This course is preparation for CT-GenAI exam, it covers version 1.0Course contains questions divided between all the syllabus chapters with explanation. You can verify your knowledge for every type of content provided to pass exam. Every question at the beginning has section number. You can easily go back to syllabus if you are not sure if answer is correct. All training is divided in 6 sections. All the questions are sorted according to syllabus. There is no jumping between sections. There are practice tests divided between main sections.Course is sorted like syllabus sections:Introduction to Generative AI for Software Testing1.1 Generative AI Foundations and Key Concepts1.1.1 AI Spectrum: Symbolic AI, Classical Machine Learning, Deep Learning, and Generative AI1.1.2 Basics of Generative AI and LLMs1.1.3 Foundation, Instruction-Tuned and Reasoning LLMs1.1.4 Multimodal LLMs and Vision-Language Models1.2 Leveraging Generative AI in Software Testing: Core Principles1.2.1 Key LLM Capabilities for Test Tasks1.2.2 AI Chatbots and LLM-Powered Testing Applications for Software TestingPrompt Engineering for Effective Software Testing2.1 Effective Prompt Development2.1.1 Structure of Prompts for Generative AI in Software Testing2.1.2 Core Prompting Techniques for Software Testingand other
What you'll learn
understand key concepts of Generative AI
apply Generative AI principles in software testing
develop effective prompts for AI systems
review and assess knowledge through practice exams