. Previously, adding web grounding meant onboarding a third-party search API, managing separate keys and billing, building custom retrieval orchestration, and running a security review for every vendor. Web Search removes all of that: it is a single parameter on an existing API call.

How It Works

Amazon operates the web index and knowledge graph - tens of billions of documents, refreshed continually, informed by Amazon's experience running Alexa+, Amazon Quick, and Kiro.
Bedrock performs semantic snippet extraction server-side rather than returning raw pages, keeping results context-efficient for the model's context window.
It integrates through the same standard tool-use interface you already use for custom tools, and is compatible with the OpenAI Responses API on Bedrock.
A single API call returns a grounded response with citations - Bedrock manages the entire search lifecycle server-side.

Web Search vs. a Custom Retrieval Tool

Aspect	Custom search tool (self-integrated)	Bedrock Web Search
Vendor onboarding	Required per provider	None - built into Bedrock
Data egress	Requests leave AWS to the vendor	Zero egress - stays inside your AWS environment
Security review	New review per external API	Covered by your existing Bedrock/AWS review
Integration effort	Custom orchestration code	One parameter on an existing API call

At GA, Web Search is available in US East (N. Virginia), US East (Ohio), and US West (Oregon), for OpenAI models (GPT-5.4, GPT-5.5, and the GPT-5.6 family) via the Responses API.

Key idea: Web Search is a grounding tool, not a knowledge base replacement - use it for current-events/freshness gaps, and keep Knowledge Bases + RAG for your own proprietary or contractual documents.

⌨ HANDS-ON LABExecute Agent Invocation with Built-In Web Grounding

⭐ +150 XP

Invoke Bedrock AgentCore with built-in server-side web search grounding for live factual verification.

1Invoke agent with session state enabling web search.

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

What is the main advantage of Bedrock's built-in Web Search tool over a self-integrated third-party search API?

It is always more accurate

No vendor onboarding, no external API keys, and zero data egress from AWS

It replaces Knowledge Bases entirely

It requires no IAM permissions at all