Professional skills

AI-Assisted Software Testing

Build practical skills in test strategy data and automation scope and ai-assisted test generation and review.

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THE BIG PICTURE

About this course

AI-Assisted Software Testing develops your understanding of test strategy data and automation scope. The learning path connects ai-assisted test generation and review with api interface and regression pipelines, then brings these ideas together through quality measurement maintenance and risk. Use the course outline to discuss the scope that fits your role, current experience, and team objectives. A suitable training plan should connect each concept to a relevant work scenario, give you opportunities to explain decisions, and make time for questions and feedback. For certification-related topics, this listing describes training or study support, not an official credential or a claim of authorized training-partner status. Check the current awarding-body requirements and exam version with your advisor. Contact MindClick for the delivery format, teaching language, instructor profile, duration, dates, and a written fee proposal. These details are confirmed for your individual or team inquiry rather than assumed from another provider’s program.

What you’ll learn

Explain test strategy data and automation scope in a practical work context.
Make informed choices about aI-assisted test generation and review.
Recognize common pitfalls in API interface and regression pipelines.
Connect quality measurement maintenance and risk to a practical action plan.

A CLEAR PATH FORWARD

Recommended learning plan

4-day learning plan

Learn through a small working application, with focused discussions, practical exercises and work you can take away.

Learning route: 4 recommended days
Practical work: 4 guided activities
Finish with: A practical review

Take a look at each day. Open a section to see the topics and practical work.

Day 1Test strategy data and automation scope

What we’ll cover

Test strategy data
Automation scope

Put it into practice

Map the workflow, implement or sketch an automation step and plan how to recover when it fails.

You’ll take away
A workflow and recovery checklist

Day 2AI-assisted test generation and review

What we’ll cover

AI-assisted test generation
Review

Put it into practice

Investigate a failing or underperforming example and select checks that distinguish symptoms from causes.

You’ll take away
An evidence-based diagnostic checklist

Day 3API interface and regression pipelines

What we’ll cover

API interface
Regression pipelines

Put it into practice

Map the workflow, implement or sketch an automation step and plan how to recover when it fails.

You’ll take away
A workflow and recovery checklist

Day 4Quality measurement maintenance and risk

What we’ll cover

Quality measurement maintenance
Risk

Put it into practice

Assess a scenario, rank the risks and choose controls that can be evidenced and monitored.

You’ll take away
A prioritized risk-and-control register

Bring it all together

Run the application, explain the design choices and show the tests that protect its key behavior.

Prerequisites

Bring a laptop and be ready to read and edit code. Advanced courses build on the language or platform fundamentals.

Confirmed batch starts

Dates confirmed by MindClick. These are start dates, not full course timetables. Session hours, duration, fees, instructors, language, seats and classroom venues are not yet specified.

Choose your country & month Enrollment & payment

Confirmed by MindClick · MC-13551