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AWS has launched three new microcredentials that
validate hands-on capability across the full data analytics stack. These place candidates in live AWS environments under
timed, realistic conditions, proving what someone can do, not just what they know.
Microcredentials complement AWS Certifications by adding domain-specific, hands-on proof. They're freely
accessible - no AWS Skill Builder subscription required.
AWS Data Streaming Demonstrated
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Validates skills in diagnosing and fixing real-time streaming infrastructure.
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Work with Amazon Kinesis Data Streams, Amazon MSK, and Amazon Data Firehose
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Troubleshoot real-time ingestion, event streaming, and schema-driven format conversion
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Prove ability to keep data flowing reliably at scale
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AWS Data Lakehouse Demonstrated
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Validates skills in fixing and restoring solutions across a lakehouse architecture.
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Work with Amazon Athena, AWS Glue, Apache Spark, and Amazon Data Firehose
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Fix schema mismatches, configure fine-grained access controls, and maintain data processing pipelines
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Prove ability to build and maintain a production data lakehouse
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AWS Data Visualization Demonstrated
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Validates skills in building, securing, and troubleshooting analytics dashboards and reporting layers.
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Work with Amazon Athena, Amazon Redshift Serverless, and Amazon QuickSight
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Fix ingestion failures from schema drift, build calculated metrics with ML-powered forecasting
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Configure row-level and column-level security, and publish executive dashboards
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How Your Teams Can Use This
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Validate Project Readiness
Team members prove they can operate in the exact data domain your next project requires - before the project starts.
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Complement Certifications
Pair an AWS Certified Data Engineer - Associate with a Lakehouse or Streaming microcredential to show both broad knowledge and hands-on execution.
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Target Skill Gaps
Deploy specific microcredentials to teams working on streaming pipelines, lakehouse architectures, or BI dashboards to validate readiness.
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Zero-Cost Proof Points
All three are freely accessible - no subscription required. Roll them out across your analytics team with no budget overhead.
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At a Glance
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Detail
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Information
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Format
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Hands-on, timed lab assessment in a live AWS environment
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Access
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Freely accessible - no AWS Skill Builder subscription required
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Duration
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90 - 140 minute timed assessments
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Audience
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Data Engineers, Analytics Engineers, BI Analysts, Solutions Architects, Cloud Engineers
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Badge
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Digital badge issued upon successful completion via Credly
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Full Microcredential Portfolio
No subscription required -
microcredentials are freely accessible to all learners. Digital badges are issued via Credly upon successful completion.
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