The G-Certification (JDLA Deep Learning for GENERAL) is a qualification exam administered by the Japan Deep Learning Association (JDLA) that tests fundamental knowledge of AI and deep learning. It requires a systematic understanding of the AI field, from basic concepts of artificial intelligence to machine learning, deep learning, generative AI, and AI ethics and law. The exam covers both the technical and societal aspects of AI, including the history of AI, machine learning algorithms, neural networks, Transformers, generative AI, and AI governance. This problem set is a collection of practice exam questions based on the G-Certification syllabus (2024 revised edition). It includes three practice exams (100 questions each) in the same format as the actual exam, allowing for practical test preparation. The structure is designed to help you comprehensively review your AI knowledge and improve your score through practice exercises that simulate the actual exam time. ⸻ ■ Contents of this Book 【Practice Exams】 ・1st G-Certification Practice Exam (100 questions) ・2nd G-Certification Practice Exam (100 questions) ・3rd G-Certification Practice Exam (100 questions) 【Question Fields】 ・Fundamentals of Artificial Intelligence (AI) ・AI and Society ・Overview of Machine Learning ・Specific Machine Learning Techniques ・Key Technologies of Deep Learning ・Applications of Deep Learning ・Generative AI ・AI Ethics, Law, and Governance ⸻ ■ Features ・Corresponds to the G-Certification Syllabus 2024 Revised Edition ・Includes 3 practice exams (300 questions in total) ・Enhances practical skills with the actual exam format ・Broadly covers everything from AI fundamentals to generative AI ・Includes explanations that make it easy to study independently