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Duration 21 hours
Course Outline
Introduction to AI for QA
- Defining Artificial Intelligence
- Comparing Machine Learning, Deep Learning, and Rule-based Systems
- The evolution of software testing driven by AI
- Primary benefits and challenges of AI in QA
Data and ML Fundamentals for Testers
- Distinguishing between structured and unstructured data
- Understanding features, labels, and training datasets
- Overview of supervised and unsupervised learning
- Basics of model evaluation (accuracy, precision, recall, etc.)
- Exploration of real-world QA datasets
AI Applications in QA
- Generating test cases using AI
- Predicting defects with ML
- Test prioritization and risk-based testing strategies
- Visual testing via computer vision
- Analyzing logs and detecting anomalies
- Applying NLP for test script development
AI Tools for QA
- Survey of AI-enabled QA platforms
- Using open-source libraries (e.g., Python, Scikit-learn, TensorFlow, Keras) for QA prototypes
- Introduction to LLMs in test automation
- Creating a simple AI model to forecast test failures
Integrating AI into QA Workflows
- Assessing the AI-readiness of your QA processes
- Embedding AI into CI/CD pipelines for continuous integration
- Designing intelligent test suites
- Handling AI model drift and retraining cycles
- Ethical implications of AI-powered testing
Practical Labs and Capstone Project
- Lab 1: Automating test case generation with AI
- Lab 2: Developing a defect prediction model from historical test data
- Lab 3: Leveraging an LLM to review and optimize test scripts
- Capstone: Implementing an end-to-end AI-powered testing pipeline
Requirements
It is expected that participants possess:
- At least two years of experience in software testing or QA roles
- Proficiency with test automation frameworks (e.g., Selenium, JUnit, Cypress)
- Fundamental programming skills, ideally in Python or JavaScript
- Practical experience with version control and CI/CD systems (e.g., Git, Jenkins)
- While prior AI/ML background is not mandatory, a strong curiosity and eagerness to experiment are highly recommended
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.
