Generative Ai In Software Testing: Practical & Hands-On

Master Generative AI in Software Testing with Practical, Hands-On Techniques for Beginners to Advanced Experts.

What you'll learn

Understand the fundamentals of Generative AI and its applications in software testing, including automated test case generation and test data creation

Master advanced testing techniques, such as continuous testing, fuzz testing, and integrating Generative AI into CI/CD pipelines

Implement hands-on AI-driven testing strategies, improve test coverage, and identify edge cases using practical tools and frameworks

Analyze real-world case studies to apply AI-powered testing in projects like mobile apps, games, and enterprise applications

Requirements

Basic understanding of software testing concepts (helpful but not mandatory)

Familiarity with programming fundamentals in any language (optional for hands-on exercises)

A computer with internet access for hands-on activities and tools

No prior experience with Generative AI or advanced testing techniques is required — this course is beginner-friendly and starts from the basics!

Description

Unlock the power of Generative AI to revolutionize software testing! This comprehensive, hands-on course is designed for beginners and professionals alike, guiding you step-by-step to master AI-driven testing strategies. Learn how to generate test cases, create synthetic test data, and optimize test coverage using cutting-edge AI techniques. Dive into advanced topics like continuous testing, dynamic test case generation, and integrating AI with CI/CD pipelines.Explore real-world applications with detailed case studies, from mobile apps to game testing. Understand the critical role of human testers in AI-powered environments and tackle ethical and legal implications, including data privacy and regulatory compliance.By the end of this course, you’ll not only understand the future of software testing but also gain practical skills to implement AI-driven testing in real-world projects. Join now to become an expert in Generative AI for software testing!Key Topics Covered:AI-driven test strategies: exploratory testing, automated test case generation, and fuzz testing.Generating synthetic data and edge cases for enhanced test coverage.Continuous testing, multi-agent systems, and integration with CI/CD.Real-world case studies and practical applications.Ethical, legal, and human-centered implications in AI-powered testing.Enroll today and take your software testing skills to the next level with Generative AI!

Overview

Section 1: Introduction to Software Testing and Generative AI

Lecture 1 Overview of software testing

Lecture 2 Introduction to generative AI

Lecture 3 Benefits of using generative AI in testing

Lecture 4 Challenges in implementing generative AI in testing

Lecture 5 Hands-On Exercises:

Section 2: Testing Strategies with Generative AI

Lecture 6 Fuzz testing with generative AI

Lecture 7 Model-based testing using generative AI

Lecture 8 Hands-On Exercises:

Section 3: Generating Test Data

Lecture 9 Generating Synthetic Data for Software Testing

Lecture 10 Improving Test Coverage with Generative AI

Lecture 11 Hands-On Exercises:

Section 4: Advanced Topics in Generative AI Testing

Lecture 12 Continuous testing with generative AI

Lecture 13 Multi-agent testing using generative AI

Lecture 14 Dynamic test case generation techniques

Lecture 15 Hands-On Exercises:

Section 5: Case Studies and Practical Applications

Lecture 16 Practical application: Implementing generative AI in real-world projects

Lecture 17 Industry trends and future prospects

Lecture 18 Hands-On Exercises:

Section 6: Role of Human Testers in Generative AI Testing

Lecture 19 Collaboration between AI and human testers

Lecture 20 Training human testers for generative AI testing

Lecture 21 Ensuring quality and reliability in testing processes

Lecture 22 Hands-On Exercises:

Section 7: Ethical and Legal Implications

Lecture 23 Ethical guidelines for using AI in testing

Lecture 24 Regulatory compliance in generative AI testing

Lecture 25 Transparency and accountability in AI-powered testing

Lecture 26 Hands-On Exercises:

Section 8: Future of Software Testing with Generative AI

Lecture 27 Trends in generative AI testing

Lecture 28 Emerging technologies in testing

Lecture 29 Predictions for the future of software testing

Lecture 30 Opportunities and challenges in the AI-powered testing domain

Software Testers and QA Professionals: Looking to enhance their skills with AI-driven testing techniques and improve efficiency,Developers and Engineers: Interested in integrating AI-powered testing strategies into their development workflows,Beginners in Software Testing: Aspiring professionals seeking to build a strong foundation in modern testing practices using Generative AI,AI and Tech Enthusiasts: Curious about the practical applications of Generative AI in real-world scenarios,Project Managers and Team Leads: Aiming to understand how AI can optimize software testing processes and improve team collaboration