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Duration 21 hours
Course Outline
Introduction to AI for QA
- Defining Artificial Intelligence
- Machine Learning vs Deep Learning vs Rule-based Systems
- The evolution of software testing through AI
- Core benefits and challenges of AI in QA
Data and ML Basics for Testers
- Distinguishing between structured and unstructured data
- Understanding features, labels, and training datasets
- Supervised and unsupervised learning concepts
- Basics of model evaluation (accuracy, precision, recall, etc.)
- Exploring real-world QA datasets
AI Use Cases in QA
- Generating test cases with AI
- Predicting defects using ML
- Test prioritization and risk-based testing
- Visual testing via computer vision
- Log analysis and anomaly detection
- Applying Natural Language Processing (NLP) to test scripts
AI Tools for QA
- Overview of AI-enabled QA platforms
- Utilizing open-source libraries (e.g., Python, Scikit-learn, TensorFlow, Keras) for QA prototypes
- Introducing LLMs in test automation
- Creating a simple AI model for test failure prediction
Integrating AI into QA Workflows
- Assessing the AI-readiness of your QA processes
- Combining Continuous Integration with AI: embedding intelligence into CI/CD pipelines
- Designing intelligent test suites
- Managing AI model drift and retraining cycles
- Ethical considerations in AI-powered testing
Hands-on Labs and Capstone Project
- Lab 1: Automate test case generation using AI
- Lab 2: Build a defect prediction model using historical test data
- Lab 3: Use an LLM to review and optimize test scripts
- Capstone: End-to-end implementation of an AI-powered testing pipeline
Requirements
Participants are expected to have:
- At least 2 years of experience in software testing or QA roles
- Proficiency with test automation frameworks (e.g., Selenium, JUnit, Cypress)
- Basic programming skills, ideally in Python or JavaScript
- Hands-on experience with version control and CI/CD tools (e.g., Git, Jenkins)
- No previous AI/ML experience is necessary, but a mindset of curiosity and openness to experimentation is essential
Testimonials (3)
The possibilities of postman and future use of it.
Gordana Gacic - SEE Digital D.O.O.
Course - API Testing with Postman
hands on exercises, easier to retain information
ashley bolen - Insurance Corporation of British Columbia
Course - Test Automation with Selenium
Key topics can be discussed and agreed upon with the trainer in advance. Relaxed and pleasant atmosphere during the seminar days.
