AWS has announced a new skills validation program called Microcredentials. These are more practical and lightweight approaches for validating knowledge than a full, comprehensive certification exam. It’s rewarding to be able to go beyond theoretical knowledge and prove what you’ve actually learned. AWS Certifications and Microcredentials complement each other; validating both your deep technical knowledge and hands-on skills.
This is how it works
The exam labs are in a live AWS-provisioned environment, similar to regular lab/SimuLearn tasks on AWS Skill Builder. During the course of 90 minutes candidates are presented with a set of challenges to be achieved by practical implementation in the AWS Console (ClickOps, no IaC). You will have to diagnose issues and implement solutions on your own, there are no hints or guidance provided. The exam lab cannot be paused or restarted, so if you have to quit you need to start over again. Not much different than an actual certification exam. Candidates failing to meet the passing score objective can go for a re-take after 25 days.
As of November 2025 the available training options are:
Microcredential Preview Experience
This microcredential validates your ability to configure and connect basic AWS services in hands-on scenarios. Key focus areas include S3 static hosting, API Gateway connections, Lambda integrations, and DynamoDB storage. This is not a real microcredential exam lab. This is a trial version you can use to familiarize yourself with the interface.
I recommend you start here to become familiar with the concept to set yourself up for success for the actual lab exam.
AWS Skill Builder link: https://skillbuilder.aws/learn/JBTFY8M6S8/microcredential-preview-experience/YJFR7KHKR3
AWS Agentic AI Demonstrated
AWS Agentic AI Demonstrated is a hands-on exam lab designed to help you validated your AWS skills in the Agentic AI domain.
Objectives
- Troubleshoot and repair supervisor and specialist Bedrock Agents
- Troubleshoot and repair an Amazon Bedrock knowledge base
- Integrate and fix a Bedrock Agent
- Enhance Bedrock Agent capabilities
- Integrate Bedrock Guardrails with a Bedrock Agent
- Connect a web application chat client with a Bedrock Agent
AWS Skill Builder link: https://skillbuilder.aws/learn/32Y249P272/aws-agentic-ai-demonstrated/TTAJ5WKYTS
AWS Serverless Demonstrated
AWS Serverless Demonstrated is a hands-on exam lab designed to help you validate your AWS skills in the Serverless domain.
Objectives
- Configure an AWS Lambda function
- Deploy a REST API
- Configure a Step Functions state machine
- Design and implement an event-driven system
- Optimize AWS Lambda functions for various scenarios
- Configure a CI/CD pipeline for serverless applications
- Configure and analyze monitoring and telemetry
AWS Skill Builder Link: https://skillbuilder.aws/learn/XV3B4RGA8Q/aws-serverless-demonstrated/BYD5SH8R5C
Tip: Completing the Serverless Knowledge Badge Readiness Path course first can be helpful (you will also get a badge upon completing a multiple-choice assessment).
Result
Passing the microcredential lab exams will unlock some nice new Credly badges you can share with your manager, colleagues and on social media to prove the skills you’ve acquired.
My reference: https://www.credly.com/badges/bc214808-641d-4fb2-b196-e78b530af563
My reference: https://www.credly.com/badges/80b6282b-026e-482e-bc14-9aa801536435
Good luck!