Generative AI in Software Testing Training

Simplilearn places generative AI across a testing cycle, from planning and case design to execution and closure. Synthetic data and generated scripts are included in the roughly six-hour sequence. Choose it to examine assistance within an existing quality workflow.

What you will learn

• Draft test cases and planning material with AI assistance.
• Prepare synthetic data for a controlled test scenario.
• Review generated scripts and execution summaries.

Who this suits

Beginners exploring AI-assisted quality work. The provider lists no prerequisite requirement.

Before you enroll

Generated tests and summaries need independent review. Inspect whether a case checks the intended behavior and avoid using private application data in demonstrations.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Tool subscriptions, model API usage and cloud services may cost extra.

Put it into practice

Generate candidate tests for a fictional input validator. Remove redundant cases, add a missing boundary and run the revised suite against a deliberately broken implementation.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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