AI-Driven Software Testing
Why Learn with Litcoder?
8 modules
Python, JavaScript, SQL, C, C++, Java
Lifetime access
Master the art of AI-driven software testing and elevate your code quality using the latest Generative AI tools and strategies
Overview
In the evolving world of software development, ensuring impeccable code quality has become more complex than ever. This course, AI-Driven Software Testing: Mastering Code Quality with Generative AI, empowers learners to leverage advanced AI techniques to enhance testing processes effectively. Designed for both technical and non-technical audiences, it begins by establishing a strong foundation in traditional software testing principles and gradually introduces AI-assisted methods that revolutionize error detection, code analysis, and test case generation.
Throughout the course, you will dive deep into AI-driven unit testing, automated test case creation, debugging workflows, and security analysis using state-of-the-art Generative AI tools. You will explore how AI can help identify edge cases, simulate realistic test scenarios, and pinpoint hidden bugs that may go unnoticed with manual testing. Additionally, the course includes practical examples, real-world use cases, and hands-on exercises that demonstrate how AI-powered testing can be seamlessly integrated into existing development pipelines, optimizing test coverage and reducing testing time.
By the end of this comprehensive program, you will not only understand how to implement AI-generated test cases but also how to assess and refine them to maintain test reliability and accuracy. From mastering AI-assisted fault localization to automating regression tests and identifying security vulnerabilities, this course equips you with the essential skills to elevate your testing workflows and produce high-quality, error-resistant code.
What you will learn
Foundations of AI-Driven Testing
Understand the core principles of software testing and the transformative role of AI in identifying bugs, analyzing code, and generating effective test cases.
Unit Testing with AI
Learn how to leverage AI to automate unit tests, identify boundary cases, and validate function logic with AI-generated test cases.
Test Automation and Optimization
Master AI-driven techniques to create, refine, and optimize automated test suites, ensuring comprehensive coverage.
Debugging and Fault Localization
Implement AI tools to trace bugs, pinpoint faulty code, and receive AI-generated suggestions for fixes and optimizations.
Integration Testing and AI Workflows
Develop skills to test interconnected modules, validate APIs, and simulate user interactions using AI-driven strategies.
Security and Edge-Case Analysis
Identify vulnerabilities, test for security loopholes, and simulate adverse scenarios using AI to strengthen code resilience.
Evaluating AI-Generated Tests
Critically assess AI-generated test cases, refine prompts, and verify test effectiveness to maintain code quality.
Real-World Applications and Case Studies
Apply AI testing techniques in real-world scenarios, using popular GenAI tools within CI/CD pipelines and collaborative workflows.
Modules
Module 1: Foundations of Software Testing in the Age of AI
16 attachments • 9 mins
Topic 1 - What is Software Testing?
Topic 1: Quiz - What is Software Testing?
Topic 2 - Role of Generative AI in Testing
Topic 2: Quiz - Role of Generative AI in Testing
Topic 3 - Types of Code Errors and Bugs
Topic 3: Quiz - Types of Code Errors and Bugs
Topic 4 - Static vs. Dynamic Testing
Topic 4: Quiz - Static vs. Dynamic Testing
Topic 5 - Test Planning and Strategy Overview
Topic 5: Quiz - Test Planning and Strategy Overview
Topic 6 - Code Readability and AI Interpretability
Topic 6: Quiz - Code Readability and AI Interpretability
Topic 7 - Test Cases – The Heart of Testing
Topic 7: Quiz - Test Cases – The Heart of Testing
Topic 8 - Limitations of Traditional Testing
Topic 8: Quiz - Limitations of Traditional Testing
Module 2: Unit Testing with Generative AI
16 attachments • 9 mins
Topic 1 - Understanding Unit Testing
Topic 1: Quiz - Understanding Unit Testing
Topic 2 - AI-Generated Unit Tests
Topic 2: Quiz - AI-Generated Unit Tests
Topic 3 - Mocking and Stubbing with AI
Topic 3: Quiz - Mocking and Stubbing with AI
Topic 4 - Comparing AI-Generated vs. Human-Written Tests
Topic 4: Quiz - Comparing AI-Generated vs. Human-Written Tests
Topic 5 – Boundary and Edge Case Identification via AI
Topic 5: Quiz – Boundary and Edge Case Identification via AI
Topic 6 – Code Coverage Analysis
Topic 6: Quiz – Code Coverage Analysis
Topic 7 – Refactoring Based on Test Feedback
Topic 7: Quiz – Refactoring Based on Test Feedback
Topic 8 – Integrating GenAI with PyTest, JUnit, etc
Topic 8: Quiz – Integrating GenAI with PyTest, JUnit, etc
Module 3: Automated Test Generation and Optimization
16 attachments • 7 mins
Topic 1 – Automated Test Case Generation Basics
Topic 1: Quiz – Automated Test Case Generation Basics
Topic 2 – Equivalence Partitioning and AI
Topic 2: Quiz – Equivalence Partitioning and AI
Topic 3 – Boundary Value Analysis with LLMs
Topic 3: Quiz – Boundary Value Analysis with LLMs
Topic 4 – AI-Powered Assertion Writing
Topic 4: Quiz – AI-Powered Assertion Writing
Topic 5 – Test Data Generation with AI
Topic 5: Quiz – Test Data Generation with AI
Topic 6 – Test Suite Optimization and Deduplication
Topic 6: Quiz – Test Suite Optimization and Deduplication
Topic 7 – Detecting Flaky Tests Using AI
Topic 7: Quiz – Detecting Flaky Tests Using AI
Topic 8 – Using AI for Regression Test Selection
Topic 8: Quiz – Using AI for Regression Test Selection
Module 4: AI-Assisted Debugging and Fault Localization
16 attachments • 15 mins
Topic 1 – What is Fault Localization?
Topic 1: Quiz – What is Fault Localization?
Topic 2 – Using GenAI to Understand Stack Traces
Topic 2: Quiz – Using GenAI to Understand Stack Traces
Topic 3 – Step-by-Step Debugging with AI Guidance
Topic 3: Quiz – Step-by-Step Debugging with AI Guidance
Topic 4 – Fault Injection and Recovery Simulation
Topic 4: Quiz – Fault Injection and Recovery Simulation
Topic 5 – AI Suggestions for Fixes and Rewrites
Topic 5: Quiz – AI Suggestions for Fixes and Rewrites
Topic 6 – Pattern Recognition in Buggy Code
Topic 6: Quiz – Pattern Recognition in Buggy Code
Topic 7 – Interactive Debugging Sessions with AI Chatbots
Topic 7: Quiz – Interactive Debugging Sessions with AI Chatbots
Topic 8 – Postmortem Analysis Using Generative AI
Topic 8: Quiz – Postmortem Analysis Using Generative AI
Module 5: Integration Testing and AI Validation Workflows
16 attachments • 18 mins
Topic 1 – Principles of Integration Testing
Topic 1: Quiz – Principles of Integration Testing
Topic 2 – Testing APIs and Microservices Using AI
Topic 2: Quiz – Testing APIs and Microservices Using AI
Topic 3 – Simulating User Inputs and Responses via AI
Topic 3: Quiz – Simulating User Inputs and Responses via AI
Topic 4 – AI-Enhanced Interface Contract Testing
Topic 4: Quiz – AI-Enhanced Interface Contract Testing
Topic 5 – End-to-End Scenario Testing with GenAI
Topic 5: Quiz – End-to-End Scenario Testing with GenAI
Topic 6 – Handling Dependencies in Integrated Systems
Topic 6: Quiz – Handling Dependencies in Integrated Systems
Topic 7 – Detecting Integration Failures with AI Logs Analysis
Topic 7: Quiz – Detecting Integration Failures with AI Logs Analysis
Topic 8 – Chaining Unit Tests to Integration Tests with AI
Topic 8: Quiz – Chaining Unit Tests to Integration Tests with AI
Module 6: Security and Edge-Case Testing with AI
16 attachments • 9 mins
Topic 1 – Basics of Security Testing in Code
Topic 1: Quiz – Basics of Security Testing in Code
Topic 2 – Using AI to Detect Vulnerabilities
Topic 2: Quiz – Using AI to Detect Vulnerabilities
Topic 3 – AI-Driven Fuzz Testing
Topic 3: Quiz – AI-Driven Fuzz Testing
Topic 4 – Adversarial Input Generation
Topic 4: Quiz – Adversarial Input Generation
Topic 5 – Detecting Data Leaks and Insecure APIs
Topic 5: Quiz – Detecting Data Leaks and Insecure APIs
Topic 6 – Code Smell Detection Using LLMs
Topic 6: Quiz – Code Smell Detection Using LLMs
Topic 7 – Unusual Behavior Simulation via AI
Topic 7: Quiz – Unusual Behavior Simulation via AI
Topic 8 – Validation of Fail-Safes and Error Handlers
Topic 8: Quiz – Validation of Fail-Safes and Error Handlers
Module 7: Evaluating AI-Generated Tests and Enhancing Quality
16 attachments • 14 mins
Topic 1 – Criteria for Good Test Quality
Topic 1: Quiz – Criteria for Good Test Quality
Topic 2 – Testing the Tests: Meta-Validation
Topic 2: Quiz – Testing the Tests: Meta-Validation
Topic 3 – Detecting Hallucinated Test Logic
Topic 3: Quiz – Detecting Hallucinated Test Logic
Topic 4 – Code Review for AI-Generated Tests
Topic 4: Quiz – Code Review for AI-Generated Tests
Topic 5 – Using Multiple AIs for Comparison and Validation
Topic 5: Quiz – Using Multiple AIs for Comparison and Validation
Topic 6 – Consistency Checks Across Test Cases
Topic 6: Quiz – Consistency Checks Across Test Cases
Topic 7 – Improving AI-Generated Prompts for Better Tests
Topic 7: Quiz – Improving AI-Generated Prompts for Better Tests
Topic 8 – Metrics to Track AI Test Effectiveness
Topic 8: Quiz – Metrics to Track AI Test Effectiveness
Module 8: Real-World Applications and GenAI Testing Workflows
16 attachments • 20 mins
Topic 1 – Common AI Testing Tools (ChatGPT, Copilot, etc.)
Topic 1: Quiz – Common AI Testing Tools (ChatGPT, Copilot, etc.)
Topic 2 – GenAI in CI/CD Pipelines
Topic 2: Quiz – GenAI in CI/CD Pipelines
Topic 3 – Using Notebooks and IDE Plugins for Testing
Topic 3: Quiz – Using Notebooks and IDE Plugins for Testing
Topic 4 – Live Case Study: Web App Testing with GenAI
Topic 4: Quiz – Live Case Study: Web App Testing with GenAI
Topic 5 – Live Case Study: API Testing Using AI
Topic 5: Quiz – Live Case Study: API Testing Using AI
Topic 6 – Collaborating with AI in Teams
Topic 6: Quiz – Collaborating with AI in Teams
Topic 7 – Building Your Own AI Testing Toolkit
Topic 7: Quiz – Building Your Own AI Testing Toolkit
Topic 8 – Final Capstone Project: AI Testing Challenge
Topic 8: Quiz – Final Capstone Project: AI Testing Challenge
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About the creator
Why Learn with Litcoder?
Litcoder is a part of Litwork, an ecosystem built to power early-stage careers in tech. At Litcoder, we don’t just teach you how to code — we teach you how to code right. Our team of experts, passionate about quality and impact, brings you real-world training, AI-powered tools, and hands-on challenges that prepare you for what recruiters and the industry actually want.
Join a growing community of learners who are rewriting the rules of coding excellence.
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