Is the AWS Bedrock Academy free?

Yes. The full course is free and includes 25 modules, 52 lessons, 16 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, 16 hands-on labs, and 125+ quiz checks covering the Converse API, Bedrock Guardrails, AgentCore, and multi-model evaluations without requiring active AWS account credentials.

Who is this course for?

Developers, architects, and platform teams building AI systems on AWS Bedrock from MVP to production scale.

What does this Bedrock course cover?

The academy covers runtime inference, prompt engineering, guardrails, knowledge bases, agents, evaluation, observability, security, compliance, resilience, incident response, and production launch discipline.

Cost reporting should be paired with:

Outcome and quality indicators — Cost alone can incentivize harmful shortcuts without quality context.

Shared Services and Chargeback Tutorial | Enterprise Architecture

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1. Platform Team Patterns2. Shared Services and Chargeback

Shared Services and Chargeback

📚 Enterprise Architecture⏱ 10 min⭐ 115 XP

Cost Governance at Scale

Implement chargeback/showback models so each business unit understands AI usage and efficiency trends. Shared AI platforms without cost attribution breed the tragedy of the commons: everyone's workload is someone else's bill.

Attribution Mechanics on AWS

Application inference profiles - create per-team/per-app inference profiles wrapping a base model, tag them, and Bedrock usage becomes attributable in Cost Explorer by tag.
Cost allocation tags - tag every AI resource (profiles, KBs, guardrails, Lambda/ECS) with team, product, env.
Token telemetry - your per-invocation log line ({tenant, model, tokens}) gives finer-grained attribution than billing ever will - join it with pricing to build near-real-time showback.

Showback vs Chargeback

Model	How it works	When
Showback	Visibility reports per BU, no money moves	Start here - drives awareness without budget wars
Chargeback	Costs land on BU budgets	Mature platforms with trusted attribution + stable baselines

Report Efficiency, Not Just Spend

# the monthly view each BU should see
team: support-ai
spend:            $8,420   (▲ 12% MoM)
cost/successful-outcome: $0.031  (▼ 8% - improving!)
token efficiency: 2,140 tok/request (▼ 15% after caching)
quality:          task completion 91% (stable)

Pair cost visibility with quality outcomes to avoid unhealthy optimization pressure - a team "saving" 40% by silently degrading answer quality is a regression wearing a savings badge. Spend rising while cost-per-outcome falls is often success, not a problem.

Budget guardrails beat budget surprises: per-team token budgets with 80% alerts and a documented burst policy catch runaway loops in hours. The worst cost incident is the one discovered on the monthly invoice.

🧪 Knowledge Check

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Why implement AI chargeback/showback?

To hide costs

To improve accountability and spend transparency

To disable optimization

To remove SLOs