Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Prepare with confidence for the Generative AI Engineer Certification using six comprehensive practice tests designed to simulate real certification exams and modern AI engineering challenges.
This course includes 360 carefully researched practice questions with detailed explanations that help you understand not only the correct answer but also the reasoning behind every option. The questions are based on the latest Generative AI technologies, enterprise engineering practices, and production-ready AI development workflows.
You'll strengthen your knowledge across the complete Generative AI ecosystem, including Large Language Models (LLMs), transformer architecture, prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, AI agents, Model Context Protocol (MCP), tool calling, workflow automation, model deployment, APIs, inference optimization, evaluation, monitoring, observability, AI security, governance, privacy, responsible AI, and enterprise architecture.
Each practice test includes certification-style questions, real-world implementation scenarios, architecture decisions, troubleshooting challenges, production deployment concepts, and technical interview questions to prepare you for both certification exams and AI engineering roles.
Whether you're building intelligent assistants, enterprise AI applications, RAG pipelines, AI agents, or scalable LLM-powered solutions, these practice exams will help you identify knowledge gaps, improve your problem-solving skills, and increase your confidence before taking the certification exam.
This course is ideal for AI Engineers, Machine Learning Engineers, Data Scientists, Software Engineers, Python Developers, MLOps Engineers, Solution Architects, cloud professionals, and anyone looking to validate their Generative AI knowledge through realistic certification-style practice tests.
Practice consistently, review every explanation carefully, and build the c
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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