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Become AI Ready:
Get Certified in AI for Software Testing

Future proof your QA career with the only certification built for the AI-powered era of testing.

Software teams everywhere are adopting AI. The testers who understand how to work with AI, guide it, validate it, and leverage it will define the next decade of quality. This certification helps you become one of them.

Start your journey to become a Certified AI QA Engineer

AI for Software Testing

Why This Certification Matters

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Lead the shift to AI-driven
quality

Learn how modern QA teams use AI agents to plan, generate, execute, and optimize tests. Understand where human judgment shines and where AI accelerates.

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Stand out in your QA
career

Certified testers earn trust faster, grow into specialized roles, and unlock leadership opportunities in automation, SDET pathways, and QA strategy.

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Master real world, hands on
AI tools

AI is transforming the way we test. This certification prepares you to lead the shift to AI-driven quality, stand out in your QA career, and join the AI-powered testing revolution.

What You Will Learn

AI-assisted test design

AI-assisted test design

Using AI to generate test cases, edge cases, negative flows, and multi-step scenarios with higher coverage.

Agentic manual testing

Agentic manual testing

How to collaborate with AI agents for planning, execution, exploration, and reporting.

Prompt engineering

Prompt engineering

Learn how testers can evolve into prompt engineers and stay relevant in the AI era by mastering AI-powered testing techniques such as self-healing, agentic analysis, and intelligent test refinement.

Autonomous test automation

Autonomous test automation

Using AI to create, fix, optimize, and maintain automated tests at scale.

Context engineering

Context engineering

A new essential skill for testers. Learn how to steer AI with precision.

Why You Should Join

QA Engineers and Manual Testers looking to upskill fast

QA Engineers and Manual Testers looking to upskill fast

Automation Engineers and SDETs exploring AI-powered workflows

Automation Engineers and SDETs exploring AI-powered workflows

QA Leads and Managers guiding AI adoption

QA Leads and Managers guiding AI adoption

Anyone who wants to stay relevant in a rapidly changing QA landscape

Anyone who wants to stay relevant in a rapidly changing QA landscape

What You Get

Hands on labs and real project work

Hands on labs and real project work

Downloadable frameworks, templates, and prompt libraries

Downloadable frameworks, templates, and prompt libraries

Exclusive community access

Exclusive community access

A shareable certificate for LinkedIn and resumes

A shareable certificate for LinkedIn and resumes

Course Structure

Duration: 1 hour

Mode: Live online

Foundations of AI in QA

This session provides a comprehensive introduction to AI in QA, preparing you for the hands-on workshop. You will learn to design, create, and enhance automated test cases using AI agents, understanding how to leverage natural language inputs to generate accurate, maintainable tests. The curriculum covers how to execute these tests autonomously and interpret results with AI-driven analytics to identify patterns and diagnose failures efficiently.

You will also develop skills to integrate AI testing workflows with various popular project management and bug tracking tools, enabling seamless automation of reporting and defect tracking. This training equips you with practical expertise in managing the full lifecycle of AI-driven test automation, from creation through execution to detailed bug reporting and continuous improvement based on AI insights.

Duration: 3 hours

Mode: Live online

Workshop: AI-driven QA Integration (Hands-on)

This workshop focuses on applying the concepts and skills learned earlier by connecting popular open-source tools such as JIRA, Jenkins, and GitHub with AI agents to streamline real-world testing workflows. Participants will automate practical tasks using inputs like videos, issue tickets, and test data to reduce manual effort and increase efficiency. Throughout the session, experienced QA professionals specializing in AI testing will provide step-by-step guidance, ensuring participants correctly perform each task and effectively build AI-augmented test cases and reports.

Duration: 3 hours

Mode: Online

Assessment and Certification

The assessment requires participants to integrate Testsigma with various tools such as JIRA, generate test cases, execute, and automate them through hands-on tasks to demonstrate their individual competence. Through this evaluation, participants prove their ability to handle AI-driven test execution and result analysis comprehensively. Successful completion awards the Certificate of Completion as a Certified AI QA Engineer from Testsigma, validating that the participant is fully qualified as an AI quality assurance specialist.

Certified AI QA Excellence Sample

AI for Software Testing

Frequently Asked Questions

The AI in QA Certification Course is completed in one day, totaling 7 hours. This includes 1 hour of training, 3 hours of a hands-on workshop, and a 3-hour assessment.
Yes, the course and certification are completely free. No payment is required; certification is granted based solely on passing the assessment.