ISTQB · Topic 1 of 17
Introduction to Artificial Intelligence
Context-setting chapter (~120 min). AI vs conventional systems, AI categories, GenAI foundations, hardware + frameworks, regulations.
7 lessons700 questions
What this topic covers
- 01AI vs Conventional Systems and the Spectrum of AI360m
- 02Types of AI Technologies and Machine Learning360m
- 03Generative AI Concepts360m
- 04Hardware, Hosting, and ML Development Frameworks360m
- 05Regulations and Standards Affecting AI360m
- 06Chapter Review and Practice Questions480m
- 07FPGA and GPU Hardware Accelerators for AI
Other topics in CT-AI — AI Testing
Introduction to AI6 lessonsMachine Learning Overview6 lessonsInput Data Testing6 lessonsML Data6 lessonsMachine Learning Model Testing7 lessonsML Functional Performance Metrics6 lessonsMachine Learning Functional Performance Metrics6 lessonsTesting Generative AI Systems6 lessonsQuality Characteristics for AI-Based Systems4 lessonsTesting AI-Specific Quality Characteristics6 lessonsML Neural Networks and Testing6 lessonsTesting AI-Based Systems Overview6 lessonsTest Environments for AI-Based Systems6 lessonsMachine Learning Development Testing3 lessonsUsing AI for Testing6 lessonsMethods and Techniques for Testing AI6 lessons