Enrolment
This course is currently free to enrol in.
Public course
Enterprise AI — Course 14: Testing and Verification for Software Developed with AI Agents
Meaningful software test design, review of generated suites and judgment of release evidence through realistic cases and an optional runnable companion.
software testingAI agentsverificationpytesttest strategyaccessibilitycontinuous integration
By Telari Labs
Enterprise AICourse 14 of 25
Learning on Telari
Created by Telari Labs, delivered through Telari
The course creator controls the material and assessment standards. Telari provides structured lessons, practice, feedback against those standards and a record of your progress. See how Telari works.
AI access
The first managed lesson is included on Free. Continue with Plus or your own supported API key; premium assessments and certificates may require Plus.
Audio
No reviewed lesson audio is currently advertised for this course.
Lesson list
- Test strategy and expected behaviourIndependent expectations, consequence-based priorities and suitable test boundaries.
- Framework, fixtures and environment setupRepeatable test discovery, fixture lifecycles and controlled environment dependencies.
- Unit tests and meaningful assertionsMeaningful assertions, invalid-input obligations and the limits of simulated dependencies.
- Integration and database testsIntegration evidence for persistence, transactions and supported migrations.
- API contracts and compatibilityProvider and consumer evidence for interface meaning and compatibility.
- End-to-end and acceptance testsUser journeys that connect interaction with the required application outcome.
- Inputs, boundaries and generated casesRepresentative input classes, boundary cases and independent generated-test properties.
- Permissions, state and failure sequencesPermissions, retries, overlapping requests and explicit failure sequences.
- Security checks within the frameworkComplementary source, dependency and behaviour checks with bounded security claims.
- Performance and resilience checksWorkload models, acceptance conditions and recovery evidence under impairment.
- Accessibility and usable behaviourExecuted keyboard and accessibility observations with clear coverage limits.
- Coverage and the strength of testsCoverage, selected defect detection and risk-based priorities for stronger tests.
- Reviewing agent-generated testsReview of generated expectations, changed assertions and retained test protection.
- Continuous integration and suite maintenanceContinuous integration evidence, intermittent results and maintained regression ownership.
- AI components and external servicesDeterministic application tests and separately scoped evidence about external services.
- Why a mature suite still cannot guarantee correctnessIntegrated verification gaps, rerun evidence and bounded release recommendations.
- Software Verification Evidence ReviewIntegrated test-design and evidence judgments under changed requirements and results.