Who is this course for?

This course is ideal for QA engineers, software testers, and automation engineers looking to enhance their skills by incorporating AI into their testing practices. It’s also suitable for anyone interested in learning how AI can streamline and improve software testing, from beginners to advanced professionals in the software development and testing fields.

How long does it take to complete the course?

The duration of the course will vary depending on your pace, but the course is designed to be completed in a structured manner with several detailed video lessons. On average, it may take approximately 10-12 hours to complete the entire specialization, assuming you’re dedicating focused time to watch the videos and engage with the hands-on exercises.

Can I preview a course before enrolling?

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

When will I have access to the lectures and assignments?

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

What will I get when I enroll?

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

GenAI for QA - Masterclass in Testing & Automation

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GenAI for QA - Masterclass in Testing & Automation

Instructor: Packt - Course Instructors

Included with

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9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Master the integration of AI tools like ChatGPT and Claude in QA processes.
Design and implement scalable web automation frameworks using AI.
Apply AI to generate and execute functional test cases for applications.
Enhance your API testing capabilities by leveraging AI for automation.

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There are 9 modules in this course

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will dive deep into how GenAI is transforming Quality Assurance (QA) and automation in software testing. From understanding the fundamentals of AI in QA to advanced applications like building web automation frameworks with AI, you'll learn to integrate cutting-edge AI tools and techniques to improve your testing efficiency. The course is structured to start with the essentials of setting up AI assistants like ChatGPT, Claude, and Google Bard for various QA tasks. As you move forward, you'll learn about prompt engineering principles and apply them to functional testing, building automation frameworks, and API testing. Each module is designed to teach you practical skills, from generating test cases to debugging and automating repetitive tasks. This course is ideal for QA professionals, software developers, and anyone involved in testing and automation. Whether you’re looking to level up your skills or embrace the future of testing with AI, this course will provide you with all the tools you need. There are no strict prerequisites, though a basic understanding of software testing concepts would be helpful. This course is suitable for intermediate learners. By the end of the course, you will be able to set up and integrate AI tools for automating testing tasks, apply advanced prompt engineering techniques, build scalable web automation frameworks, and enhance your API testing processes using AI-powered solutions.

In this module, we will introduce you to the world of GenAI and its pivotal role in modern software testing. You will explore why QA needs AI now and how it can significantly improve the speed and accuracy of testing tasks. Additionally, we will outline the core skills and knowledge you’ll acquire in this course for integrating AI into your testing practices.

What's included

2 videos1 reading

In this module, we will walk you through setting up and utilizing different AI assistants like ChatGPT, Claude, and Google Bard. These tools will help streamline your testing workflows, making tasks like test case generation, bug reporting, and documentation automation faster and more efficient.

What's included

3 videos1 assignment

In this module, we will explore the basics of prompt engineering and its importance in obtaining precise AI outputs for QA tasks. You will gain both fundamental and advanced skills in crafting prompts, optimizing AI’s responses for more accurate and efficient testing results.

What's included

2 videos1 assignment

In this module, we will focus on how to apply AI to functional testing, from automating test creation to generating detailed test cases for web and mobile applications. You’ll also learn how AI can aid in crafting a comprehensive test strategy and improving test coverage and reporting.

What's included

6 videos1 assignment

6 videos Total 48 minutes

Functional Testing With AI 11 minutes
How To Write Test Strategy With AI 10 minutes
Use AI To Write Rest API Test Cases 12 minutes
Creating Mobile App Test Cases with AI 6 minutes
Generating Test Data Using AI Tools 6 minutes
Writing Better Bug Reports with AI 3 minutes

1 assignment Total 15 minutes

Functional Testing With AI - Assessment 15 minutes

In this module, we will guide you through building robust web automation frameworks with AI. You will learn how to set up frameworks, identify UI elements, refactor code for maintainability, and create data-driven tests. AI will also help you in retrying failed tests and generating advanced reports.

What's included

6 videos1 assignment

6 videos Total 63 minutes

Project Setup and Framework Design with AI 15 minutes
Locating and Identifying UI Elements with AI 10 minutes
Refactoring Code into Framework Structure with AI 7 minutes
Creating Data-Driven Tests with AI 13 minutes
Retry Failed Test Cases With AI 10 minutes
Advanced Reporting With AI 8 minutes

1 assignment Total 15 minutes

Building Web Automation Frameworks with AI - Assessment 15 minutes

In this module, we will introduce you to the Rest Assured framework for API testing and demonstrate how AI can streamline the setup and implementation of your API testing framework. You will also learn how AI can assist in debugging and generating insightful logs and reports for API tests.

What's included

3 videos1 assignment

In this module, we will dive into AI-powered pair programming tools like GitHub Copilot. You’ll learn how to leverage these tools to automatically generate test classes, parameterize test data, and transform manual test cases into automated scripts. Additionally, we will explore AI-assisted debugging and auto-documentation techniques.

What's included

5 videos1 assignment

In this module, we will guide you through setting up and using a private LLM for offline use. You’ll learn how to configure AI tools to remain secure and fully independent of external servers, enabling you to maintain full control over your testing tasks and sensitive data.

What's included

2 videos1 assignment

In this module, we will introduce you to TestRigor, an AI-first testing tool that automates test creation and execution. You’ll learn how to set up TestRigor for web and API testing, leverage data-driven testing, and take advantage of its self-healing capabilities for low-maintenance, reliable automation.

What's included

7 videos3 assignments

7 videos Total 57 minutes

Overview of AI-First Testing Tools 10 minutes
TestRigor Introduction And Setup 7 minutes
Getting Help & Docs for TestRigor 3 minutes
Web App Testing With TestRigor 10 minutes
Data Driven Testing With TestRigor 6 minutes
Self-Healing Tests with TestRigor (Low-Maintenance Testing) 8 minutes
REST API Testing With TestRigor 14 minutes

3 assignments Total 90 minutes

Full Course Practice Assessment 15 minutes
AI-First Automation With TestRigor - Assessment 15 minutes
Full Course Assessment 60 minutes

Instructor

Packt - Course Instructors

Packt

1,566 Courses 441,543 learners

Offered by

Packt

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Frequently asked questions

GenAI for QA is a specialized focus on integrating Generative AI (GenAI) tools into the software testing and automation process. This approach is crucial in the current landscape because AI-powered tools can drastically improve the speed, accuracy, and efficiency of Quality Assurance tasks, such as test case generation, bug detection, and automation. As software development becomes more complex and the demand for faster delivery increases, using AI in QA processes is becoming a game-changer.

This Course focuses on teaching how to use GenAI tools like ChatGPT, Claude, Google Bard, and TestRigor to automate and optimize software testing processes. It covers a range of topics from setting up AI assistants for testing to developing complex automation frameworks, using AI for functional testing, API testing, and debugging, and implementing self-healing tests. The content is designed to give learners hands-on skills and knowledge in integrating AI into their QA workflows.

After completing this Course, you'll be able to effectively leverage AI tools to automate various QA tasks. You’ll know how to set up and use AI assistants like ChatGPT and Claude, generate test cases for functional, mobile, and API testing, build AI-powered automation frameworks, and use tools like TestRigor to streamline testing processes. Additionally, you'll have the skills to integrate AI into your existing workflows to improve efficiency, accuracy, and reduce manual intervention.

To get the most out of this course, a basic understanding of software testing and Quality Assurance concepts is recommended. Familiarity with functional and API testing, as well as basic programming or scripting skills, would also be beneficial. However, even if you're new to AI, the specialization covers the essentials to help you grasp how to integrate GenAI into your testing tasks.