Generative AI & Agentic AI Practice Tests: 400+ Questions

Are you looking to test and strengthen your knowledge of Generative AI, Agentic AI, and Intelligent Agent Systems?This course provides 400+ carefully designed multiple-choice questions (MCQs) across three comprehensive practice tests covering the foundations of modern AI systems. Whether you are a student, professional, researcher, or AI enthusiast, these practice exams will help you assess your understanding of key concepts and identify areas for improvement.The practice tests cover a wide range of topics, including:Basics of Generative Artificial IntelligenceAgentic Systems and Autonomous AgentsSelf-Governance, Agency, and AutonomyIntelligent Agent Characteristics and ArchitecturesMulti-Agent Systems (MAS)Agent Cooperation, Coordination, and NegotiationKnowledge Representation TechniquesSemantic Networks, Frames, and Logic-Based RepresentationsDeductive, Inductive, and Abductive ReasoningLearning Mechanisms for Adaptive AgentsDecision-Making and Utility FunctionsPlanning Algorithms and Problem SolvingReflection, Adaptation, and Ethical AIGenerative AI for Intelligent AgentsCourse Structure:Practice Test 1: Basics of Generative Artificial Intelligence (133 Questions)Practice Test 2: Introduction to Agentic Systems (153 Questions)Practice Test 3: Intelligent Agent Components (143 Questions)Total Questions: 400+By completing these practice tests, you will gain greater confidence in your understanding of Generative AI and Agentic AI concepts, improve your exam readiness, and reinforce the theoretical foundations required for working with modern intelligent systems.