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Test AI assisted testing tools

  • Duration: 7 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The AI-Assisted Testing Tools (Test.ai / TestGrid / LambdaTest with AI) course equips QA and engineering teams with hands-on skills to modernise testing using AI-enabled capabilities like self-healing tests, smart element detection, codeless automation, and analytics-driven quality insights. Learners practice building reliable automated tests, running them across browsers and devices, and integrating results into CI/CD pipelines for continuous quality.The course focuses on operational outcomes: fewer flaky tests, reduced maintenance, faster regression cycles, and clearer release readiness—so teams ship with confidence, not crossed fingers.

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Course Details

  • Understand how AI improves test automation reliability (self-healing, smart locators, anomaly detection)
  • Create automation faster using codeless/low-code workflows where appropriate
  • Reduce flaky failures through stabilisation patterns, retries, and root-cause triage workflows
  • Scale execution across browsers/devices with cloud testing and parallel runs
  • Improve defect detection with visual validation and intelligent assertions
  • Operationalise QA with CI/CD integrations, reporting dashboards, and governance practices
  • Beginner-friendly: no prior AI experience required
  • Helpful (not mandatory): familiarity with QA fundamentals (test cases, regression testing, bug lifecycle)
  • Helpful (not mandatory): exposure to automation basics (selectors, assertions, basic scripting, CI/CD concepts)
  • Best suited for QA engineers, SDETs, developers, QA leads, product teams, and DevOps/release teams
  • Explain AI-assisted testing concepts (self-healing, smart discovery, prioritisation, analytics)
  • Build automated tests using AI-enabled/codeless/low-code approaches
  • Improve test stability using flake control and resilient locator strategies
  • Run tests at scale across browsers/devices and interpret results effectively
  • Integrate automated testing into CI/CD pipelines with actionable reporting
  • Establish a practical governance model (test ownership, review gates, release readiness signals)
  • AI-assisted testing landscape: where AI helps and what still needs human judgement
  • Test design for automation: stable assertions, maintainable flows, and reusable components
  • Codeless/low-code automation workflows: faster creation with guardrails
  • Self-healing tests: locator resilience, UI change tolerance, and maintenance reduction
  • Cross-browser/device execution: parallel runs, environment management, and reliability controls
  • Visual & functional validation: catching UI regressions and behavioural issues
  • Flaky test management: stabilisation patterns, retries, quarantines, and root-cause workflows
  • CI/CD integration: triggers, pipelines, gates, and reporting for release readiness
  • Reporting & analytics: trends, failure clustering, and quality signals that matter
  • Governance & best practices: standards, ownership, access control, and responsible adoption
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

Who should take this course?+

QA engineers, SDETs, developers, and QA leaders who want faster automation, lower maintenance, and more reliable testing outcomes using AI-assisted tooling.

Do I need coding experience?+

Not mandatory. Many AI-assisted tools support codeless/low-code automation, but basic scripting knowledge helps for advanced workflows and CI/CD.

Will AI eliminate manual testing?+

No. AI reduces repetitive effort and maintenance; human testing remains critical for exploratory testing, UX, and high-risk scenario validation.

What can I achieve after completing this course?+

You’ll be able to implement AI-assisted automation workflows, stabilise flaky suites, scale cross-browser/device testing, and operationalise quality signals for confident releases.