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Duration 21 hours
Course Outline
Introduction to AI for QA
- Defining Artificial Intelligence
- Distinguishing Machine Learning, Deep Learning, and Rule-based Systems
- The trajectory of AI in software testing
- Primary advantages and hurdles of AI in QA
Data and ML Basics for Testers
- Exploring structured and unstructured data
- Understanding features, labels, and training sets
- Supervised versus unsupervised learning
- Basics of model evaluation (accuracy, precision, recall, etc.)
- QA-specific real-world datasets
AI Use Cases in QA
- Automated test case generation via AI
- ML-driven defect forecasting
- Test prioritization and risk-based approaches
- Visual testing utilizing computer vision
- Log analysis and anomaly identification
- Applying NLP to test scripts
AI Tools for QA
- Survey of AI-enabled QA platforms
- Leveraging open-source libraries (e.g., Python, Scikit-learn, TensorFlow, Keras) for QA prototypes
- Integrating LLMs into test automation
- Developing a basic AI model for predicting test failures
Integrating AI into QA Workflows
- Assessing AI-readiness in QA processes
- Embedding intelligence into CI/CD pipelines through continuous integration
- Crafting intelligent test suites
- Oversight of AI model drift and retraining schedules
- Ethical aspects of AI-powered testing
Hands-on Labs and Capstone Project
- Lab 1: Automating test case generation with AI
- Lab 2: Creating a defect prediction model from historical test data
- Lab 3: Employing an LLM to review and refine test scripts
- Capstone: End-to-end deployment of an AI-driven testing pipeline
Requirements
Participants are expected to bring the following:
- A minimum of two years of experience in software testing or QA roles
- Proficiency with test automation frameworks (e.g., Selenium, JUnit, Cypress)
- Fundamental programming knowledge, preferably in Python or JavaScript
- Experience with version control and CI/CD tools (e.g., Git, Jenkins)
- No prior AI/ML background is necessary, but a strong curiosity and readiness to experiment are crucial
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.
