Directory / Amazon Web Services

AWS Agentic AI Demonstrated

A free, timed hands-on lab in a live AWS environment where the candidate fixes and extends agents. There are no multiple-choice questions.

What it signals

Practical assessment: Performance-based labs or a practical build. Performance-based timed lab in a live AWS environment with no multiple-choice questions.
Identity assurance: Minimal or undocumented checks. Online via AWS Skill Builder. Proctoring not mentioned in any official source read.
Depth: Foundational. Foundational level.
Experience expected: Under 6 months. AWS says microcredentials suit those with more than 6 months of topic experience - the lowest stated bar above none.
Portability: Mostly vendor-specific. Tasks are specific to Amazon Bedrock tooling.
Verifiability: Public badge or registry. Credly badge issued on passing.

The only AWS AI credential found that is performance-based: no multiple choice, candidate must actually fix and extend agents in a live environment.
Narrow scope (Bedrock agents and guardrails) and short validity (12 months).
Proctoring/identity verification is not documented in the sources read, so treat identity assurance as weaker than a Pearson VUE proctored exam until confirmed.
Other AWS microcredentials exist (Serverless, Application Networking, Incident Response, plus three data analytics ones) but this is the only AI-specific one identified; AWS says more are planned for 2026.

Credly badge issued on passing; also listed in candidate's CertMetrics account under Exam History > Microcredentials.

GenAI apps: Some (10 to 20%). Working with foundation models and guardrails is inherent, but the assessment centres on agents; no weights published, so this is an estimate.
Agents: Core focus (over 35%). The entire assessment is about troubleshooting, integrating and enhancing Bedrock agents.
Classical ML: Not covered. Not covered.
Operations: Touched on (under 10%). Troubleshooting and repair of deployed agents touches operations; estimate.
Data: Not covered. Not covered in the published description.
Responsible AI: Some (10 to 20%). Bedrock Guardrails is one of the two named components; estimate.

Who the provider says it is for. Builders who want to prove practical ability to implement and troubleshoot agentic AI on AWS.

Format: hands-on exam lab in a live AWS-provisioned environment; no multiple-choice questions; timed, no hints, no pauses
Delivery: Online via AWS Skill Builder. Proctoring not mentioned in any official source read.
Code or hands-on work: Yes - entirely hands-on: candidate works in a live AWS environment to fix and extend agents. Extent of code writing versus console configuration not verified.
Prerequisites: None stated
Recommended experience: AWS FAQ: microcredentials are 'generally appropriate for those with >6 months of experience working with AWS Services in that topic'.
Renewal: Valid 12 months; can be renewed (retaken) starting 9 months after passing. Failed attempts require a 25-day wait.
Price notes: AWS blog of April 23, 2026: microcredentials are free and no longer require a Skill Builder subscription.

These details were not available from an official source at the time of research.

Sources (4)