Course Detail

AI-Assisted Quality Assurance

Overview
Course Details
Course Fee

Course Overview

Enhance your testing skills with AI! Learn to create effective prompts, improve QA workflows, and use AI for test planning, execution, and defect management. Understand how to validate outputs for accuracy and optimise processes to deliver reliable, customer-focused products efficiently.

Mode of Delivery

Self-paced course (Online Learning)

Course Description

In today's rapidly changing software testing landscape, it is essential for professionals to stay up-to-date with the latest technological advancements. The AI-Assisted Quality Assurance course is designed for testing engineers who are eager to expand their skill set with Large Language Models (LLMs) and LLM-based AI tools like ChatGPT, Gemini, or Claude.

This course takes a practical approach to mastering LLMs and integrating them into your testing workflows. It provides a balanced mix of theoretical knowledge, supported by real-life project examples, along with extensive hands-on experience. The course covers all parts of the Software Testing Life Cycle (STLC) and equips testing engineers with the knowledge and skills required to confidently use AI tools within existing software testing processes, thereby enhancing testing efficiency.

All practical tasks are based on real testing situations and automatically evaluated using an AI-based tool in Autocode, providing quick feedback.

Introduction to the Course

Introduction

Getting Started With Conversational Chatbots
Using the CREATE Framework

Module 1: Requirement Analysis

Introduction to Software Testing Life Cycle (STLC)
Enhancing Requirement Analysis With Conversational Chatbots
Practical Task

Module 2: Test Planning

Leveraging Generative AI in Test Planning Activities
Practical Tasks

Module 3: Test Case Development

Test Case Creation
Automation Script Development
Test Case Review
Test Data Creation
Deliverable Preparation
Practical Tasks

Module 4: Test Environment Setup

AI-Assisted Test Environment Setup
Practical Tasks

Module 5: Test Execution

Optimising Test Execution Phase With AI Support
Practical Task

Module 6: Test Cycle Closure

Leveraging Generative AI Tools for Efficient Test Cycle Closure
Practical Task

Module 7: Extras

Using OpenAI API With Postman
EliteA: a Tool for LLM Asset Management and Collaboration

Final Quiz

Learning Outcomes

The primary goal of this course is to provide knowledge and practical skills on how AI may speed up the execution of tasks that testing engineer faces daily and improve their average performance.

After you complete the course, you should be able to:

Identify and effectively address challenges when working with LLMs, ensuring smooth integration into existing workflows and processes.
Use LLM-based conversational chatbots to enhance everyday tasks in the testing process, identifying areas where they can save time and reduce repetitive work.
Recognise the limitations and capabilities of conversational chatbots in addressing various testing tasks, from requirement analysis to result documentation.
Create and refine complex prompts using real-life examples to generate effective solutions with AI tools.

Who Should Attend

Testing engineers, QA specialists who want to improve testing quality, defect management, and productivity using AI tools.

Professionals interested in integrating generative AI into testing processes and automating routine QA tasks.

Assessment

Final Quiz

Duration

(5 Hrs)

Registration Fee

A Registration Fee of $10.90 (Incl. of 9% GST) will be collected upon course registration, and It is non-refundable.
* In the event of any class cancellation by Eduquest, the Registration fee will be refunded

Miscellaneous Fees (Incl. of 9% GST)

Admin Fee for Absent and Reschedule: $32.70

Admin Fee for Make-up Session for Partial Absent, Appeal & Re-assessment: $54.50

Miscellaneous Fees refer to any non-compulsory fees which the trainees pay only when applicable. Such fees are normally collected by Eduquest when the need arises.

Fees indicated are per pax and not per proforma invoice or invoice.

Schedule

More Schedule

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This Course Includes:

Duration: (5 Hrs)

Language: English

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