Prove your agentic AI skills: Two new microcredentials now available

An AI agent is only as trustworthy as the identity controls and data layer behind it. If you’re the one building those, it’s time to validate — and showcase — exactly what you can do.

Today, two new microcredentials focused on agentic AI are now available: AWS Securing Agent Identities Demonstrated and AWS Databases for Agentic AI Demonstrated. Each one validates your hands-on ability to diagnose real issues and implement solutions in a live AWS environment, under time pressure, with no hints.

These microcredentials are free to access on AWS Skill Builder. No subscription required.

What’s new

AWS Securing Agent Identities Demonstrated

Prove you can harden identity and access across a fleet of agentic AI workloads. You’ll provision workload identities for self-hosted agents, enforce tag-based access control on identity management, secure inbound access with scoped JWT authorization, choose the right authentication method per caller (SigV4 vs. JWT), migrate agents to production-grade JWT identity verification, and establish audit trails for token operations.

AWS services covered: Amazon Bedrock AgentCore, Amazon Cognito, AWS Identity and Access Management (IAM), AWS CloudTrail, Amazon CloudWatch, AWS Systems Manager

Ideal for: Cloud Security Engineers and Solutions Architects securing agentic AI workloads on AWS

AWS Databases for Agentic AI Demonstrated

Prove you can build and troubleshoot the data layer that powers agentic AI. You’ll configure Amazon Aurora PostgreSQL and Amazon DynamoDB for agent access and memory, set up pgvector and Amazon Bedrock Knowledge Bases for document retrieval, configure MCP servers to debug agent database interactions, and optimize the agent’s database queries.

AWS services covered: Amazon Aurora PostgreSQL, Amazon DynamoDB, Amazon Bedrock, AWS Lambda, Amazon CloudWatch, AWS Secrets Manager

Ideal for: Database Solutions Engineers, Database Engineers, Solutions Architects, and AI/ML Engineers working with the data layer of agentic AI applications on AWS

How it works

Each microcredential is a hands-on, timed lab assessment. You work in a live AWS environment to solve realistic challenges. There are no multiple-choice questions. You either fix the problem or you don’t.

When you pass, you earn a digital badge through Credly that you can share on LinkedIn, your resume, or with your team.

Why Microcredentials

AWS Certifications validate what you know. Microcredentials validate what you can do. They complement each other: certifications prove breadth of knowledge across a domain, while microcredentials prove you can deliver hands-on in specific, high-demand skill areas.

These two agentic AI microcredentials join the existing portfolio, which includes: