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AWS AI Learning Course

Read one exam-domain lesson, open the matching syllabus branch, then drill MCQs until the distractors are obvious.

  • Tracks 4 AWS AI paths
  • Lessons 18 Exam-domain modules
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Testing, Validation, and Troubleshooting (11%)

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AWS Certified Generative AI Developer - Professional (AIP-C01)

Testing, Validation, and Troubleshooting (11%)

This lesson turns the official AIP-C01 outline into a short preparation path. Read it once for orientation, then answer the linked MCQs from the syllabus branch before moving to the next module.

What To Master

Evaluate, test, monitor, troubleshoot, and improve GenAI applications in production.

Fast Prep Tasks

  1. Test output quality, safety, grounding, latency, and integration behavior.
  2. Troubleshoot hallucinations, stale retrieval, permission failures, and tool errors.
  3. Build validation loops that feed remediation and release decisions.

AWS Services To Recognize

  • Amazon Bedrock Evaluation
  • Amazon CloudWatch
  • AWS X-Ray
  • AWS CloudTrail
  • SageMaker AI
  • AWS Step Functions

Scenario Traps

  • Testing only golden prompts instead of adversarial, regression, and production-like cases.
  • Attributing poor answers to the model when retrieval, data freshness, or tool failures are the cause.

Speed Drill

After this lesson, open the matching syllabus branch and answer MCQs until you can explain why the wrong options are attractive but not best. Then run a short quiz with this module plus one previous weak module.

Official Source

Use the AWS exam guide as the source of truth for final scope checks: AIP-C01 exam guide.