Bedrock Academy

Yes, 100% free. No sign-up, no credit card. You get all 25 modules, 52 lessons, 52 hands-on labs, and 125+ quizzes with local progress save.

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.

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.

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.

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.

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.

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.

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.

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).

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%.

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.

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.

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.

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.

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.

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.

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.

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.