---
url: "https://xcademia.com/courses/ai-assisted-testing"
title: "AI-Assisted Testing"
description: "Learn AI-assisted testing to generate test cases, automate scripts, and analyse results in a mentor-led course with practical scenarios."
publishedAt: "2026-03-23T10:09:08.964149+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "CLD-0165"
level: Practitioner
duration_days: "2"
track: "QA & Software Testing"
category: "Cloud & DevOps"
credential_tier: tier1
price_gbp: "1799"
---

# AI-Assisted Testing

> Use AI to generate test cases, automate scripts, and analyse testing results efficiently. Learn through mentor-led sessions and practical scenarios to accelerate software testing workflows.

## Overview

AI is transforming the way software testing is designed, executed, and maintained. This course introduces how AI-powered tools can be used to improve test coverage, reduce manual effort, and enhance the speed of delivery. Learners will explore how AI fits into modern QA and DevOps practices.

Through mentor-led sessions and practical scenarios, participants will learn how to generate test cases from requirements, create automation scripts, and analyse test outputs using AI tools. The course also covers regression detection, intelligent test selection, and improving test reliability using AI insights.

By the end of the programme, learners will be able to integrate AI into their testing workflows, optimise test strategies, and improve overall software quality. This prepares participants for modern QA roles that leverage AI for efficiency and scalability.

## Prerequisites

- Basic software testing knowledge
- Familiarity with automation concepts
- Understanding of development workflows

## What you will learn

- Design AI-assisted testing strategies
- Implement AI-generated test cases
- Analyse test results using AI insights
- Evaluate regression and defect patterns
- Communicate AI testing outcomes effectively
- Implement AI-driven QA workflows

## Skills you will gain

- AI-driven test generation
- Test automation enhancement
- AI test analysis
- Regression detection techniques
- CI/CD testing integration
- QA workflow optimisation

## Career progression

- QA Engineer
- Test Automation Engineer
- Software Developer in Test
- Quality Analyst

## Curriculum

1. **Module 1: Foundations of AI-Assisted Testing**
   - Role of AI in software testing
   - AI tools overview
   - Benefits and limitations
2. **Module 2: AI for Test Case Generation**
   - Generating test cases from requirements
   - Improving test coverage
   - Test data generation
3. **Module 3: AI for Test Automation**
   - Writing scripts with AI assistance
   - Enhancing automation frameworks
   - Maintaining test scripts
4. **Module 4: AI for Test Analysis**
   - Analysing test results
   - Identifying defects and patterns
   - Regression detection techniques
5. **Module 5: Integrating AI into QA Workflows**
   - CI/CD integration with AI tools
   - Intelligent test selection
   - Continuous testing strategies
6. **Module 6: Responsible AI in Testing**
   - Bias and limitations in AI outputs
   - Validation and verification
   - Governance considerations
7. **Module 7: Practical Scenarios & Projects**
   - End-to-end AI-assisted testing workflows
   - Real-world case studies
   - Optimising test processes

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Do I need AI experience for this course?**

No, the course introduces AI tools in the context of testing workflows.



**Will I learn automation in this course?**

Yes, the course covers AI-assisted automation script generation and management.



**Which AI tools are used?**

Common AI assistants and testing tools are introduced during practical sessions.



**Is this suitable for beginners in testing?**

Basic testing knowledge is recommended for this practitioner-level course.



**Can this help in DevOps roles?**

Yes, AI-assisted testing is increasingly important in DevOps and CI/CD pipelines.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CLD-0165 |
| Duration | 2 days |
| Level | Practitioner |
| Track | QA & Software Testing |
| Category | Cloud & DevOps |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [AI-Assisted Testing](https://xcademia.com/courses/ai-assisted-testing). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/ai-assisted-testing
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt