Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Advance your career in Artificial Intelligence (AI) and prepare with confidence using this comprehensive Google Generative AI Certification Practice Test course. Designed for aspiring AI professionals, developers, cloud engineers, data analysts, technology consultants, and AI enthusiasts, this course provides realistic exam-style questions covering the most important concepts in modern Generative AI.Master high-demand topics including Google Gemini, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases, Vector Search, Multimodal AI, AI Agents, Function Calling, Grounding, Fine-Tuning, Model Evaluation, AI Safety, Responsible AI, AI Governance, Prompt Injection Prevention, Enterprise AI, and GenAI Best Practices.
Each practice test is carefully designed to strengthen your understanding of real-world AI concepts while helping you assess exam readiness, identify knowledge gaps, and improve confidence. Detailed explanations are provided for every question, enabling you to learn the reasoning behind correct answers and reinforce critical concepts used in production AI solutions.
Whether your goal is to pass a certification exam, enhance your professional skills, or gain practical knowledge of Google's AI ecosystem, these practice tests provide an effective and engaging learning experience. The questions range from foundational to advanced difficulty levels, helping you build expertise in both theoretical concepts and real-world business applications.
What You'll GainRealistic certification-style practice questions
Advanced coverage of Google Gemini and Generative AIStrong understanding of Prompt Engineering techniques
Practical knowledge of RAG, Embeddings, and Vector SearchExposure to Responsible AI and AI Governance concepts
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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